In a report by MIT, a student explains what AI is. He says, its kind of like a baby or a human brain because it has to learn, and it stores and uses that information to figure things out.

For a 10 yr old to give such an explanation on a vast phenomenon like AI, means that we have come a long way. AI has always been there and whether we know it or not we use it everyday. The place of artificial intelligence (AI) in the future of education is the subject of intense discussion. Fans of the technology argue that schools must adopt it and use it to deliver a more effective educational experience, while critics fear that its adoption will have a number of negative side consequences.

There is no clear consensus regarding which point of view is correct. AI does not have to be a one-size-fits-all solution. As with most technologies, implementing it safely and successfully necessitates a complete comprehension of the advantages and disadvantages. To give us more insights on this we had our monthly Roundtable session.

The session was moderated by Rathnakumar Udayakumar, Product Lead Cloud and AI at Netradyne along with our experienced panelists, Chiranjiv Roy, Vice President Industry 4.0, Applied AI at Course5i, Deepika Kaushal, Deputy Vice President at Piramal Capital & Housing Finance, Shan Duggatimatad, Data & AI leader- Sr Director at Ascendion, Parikshit Nag, Head of Data & Analytics at Indus OS and Anand K Sundaram, Head Retail Analytics at IDFC First Bank.

AI has been here since the machine was invented. Nothing has changed. The fundamentals have never been changed and it will never be changed in itself. The challenge is that the academic body, especially in emerging countries like India, never paced up with AI, because the last 25 years has always been about software development. Because everybody was focusing on Java. Now, everything can be done by generative AI or ChatGPT.

Thats when you require logic and require data. Thats where the premise comes into picture. The economic institutions, especially in emerging countries, had never been ready to do it. We see a lot of things where academics and corporate need to be together. But it actually has never been due to the diversity we have today. We are the largest, biggest population in India. We dont even know how deep and diverse the number of people who are passing out are.

Chiranjiv Roy, Vice President Industry 4.0, Applied AI at Course5i

Its fantastic how far we have moved, from the information being restricted to the elite part of the society. This relates to whether we will have information based education or transformational education. We are used to having information based education which is generated by 10% of the society, the rest 90% of that information is replicated, duplicated and consumed. But now we are entering into the transformation way of learning things.

The section of society, which was restricted from getting exposed to the new way of learning new things and new trends, is easily accessible now. I dont see any boundaries or any socio economic conditions. Some people may not have access to some quality education, because we do get an education, but the quality of education also matters and the networking matters, exposure matters. But theres a different set of challenges to deal with.

Shan Duggatimatad, Data & AI leader- Sr Director at Ascendion

Any transformation does not come easy. And its not done on an immediate basis, it takes a certain time to establish. In recent years there is too much excitement in the institutes and academies. Kids learn mobile apps at the age of eight but know nothing. Its a transformation stage. And sometimes in transformation, it takes a while to get the right things in place. For every person its like a dual ceiling.

Anand K Sundaram, Head Retail Analytics at IDFC First Bank

Analytics is all about predictive modeling. Everybody is fencing that some models will run and theyll change the world but Analytics is a mix of business plus math plus statistics. These are the basic combinations a person needs to know. From an academy perspective, I think they need to blend all of it together. In case they want to keep a pace, the first thing is to get your basics right for every kid who you are coaching.

Online courses are a little boring, because many times, you dont have a live instructor. Its more of a recorded session and if I have a question, I dont have anybody to talk to. Similarly, it goes with Academia right now in India, its not really a knowledge gaining kind of institution. Analytics is an upcoming area, if you get certified you get a job, and people come to the job and they struggle. We dont really look at knowledge, we dont really teach people how to survive in our environment. Especially when you have to deliver outcomes, because we are in the business of doing so.

Deepika Kaushal, Deputy Vice President at Piramal Capital & Housing Finance

Companies come in and tell you that if you learn to code, as a six year old, you will become the next Steve Jobs, but you probably wont. And even if you do become the next Steve Jobs, its probably not going to be because he picked up a course as a six year old. The rate at which AI is evolving, I think for any student who actually has exposure to all of these three subjects(math, stats and business) to begin with, and formed a strong base there is way more critical as compared to learning about NLP or large language model, some course or learning about decision trees and fitting them in the Titanic data set.

Institutions use some of the open source datasets which are available, and that doesnt make sense because they come back and talk about what they have done. But if you ask them how the decision tree works, theyll just falter. If you think about putting AI as a course right now, its evolving very fast. Standardising it into the curriculum doesnt make sense at this point in time. One thing, which we tremendously lack in India, is industry exposure. And there is a gap on both sides. If you look at Academia, they dont have enough industrial projects going for them.

In the real world scenario, if you look at most of the corporations, they dont have a strong AI or r&d division, which basically only focuses on research. Most of the AI teams, in corporates, have some business goals, which they need to achieve. And they need to deliver on that within a particular timeline. Because AI is expensive. I think that gap needs to be bridged really fast.

Parikshit Nag, Head of Data & Analytics at Indus OS

There are two aspects to it, one is the creation of it, and then governing it. Education is not just about technology itself. I dont think we are there yet. None of the institutes are really wrapping their heads around. What do we teach our kids? How do you make it easily accessible and easily comprehensible by our school kids or college kids? More than creation, the biggest challenge, the academy still needs to think about, is to educate or create awareness about how we govern this.

Some people refer to it as the curse of magic. So technology is not something that happened yesterday, it is just that awareness is exploding. So the technology itself is not really that complicated. We can train our people, we can put them through and grind them out. But how do we harness the power that needs to be educated along with creation of it? None of the institutes are ready for it yet.

Shan Duggatimatad, Data & AI leader- Sr Director at Ascendion

There is no standardized framework, yet in India, or even globally, per se, but it has started to seep into the ecosystem. These kinds of regulations are quite exhausted and have started seeping into the culture of individuals and institutes as well. The second thing is around data literacy. Why do we actually need to classify data? The thing is, its very easy to store data somewhere in a data lake and make it accessible to everyone.

But should the data thats available be accessible? Or should everyone be able to access, is a very critical question. The point is around data classification, ensuring that PII data is masked and kept separately, its not accessible to everyone, people who actually have permission, and its all time bound to ensure that they delete the data after a certain point in time. Its a good practice, but it will take time to actually standardize this into a particular bill. I think it will take some time for it to standardize, but I think it will come out more around ethical AI.

Its going to be more of an individual responsibility to say that lets not breach privacy, lets ensure that were doing things and it will be the responsibility of organizations and institutes who actually inculcate this kind of thinking.

Parikshit Nag, Head of Data & Analytics at Indus OS

Its exciting to see how the two industries can combine and what opportunities they bring out.

To conclude, the only thing better than learning from your own mistakes is asking a machine learning algorithm to do it for you. Rathnakumar Udayakumar, Product Lead Cloud and AI at Netradyne

This article is written by a member of the AIM Leaders Council. AIM Leaders Council is an invitation-only forum of senior executives in the Data Science and Analytics industry. To check if you are eligible for a membership, please fill out the formhere

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Council Post: Exploring Pros and Cons of Artificial Intelligence in ... - Analytics India Magazine

invest in ai

Artificial intelligence has become one of the most talked about technologies over the past few years. Many see AI with large dollar signs in their eyes. However, every new technology has a lag between invention and commodification and just as every new technology has the risk that it wont pan out. For investors, this poses a challenge. While the risks are real so, too, are the opportunities. So, for a technology that is still effective in the drumroll phase, how can you invest? Here are a few ideas. For more personalized investment advice, consider working with a financial advisor.

Artificial Intelligence Industry

Artificial intelligence has not yet been truly monetized. Now, theres a lot to unpack in that statement. For starters, tech companies have been integrating AI into their software for a generation and making tons of money off it. From autocorrect to playlists to the monsters in World of Warcraft, companies have been profiting off software decision-making for a long time.

The new AI, however, is a different thing entirely. The news-making artificial intelligence has come in the form of predictive algorithms like ChatGPTs chatbot software and DALL-Es image generator. These tools remain experimental. They are inventions and innovations but, at the time of writing, not yet products. Part of that is because engineers still arent quite sure what they are yet.

Advocates say that current AI software represents a fundamentally new tool, one that will change the way we interact with information and each other. Critics argue that they are just high-volume autocorrects, machines best suited for reorganizing existing work at best and stealing it at worst, but incapable of creating new value.

In both cases, monetization is a challenge. If tools like ChatGPT represent a true leap forward, then companies will need some time to figure out their commercial use. If, instead, they fundamentally rely on copying and pasting the work of others, then they may be more novelty than revolution.

Story continues

However, that doesnt mean that there arent opportunities to invest and profit yourself. Here are some of the best ways you can benefit financially from the early stages of AI development.

If youre ready to be matched with local advisors that can help you achieve your financial goals, get started now.

Invest In Individual Stocks Like Google and Microsoft

Alphabet (GOOG), or Google, and Microsoft (MSFT), which kept its maiden name, are some of the earliest companies racing for commercial AI applications. In both cases, their goal is to search. Both companies want to turn their search engines into a conversational source of inquiry, analysis and advice.

Instead of searching for information by a string of keywords, you would just ask the search engine questions and it would pop out the answer based on whats out there on the web. In this way, AIs best and worst qualities align with the business model of search. The goal is to paraphrase articles like this onto Google/Microsoft sites, so those companies can collect the ad revenue without having to pay for the work.

Googles Bard AI remains experimental and, true to the products core design, Bings AI search remains underwhelming. However, both companies hope to make this a major product at some point in the future.

This is a theme that applies broadly: Invest in companies that are will use AI in their products. As currently designed, AI will most likely be a backend feature in an enormous range of technology products. So, for example, while your phone is the front-end product, meaning the product you directly interact with, AI will become part of the back-end, meaning one of the many moving pieces that make your phone work.

Look for companies that can use AI in their products. Invest in them directly, so that you can collect their gains from this new technology.

Use Robo-Traders

invest in ai

Robo-traders have emerged as a major section of the market and for a good reason.

A robo-trader is a company that offers algorithmically managed portfolios. In essence, you invest your money according to a series of goals or conditions that you establish, then the brokerage manages that portfolio based on its own software model. These have shown particularly good results for investors because they tend to seek long-term investments, which tend to outperform short-term and high-volume trading.

Artificial intelligence has the potential to improve this further. Investors are already experimenting with AI-built portfolios and investment strategies. This trend will only continue to grow and the companies that build their portfolios with AI from the ground up will stand to benefit significantly.

Invest In AI Funds

As with all industries, an excellent way to invest in AI is through relevant funds. In fact, theres something of a gold rush on artificial intelligence ETFs right now. The market is filled with companies that are looking to capitalize on companies that operate in or around this technology.

For an investor, this is both an opportunity and a problem. The opportunities are out there, but how do you identify good investments? One good approach is to start by deciding how you want to invest in AI. There are ETFs, for example, such as Global X Robotics & Artificial Intelligence ETF (BOTZ) and ROBO Global Robotics and Automation Index ETF (ROBO), among others that let you invest in this market.

These funds invest in stocks and assets that support AI, such as companies that make the chips and hardware that AI companies depend on. Other funds will try to invest directly, buying into companies that are developing AI software itself, while others will invest in the companies that will use AI in their own products.

The best place to start with an AI-related fund is to look at how it invests. That will help you figure out if this is something youre interested in.

The Bottom Line

invest in ai

Artificial intelligence could very well be the next big boom. However, it can be difficult to determine the right areas that could make strong investments. Both directly and indirectly, AI might present plenty of opportunities that you can profit from. Finding the right one for you will depend on a number of factors including your expectation of risk.

Technology Investment Tips

Investing in any new technology is a risk. When it pays off, it can pay off big, but there are no guarantees. A financial advisor can help you determine the best investment plan for you when it comes to AI. Finding a financial advisor doesnt have to be hard.SmartAssets free tool matches you with up to three vetted financial advisors who serve your area, and you can interview your advisor matches at no cost to decide which one is right for you. If youre ready to find an advisor who can help you achieve your financial goals, get started now.

Finance and technology go hand-in-hand and the industry dedicated to that idea is called fintech. Its important to fully understand how the industry operates if youre wanting to invest.

Photo credit: iStock.com/Thai Liang Lim, iStock.com/Laurence Dutton, iStock.com/imaginima

The post How to Invest in Artificial Intelligence appeared first on SmartAsset Blog.

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Smart Ways to Invest in Artificial Intelligence - Yahoo Finance

"Until meaningful government safeguards are in place to protect the public from the harms of generative AI, we need a pause."

So says a report on the dangers of artificial intelligence (AI) published Tuesday by Public Citizen. Titled Sorry in Advance! Rapid Rush to Deploy Generative AI Risks a Wide Array of Automated Harms, the analysis by researchers Rick Claypool and Cheyenne Hunt aims to "reframe the conversation around generative AI to ensure that the public and policymakers have a say in how these new technologies might upend our lives."

Following the November release of OpenAI's ChatGPT, generative AI tools have been receiving "a huge amount of buzzespecially among the Big Tech corporations best positioned to profit from them," the report notes. "The most enthusiastic boosters say AI will change the world in ways that make everyone richand some detractors say it could kill us all. Separate from frightening threats that may materialize as the technology evolves are real-world harms the rush to release and monetize these tools can causeand, in many cases, is already causing."

Claypool and Hunt categorized these harms into "five broad areas of concern":

In a statement, Public Citizen warned that "businesses are deploying potentially dangerous AI tools faster than their harms can be understood or mitigated."

"History offers no reason to believe that corporations can self-regulate away the known risksespecially since many of these risks are as much a part of generative AI as they are of corporate greed," the statement continues. "Businesses rushing to introduce these new technologies are gambling with peoples' lives and livelihoods, and arguably with the very foundations of a free society and livable world."

On Thursday, April 27, Public Citizen is hosting a hybrid in-person/Zoom conference in Washington, D.C., during which U.S. Rep. Ted Lieu (D-Calif.) and 10 other panelists will discuss the threats posed by AI and how to rein in the rapidly growing yet virtually unregulated industry. People interested in participating must register by this Friday.

"Businesses rushing to introduce these new technologies are gambling with peoples' lives and livelihoods, and arguably with the very foundations of a free society and livable world."

Demands to regulate AI are mounting. Last month, Geoffrey Hinton, considered the "godfather of artificial intelligence," compared the quickly advancing technology's potential impacts to "the Industrial Revolution, or electricity, or maybe the wheel."

Asked by CBS News' Brook Silva-Braga about the possibility of the technology "wiping out humanity," Hinton warned that "it's not inconceivable."

That frightening potential doesn't necessarily lie with existing AI tools such as ChatGPT, but rather with what is called "artificial general intelligence" (AGI), through which computers develop and act on their own ideas.

"Until quite recently, I thought it was going to be like 20 to 50 years before we have general-purpose AI," Hinton told CBS News. "Now I think it may be 20 years or less." Eventually, Hinton admitted that he wouldn't rule out the possibility of AGI arriving within five yearsa major departure from a few years ago when he "would have said, 'No way.'"

"We have to think hard about how to control that," said Hinton. Asked by Silva-Braga if that's possible, Hinton said, "We don't know, we haven't been there yet, but we can try."

The AI pioneer is far from alone. In February, OpenAI CEO Sam Altman wrote in a company blog post: "The risks could be extraordinary. A misaligned superintelligent AGI could cause grievous harm to the world."

More than 26,000 people have signed a recently published open letter that calls for a six-month moratorium on training AI systems beyond the level of OpenAI's latest chatbot, GPT-4, although Altman is not among them.

"Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable," says the letter.

While AGI may still be a few years away, Public Citizen's new report makes clear that existing AI toolsincluding chatbots spewing lies, face-swapping apps generating fake videos, and cloned voices committing fraudare already causing or threatening to cause serious harm, including intensifying inequality, undermining democracy, displacing workers, preying on consumers, and exacerbating the climate crisis.

These threats "are all very real and highly likely to occur if corporations are permitted to deploy generative AI without enforceable guardrails," Claypool and Hunt wrote. "But there is nothing inevitable about them."

They continued:

Amid "growing regulatory interest" in an AI "accountability mechanism," the Biden administration announced last week that it is seeking public input on measures that could be implemented to ensure that "AI systems are legal, effective, ethical, safe, and otherwise trustworthy."

According toAxios, Senate Majority Leader Chuck Schumer (D-N.Y.) is "taking early steps toward legislation to regulate artificial intelligence technology."

In the words of Claypool and Hunt: "We need strong safeguards and government regulationand we need them in place before corporations disseminate AI technology widely. Until then, we need a pause."

More here:

Experts Demand 'Pause' on Spread of Artificial Intelligence Until ... - Common Dreams

Download this press release (PDF)

Photo: Maxpread Avatar CEO

SACRAMENTO The California Department of Financial Protection and Innovation (DFPI) announced today it has issued desist and refrain orders against five entities to stop fraudulent investment schemes tied to artificial intelligence (AI).

Todays enforcement actions continue the DFPIs crack down on investor fraud. Scammers are taking advantage of the recent buzz around artificial intelligence to entice investors into bogus schemes, said DFPI Commissioner Clothilde Hewlett. We will continue our efforts to protect California consumers and investors by going after these unscrupulous actors.

The orders find that the named entities and individuals violated California securities laws by offering and selling unqualified securities and making material misrepresentations and omissions to investors. The entities solicited funds from investors by claiming to offer high yield investment programs (HYIP) that generate incredible returns by using AI to trade crypto assets. As part of their solicitations, they used multi-level marketing schemes that reward investors for recruiting new investors.

The subjects of todays desist and refrain orders are the following entities and individuals:

The Anatomy of the Scams

Taking advantage of the hype around AI, these entities claimed to use AI to conduct the purported crypto trading. The pitch was simple: investors were told that if they invested funds, these entities would use their knowledge, skill, experience, and AI to trade crypto assets and generate incredible profits for investors. In each case, these claims are false.

Each of these entities went to great lengths to appear as if they were legitimate businesses. They created professional websites, maintained social media accounts, and were promoted on social media by influencers and investors that shared stories of the money they were supposedly making.

For investors, these schemes may seem as if they are operating as promised for a certain amount of time. For weeks, months, or even years, investors see their account balances steadily increase. In the early stages, HYIPs will process investors withdrawal requests to gain investors trust and encourage them to recruit others. However, a time will come when the scheme stops processing withdrawals and then the website goes dark, leaving investors without a way to access their funds. By then its too late and the scammers have disappeared with investors money.

DFPIs Crackdown on High Yield Investment Programs

These orders continue the DFPIs crackdown on HYIPs. These programs use social media and influencers to quickly raise hype about the promised returns and low risk of the investment, then the operators quickly disappear leaving investors with no recourse to retrieve their money. Learn more about HYIPs:

The DFPI expects any person offering securities, lending, or other financial services in California to comply with our financial laws. Investors may file a complaint directly with the DFPI if they suspect a company of using unlawful, unfair, deceptive, or abusive practice online (dfpi.ca.gov/file-a-complaint) or call toll-free at (866) 275-2677.

About DFPI

The DFPI protects consumers, regulates financial services, and fosters responsible innovation. The DFPI protects consumers by establishing and enforcing financial regulations that promote transparency and accountability. We empower all Californians to access a fair and equitable financial marketplace through education and preventing potential risks, fraud, and abuse. Learn more atdfpi.ca.gov.

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DFPI Launches Sweep of Investment Fraud Claiming Ties to ... - California Department of Financial Protection and Innovation

SUMMARY

Illinois and other jurisdictions have adopted, or are considering, laws establishing parameters for employer use of AI during the hiring process.

The current attention being given to ChatGPT and other technologies using artificial intelligence (AI) is prompting companies to consider (or take another look) at how AI can and/or should play a role in their operations. From an employment law perspective, employers in Illinois and elsewhere should be aware of existing laws and guidance, and also should keep an eye out for the additional restrictions that will undoubtedly come as the use of AI becomes more prevalent.

In 2020, Illinois adopted the Artificial Intelligence Video Interview Act (820 ILCS 42/1), which establishes parameters for employer use of AI during the hiring process. If an employer intends to ask applicants to record video interviews so that it can use an AI analysis of such videos as part of the evaluation process, the employer must:

Sharing of such videos is limited to those with the expertise or technology necessary to evaluate the applicants fitness for a position. The videos (including all copies) must be destroyed within 30 days of a request by the applicant. These restrictions presumably apply to both new hires and employees who are seeking new positions within a company.

Illinois is not the only jurisdiction with AI restrictions on the books or under consideration. Bryan Cave Leighton Paisners Data Privacy group has prepared a summary of current and pending AI legislation around the United States.

California is among the jurisdictions currently reviewing proposed laws and regulations on the subject of the use of AI when making employment decisions, while Maryland enacted a law similar to Illinois in 2020, placing restrictions on the use of facial recognition services during pre-employment interviews until the applicant provides consent.

A more extensive law will be enforced in New York City beginning July 5, 2023: The New York City Automated Employment Decision Tools Law (AEDTL) which, among other things, requires employers to (a) conduct an audit for potential bias before using any artificial intelligence tools that screen candidates for hire or promotion, (b) give advance notice to candidates concerning the use of such tools, and (c) provide information on their websites about the tools and data collected. More information on the AEDTL is available here.

The potential for bias in the use of artificial intelligence tools is a key concern of the federal Equal Employment Opportunity Commission (EEOC) as well. The EEOC launched an agency-wide initiative on the subject in 2021, with a goal of ensuring that, the use of software, including artificial intelligence (AI), machine learning, and other emerging technologies used in hiring and other employment decisions comply with the federal civil rights laws that the EEOC enforces.

In May 2022, the EEOC issued guidance on the subject of, The Americans with Disabilities Act and the Use of Software, Algorithms, and Artificial Intelligence to Assess Job Applicants and Employees. This guidance provides definitions of key terms and explains how the use of algorithmic decision-making tools may violate the Americans with Disabilities Act (ADA), and notes that the use of a third-party vendor to develop and/or administer such a tool is not likely to insulate the employer from liability in connection with the results of using that tool. The EEOC held a public hearing on the issue of employment discrimination and the use of AI in January 2023, and is likely to continue its focus on this developing area.

As the use of AI in the hiring and selection process continues to evolve, employers should: (1) become familiar with artificial intelligence concepts; (2) examine, understand, be able to explain, and monitor their automated recruiting tools and practices; and (3) take steps to avoid bias and comply with applicable law.

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Reminder For Illinois (And Other) Employers: Restrictions Apply ... - JD Supra

Hi there! Im TaxGPT, a friendly AI tax adviser.

Well, thanks anyway, but I had a human file my tax return for me this year.

But of course, we know the world is changing as Artificial Intelligence or AI dominates the planet.

AI is now a hot topic as almost 77 per cent of devices today use AI technology. There are more AI assistants today, a figure which will eventually surpass the number of people on this Earth.

According to carbon60global.com the AI market is expected to reach $407 billion by 2027. By 2057, robots could replace or displace 2.7 million jobs in construction and engineering alone.

How many times have you said, Hey Google, where is the nearest Italian restaurant?

Hey Siri, what is the population of Nunavut?

Alexa, play me my favourite Lionel Richie songs from the 80s.

AI is software meant to mimic a human mind and model human intelligence.

According to Reference.com, the general benefit of AI is that it replicates decisions and actions of humans without human shortcomings such as fatigue, emotion and limited time.

I am thinking of adding a shortcoming such as stupidity to the list, which would mean we could replace the average politician with artificial intelligence.

Machines driven by AI technology are being used to replace humans as they are able to perform consistent repetitious actions without getting tired.

They dont need work breaks or work-life balance or time off due to sickness. They are available 24/7 and reduce the need for human personnel.

Theres a reduction in human error.

Those are some of the advantages.

However, currently, the disadvantages are that machines are neither flexible nor creative, as robots cant think outside the box. It stifles critical thinking as AI cant be improved with experience like we can. Costs are high and it leads to unemployment and the risk of making humans lazy.

Is Artificial Intelligence improving the lives of seniors today?

Absolutely.

During the pandemic, research studies were done in Sweden and the U.K. where a chatbot, an interactive computer program using AI voice technology, was used to interact with isolated seniors.

The researchers used a chatbot called ChatGPT (Generative Pre-Trained Transformer) as a cure for loneliness. It replicated human conversation, covering a wide array of topics. It can create human-like responses when prompted.

As visitors werent allowed to visit their elderly loved ones during the lockdown, ChatGPT could also help the isolated seniors answer questions, problem-solve as well as compose letters to their family.

Thats a good thing, but on the downside, chatbots could easily replace human interactions with all of their emotional baggage and drama.

At Drexel University in Pennsylvania, (drexel.edu) researchers say that using similar voice technology helps with early detection of dementia and Alzheimers disease. The chatbox program used was 80 per cent accurate in predicting early signs of dementia because language impairment affects between 60 and 80 per cent of dementia patients. The program can detect subtle clues such as grammar and pronunciation mistakes, hesitation and forgetting the meaning of words.

As the AI creators strive to produce a machine with a humans intellectual capacities, its billionaire executives such as Sam Altman fear that superhuman machine intelligence is probably the greatest threat to the continuous existence of humanity. Even Elon Musk is asking for a six-month moratorium on the development of advanced AI systems, including the latest version of ChatGPT.

But fellas, before you take a hiatus, could you develop me an interactive chatbot, who well call George, to be at my beck and call?

Hey George, rub my tired feet. While youre at it, peel me a grape!

April Lewis writes monthly on seniors issues for Peace Arch News.

AI technologyColumnSeniors

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SAVVY SENIORS: Artificial Intelligence will be a genuine game ... - Peace Arch News

DUBLIN, April 18, 2023 /PRNewswire/ -- The "Artificial Intelligence in Healthcare Market - Growth, Trends, COVID-19 Impact, and Forecasts (2023-2028)" report has been added to ResearchAndMarkets.com's offering.

Research and Markets Logo

The artificial intelligence in the healthcare market is expected to register a CAGR of 42.2% during the forecast period.

Companies Mentioned

Key Market Trends

Medical Imaging & Diagnostics To Hold Significant Share in the Market

In diagnostics, AI enables healthcare providers to make the most appropriate treatment decisions for their patients. AI can be used to identify cancer, triage crucial discoveries in medical imaging, flag acute abnormalities, assist radiologists in prioritizing life-threatening patients, diagnose cardiac arrhythmias, forecast stroke outcomes, and assist with chronic disease management.

The rise in the prevalence of chronic diseases, along with product launches by market players, drives the segment. For instance, the Cancer Facts and Figures 2022, published in January 2022 by the American Cancer Society, predicted approximately 1.9 million new cancer cases in 2022, estimating 186,670 prostate cancer cases, followed by 169,870 cases of lung cancer and 144,490 cases of female breast cancer.

The increased prevalence of cancer and the high burden of other chronic diseases are, in turn, increasing the demand for accurate diagnosis and treatment. This is likely to increase the adoption of AI for early diagnosis purposes, ultimately boosting the market growth.

Incorporating AI into imaging devices may improve diagnosis, which is expected to aid market growth during the forecast period. For instance, in December 2021, Roche introduced three artificial intelligence (AI) based, deep learning image analysis Research Use Only (RUO) algorithms developed for breast cancer.

Story continues

Additionally, in April 2022, Arterys, the vendor-neutral AI platform, launched several new modules to its robust Cardio AI clinical application and an additional (eighth) Food and Drug Administration (FDA) AI clearance based on deep learning.

Additionally, various strategies adopted by the market players are expected to propel the segment's growth. For instance, in November 2021, LifeVoxel, based in San Diego, raised USD 5 million in a seed round to improve the data intelligence of its AI diagnostic visualization platform for faster and more accurate prognosis. Healthcare facilities employ the Software-as-a-Service (SaaS) platform for remote diagnostics in various medical specialties, including radiology, cardiology, and orthopedics.

Thus, all the aforementioned factors, such as the growing prevalence of chronic diseases and key strategies adopted by market players, are expected to boost the segment's growth over the forecast period.

North America Expected to Hold a Significant Market Share

The use of artificial intelligence in the North American healthcare market is being driven by the increasing use of advanced technology in healthcare systems, the growth in funding of AI-based startups, the rising burden of chronic diseases in the country, the growing need to reduce healthcare costs, and the implementation of big data in healthcare.

The increased adoption of big data in healthcare in the region is expected to propel the market's growth. For instance, in August 2022, the Children's Hospital of Philadelphia (CHOP) and the University of Pennsylvania School of Medicine (Penn Medicine) launched the big data-driven Penn-CHOP Kidney Innovation Center, which will support research to improve patient care for adults and children with kidney disease.

Moreover, the Association of American Medical Colleges reported in August 2022 that the United States spends USD 4 trillion per year on health care. Thus, the region is facing the need to minimize healthcare costs, which can be accomplished by applying AI in healthcare, thereby enhancing market growth.

Furthermore, introducing technologically advanced products into the market is expected to propel the market's growth. For instance, in December 2021, Crawford & Company introduced Crawford Intelligent Fraud Detection.

It combined human expertise and forensic analysis, joining DXC Luxoft's Financial Crimes Intelligence platform with IBM, improvising how it recognizes and manages fraudulent claims for its clients. Additionally, in June 2022, My Intelligent Machines (MIMs) launched software with artificial intelligence that has the potential to transform the way organizations prepare for oncology clinical trials or drug development.

Strategic activities of the market players are also expected to support the market's expansion. For instance, in June 2022, Insilico Medicine opened a fully automated, artificial intelligence-driven robotics lab for drug research.

Thus, all the factors mentioned above, such as the growing demand for big data in healthcare and technologically advanced product launches, are expected to boost the market over the forecast period.

Key Topics Covered:

1 INTRODUCTION

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS4.1 Market Overview4.2 Market Drivers4.2.1 Growing Need to Reduce Increasing Healthcare Costs4.2.2 Big Data in Healthcare4.2.3 Ability of AI to Improve Patient Outcomes and Growing Importance of AI-assisted Robot Surgery4.3 Market Restraints4.3.1 Reluctance Among Traditional Practitioners to Adopt AI-based Technologies4.4 Industry Attractiveness - Porter's Five Forces Analysis

5 MARKET SEGMENTATION (Market Size by Value - USD million)5.1 By Technology5.1.1 Natural Language Processing (NLP)5.1.2 Deep Learning5.1.3 Context Aware Processing5.1.4 Querying Method5.1.5 Other Technology Types5.2 By Application5.2.1 Robot-assisted Surgery5.2.2 Virtual Nursing Assistants5.2.3 Fraud Detection5.2.4 Drug Discovery and Research5.2.5 Dosage Error Reduction5.2.6 Medical Imaging and Diagnostics5.2.7 Wearables5.2.8 Other Application Types5.3 By Offering5.3.1 Hardware5.3.2 Software5.3.3 Services5.4 By End-user5.4.1 Healthcare Payers5.4.2 Healthcare Providers5.4.3 Pharmaceutical and Biotechnology Companies5.4.4 Patients5.4.5 Other End-user Types5.5 By Geography

6 COMPETITIVE LANDSCAPE6.1 Company Profiles

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

For more information about this report visit https://www.researchandmarkets.com/r/z2i953

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Global Artificial Intelligence in Healthcare Market Report 2023: Ability of AI to Improve Patient Outcomes and Growing Importance of AI-assisted Robot...

The following represents the opinion of the student reporter and does not represent the views of Loyola University Maryland, the Greyhound, or Loyola Universitys Department of Communication.

Large language models (LLMs) are here to stay. These are artificial intelligence systems that can generate natural, fluent and coherent text on any topic, given some input. They can also converse with humans, answer questions, write code and perform other tasks that require natural language understanding and generation.

Some of the most popular LLMs today are ChatGPT, Bard, and Bing. ChatGPT is developed by OpenAI, a research organization backed by tech luminaries like Elon Musk and Sam Altman. Bard is created by Google, based on its Language Model for Dialogue Applications (LaMDA). Bing is powered by Microsoft, using its own proprietary technology.

These LLMs have attracted millions of users who use them for various purposes, such as entertainment, education, productivity, and creativity. Some examples of how people use LLMs are:

Chatting with ChatGPT for fun, learning or companionship. ChatGPT can engage in casual conversations, tell jokes, stories and trivia, and even flirt with users. It can also adapt to different personalities and tones, depending on the users preferences.

Using Bard to generate ideas, summaries and content. Bard can help users with writing tasks, such as drafting emails, blog posts, presentations and essays. It can also provide suggestions, feedback and insights on various topics and domains.

Leveraging Bing to search for information, answers and solutions. Bing can not only provide relevant web results, but also generate natural language responses that explain the results or provide additional details. It can also solve problems, such as math equations, puzzles and quizzes.

The benefits of using LLMs are manifold. They can save time, enhance creativity, improve communication and expand knowledge. They can also provide entertainment, comfort and support. However, there are also some challenges and risks associated with LLMs, such as:

The quality and reliability of the generated text. LLMs are not always accurate or factual, as they rely on probabilistic methods and large amounts of data that may contain errors or biases. Users need to be aware of the limitations and uncertainties of LLMs, and verify the information they provide.

The ethical and social implications of the generated text. LLMs may produce text that is harmful, offensive or inappropriate, either intentionally or unintentionally. Users need to be responsible and respectful when using LLMs, and avoid generating or spreading text that may cause harm or offense to others.

The security and privacy of the user data. LLMs may collect and store user data, such as queries, responses and preferences, for improving their performance or providing personalized services. Users need to be aware of the data policies and practices of the LLM providers, and protect their personal information and identity.

LLMs are a powerful and promising technology that can transform the way we interact with information and each other. They offer many opportunities and benefits for users who want to explore new possibilities and enhance their capabilities. However, they also pose some challenges and risks that require caution and awareness from users who want to use them safely and ethically.

I would like to give Microsoft Bing a special thanks for writing all of that for me.

Here is the prompt I fed it to get that response: Write a NYT article about how LLMs like ChatGPT, Bard, and Bing are here to stay, and how people use them as a benefit. It took ten seconds to generate all of that text.

My Experience Using LLMs

Ive spent some time using all three platforms listed above. Both Microsoft Bing and ChatGPT are free to use to the public, but for Bard, you must join a waitlist. Of all three of them, ChatGPT-4 is the most advanced, followed by Bing and then Bard.

Bing is more informational and research based, while ChatGPT and Bard are more conversational based. You can feed them ludicrous tasks and it will fulfill them, as long as it isnt deemed offensive. The most creative thing I got ChatGPT to do was pretend to be Barack Obama giving a speech about the pandemic, but structured as if it was written like the King James version of the Bible. Needless to say, its pretty remarkable. The current version of OpenAIs platform is called ChatGPT-4. It only has access to information leading up to September 2021.

Microsoft Bing is much different, and I have been using it for a couple of weeks now. You can access it by using the Bing search engine, however, if you use Microsoft Edge as a browser, it has a dedicated button that you can press. Bing is separated into three options, the Chat feature, the Compose feature, and insights. I created the snippet above using the Compose feature, which allows you to do anything from paragraphs to emails, with different tones and lengths. However, the feature I find myself using the most is the Chat feature.

The Chat feature works differently than ChatGPT. First you select a tone of response: either creative, balanced, or precise. For the sake of my usage, I have been using precise. Afterward, you simply enter in whatever you want to know and it will scour the internet for responses and then generate a response based on sources that it pulls. The sources can be accessed either by clicking on the text, or by clicking the links at the bottom.

Bard by Google is like ChatGPT, except that it has access to the internet. However, it is by far the worst one. While it is able to generate responses faster than its competitors, the information is more often than not incorrect, and I have noticed that it has biases that can be considered problematic. Google says that Bard is experimental and a work in progress, and it is clear that this program certainly needs more work.

GPT in the Classroom

Based on the popularity, it is very clear that LLMs are here to stay. However, the quick rise in use has left educators scrambling to adapt. Some applications, like TurnItIn, are able to detect writing created by artificial intelligence. Yet, that may not dissuade some students from using it, so the question now becomes: Should LLMs like ChatGPT be outright banned, or should educators learn to adapt its usage into the classroom?

I believe that the latter is a much more practical answer for the classroom. ChatGPT and Bing should be treated as tools, just as search engines and databases are. As these programs are slowly being implemented into browsers and other services, to outright ban them would do more harm than good. But what is stopping students from using it to blatantly cheat? Trevor Oberlander 24 has a pessimistic view on this.

College degrees are worthless now because of ChatGPT, he said. If everyone is cheating, learning in class becomes redundant.

Oberlander, an economics major, says that GPAs can no longer be considered a unit of measure for school, since it is impossible to tell if legitimate work was done to receive the number. The amount of effort between students is incomparable if it is impossible to tell who actually put in effort to do work.

Lily Tiger 24 is also skeptical about LLMs. As an English major, she is very worried about the future of education and job security with her degree.

I went to a career fair and I asked if anyone has any positions for experience with research and writing skills, she said. If that is what ChatGPT can do then it makes me feel threatened.

Tiger is also considering a career path in high school education, so the prospect of a readily available and free answer machine makes her nervous for schooling in the future. She also believes that the education system needs to adapt or somehow integrate LLMs into the classroom.

We cant see it as a fear, because its already here. If we refuse to talk about it, that isnt a good idea. Teachers need to learn how to use this with their students as a resource, Tiger said.

Whats in store for the future?

While ChatGPT is currently a novel technology, in the five month timeframe between the release of GPT-3 and GPT-4, the abilities of the artificial intelligence have grown exponentially. In a recent interview on the Lex Fridman Podcast, Open AIs CEO, Sam Altman, stated that ChatGPT, will make a lot of jobs just go away.

I came across a TikTok recently that showed how GPT was integrated into a software program that creates over 100 professional grade headshots, based on a photo that the user submits. This is all done in mere hours. That right there is an industry killer, and the professional photography industry is not the only one affected so far. OpenAI recently announced that Shopify users will now have the ability to integrate a GPT-powered customer support representative on their online stores. Now, the customer support industry has been flattened as well.

ChatGPT is slowly creeping into every facet of our daily lives. Spotify now has a ChatGPT powered DJ that mimics a human DJ, and plays music tailored to your taste. Quizlet now has a GPT study partner, which asks you surprisingly in depth questions about flashcards that the user has provided. Even Snapchat has released a premium feature called My AI, which is a virtual friend that users can communicate within their Snapchat+ subscription. CNET, a company which writes news about technology and consumer electronics, revealed earlier this year that they have used artificial intelligence to write dozens of their articles.

Needless to say this phenomenon is not going away anytime soon. In fact, I would say that it is here to stay. So what is the solution for the AI takeover? Unfortunately, I do not think that there is an answer that would satisfy everyone. On one hand, LLMs are quickly proving to be an excellent resource for many. However, concerns about the ethics of using it are very real. And with Sam Altman outright saying that entire industries will be replaced by AI, the cause for concern is warranted.

A petition is currently circulating online which has been signed by the likes of Elon Musk and Apple co-founder Steve Wozniak. The petition is calling for the halt of AI development past ChatGPT-4 for at least six months. The main tenet of this petition is that Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable.

The petition goes on to state that OpenAI recently announced that At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of computers used for creating new models. The signers believe that now is the time for them to do this. They are worried about the competitiveness of AI and the idea that we are quickly entering a stage in technological evolution, where AI could become human-like.

Im not one to toot the horn of someone like Elon Musk, however, we are clearly at a pivotal moment in the history of technology. It is incredible what ChatGPT and other LLMs can do, however, I feel that we as a society should tread lightly down the artificial intelligence road. Science fiction is full of stories regarding artificial intelligence takeover. While I do believe we are leagues away from that happening, we should still err on the side of caution.

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The Artificial Intelligence Takeover Has Begun The Greyhound - The Greyhound

How is artificial intelligence used in cricket?

Cricket is a bat-and-ball game that originated in England in the 16th century additionally, has since become a popular sport around the world. While there is no direct connection between the sport of cricket and artificial intelligence, there have been some notable applications of AI in the sport in recent years.

Cricket has a long and rich history, with the first recorded game taking place in the 16th century. Over time, the game evolved and became more formalized, with the first international match played in the mid-19th century. Today, cricket becomes played at both the professional and amateur levels. Moreover, with international tournaments such as the Cricket World Cup and the Ashes attracting millions of viewers around the world.

One area where AI has become used is in player analysis, where data from matches and training sessions analyze with machine learning algorithms to identify patterns and trends. Thus this can help coaches and players identify areas for improvement and develop more effective training programs.

Another area where AI has become applied in cricket is in the use of virtual reality training simulations. By using VR headsets and controllers, players can practice and refine their skills in a simulated environment, which can be especially useful for training when outdoor facilities are not available.

AI has also become used in cricket umpiring. Where machine learning algorithms help umpires make more accurate decisions. However, this technology is still in its early stages, but has the potential to revolutionize the sport by reducing errors and improving the overall accuracy of umpiring decisions.

In conclusion, while there is no direct connection between the sport of cricket and artificial intelligence, there have been some notable applications of AI in the sport in recent years. Furthermoe, from player analysis and virtual reality training simulations to umpiring technology. Lastly, AI has the potential to transform the way the sport becomes played and officiated. In addition could help take cricket to new heights of popularity and success in the years to come.

Cricket + Artificial Intelligence SV4U Blog (siliconvalley4u.com)

How AI is helping to improve Cricket (analyticsinsight.net)

used in the IPL? (indiaai.gov.in)

Cricket? Mad About Sports

Artificial Intelligence in Cricket (thinkml.ai)

AI IN CRICKET. -BATTING ITS WAY OUT!!!! | by Asthajha | Student Technical CommunityVIT Vellore | Medium

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How is artificial intelligence used in cricket? - Rebellion Research

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Nvidia's $329 Billion Surge Helped By Artificial Intelligence ... - Baker City Herald

The rapid adoption of new artificial intelligence apps and an intensifying bid for dominance among tech giants Amazon, Google and Microsoft are expected to drive investment and double-digit growth for the data center industry in the next five years.

A gold rush of AI these days centers on the brisk development of tools such as ChatGPT, according to a new analysis from real estate services firm JLL. Voice- and text-generating AI apps could transform the speed and accuracy of customer service interactions and accelerate demand for computing power, as well as the systems and networks connecting users that data centers provide, the real estate firm said.

The emergence of AI comes on the heels of increased usage of data centers in the past few years, as people spend more time online for work and entertainment, fueling the need for these digital information hubs, which provide the speed, memory and power to support those connections.

JLL projected that half of all data centers will be used to support AI programs by 2025. The new AI applications need for enormous amounts of data capacity will require more power and expanded space for the data center services, particularly colocation facilities, which are a type of data center that rents capacity to third-party companies and may service dozens of them at one time. It's also a potential growth area for commercial property investors.

We expect AI applications, and the machine learning processes that enable them, will drive significant demand for colocation capabilities like those we provide, Raul Martynek, CEO of Dallas-based DataBank, told CoStar News in an email. Specifically, the demand will be for high-density colocation and data centers that provide significantly greater concentrations of power and cooling.

One kilowatt hour of energy can power a 100-watt light bulb for 10 hours, and traditional data server workloads might require 15 kilowatts per typical cabinet, or server rack, Martynek said. But the high-performance computing nodes required to train large language models like ChatGPT can consume 80 kilowatts or more per cabinet.

This requires more spacing between cabinets to maintain cooling, or specialized water-chilled doors to cool the cabinets, Martynek said.

In addition to the added energy and water needs, the growth in data centers faces other challenges. Credit-rating firm S&P Global Ratings noted that long-term industry risks include shifting technology, cloud service providers filling their own data center needs, and weaker pricing. The data center industry, with power-hungry facilities running 24 hours a day and 365 days a year, has also received criticism from environmentalists.

DataBank owns and operates more than 65 data centers in 27 metropolitan markets. This month, it secured $350 million in financing from TD Bank to fund its ongoing expansion.

It was DataBanks second successful financing this year, coming just weeks after completing a $715 million net-lease securitization in March 1. Under net-lease offerings, issuers securitize their rent revenue streams into bonds. The sale of those bonds replenishes the issuers capital to be used to pay down debt and continue investments.

ChatGPT and other apps are bots that use machine learning to mimic human speech and writing. ChatGPT debuted in November and is most arguably the most sophisticated to launch so far. AI software developer Tidio estimated recently that usage of such bots has already grown to 1.5 billion users worldwide.

In January, Microsoft announced a new multibillion-dollar investment in ChatGPT maker OpenAI. Google has recently improved its AI chatbot, Bard, in an effort to rival its competitors. And Amazon Web Services, the largest cloud computing provider, introduced a service last week called Bedrock aimed at helping other companies develop their own chatbots.

Amazon CEO Andy Jassy touted the e-commerce giants AI plans in his annual letter to shareholders.

Most companies want to use these large language models but the really good ones take billions of dollars to train and many years and most companies dont want to go through that, Jassy said last week on CNBC. So what they want to do is they want to work off of a foundational model thats big and great already and then have the ability to customize it for their own purposes. And thats what Bedrock is.

The growth projections of AI have data center owners and operators at the forefront of the securitized bond market. Three data center providers have issued $1.3 billion in net-lease securitized offerings already this year, according to CoStar data. Thats more than all of last year combined. In addition, two more providers have offerings in the wings.

The sector is a bright spot in an otherwise weakened market for other commercial real estate securitized bond offerings, down more than 70% from the same time last year.

The data center space remains extremely attractive to capital sources looking for quality and stability versus other asset classes that have been challenged amidst uncertain economic conditions, Carl Beardsley, managing director and data centers lead at JLL Capital Markets, told CoStar News in an email.

JLL said data center financing comes from a variety of sources including debt funds, life insurance companies, banks and originators of commercial-mortgage backed securities.

Although money center banks and some regional banks have become more conservative during this volatile interest rate period, there is still a large appetite from the lender universe to allocate funds toward data centers, Beardsley said.

JLL is forecasting that the global data center market is expected to grow 11.3% from 2021 through 2026.

Across its six primary data center markets Chicago, Dallas-Fort Worth, New Jersey, Northern California, Northern Virginia and Phoenix the United States has a strong appetite for data centers property transactions compared to other countries, according to JLL, accounting for 52% of all deals from 2018 to 2022. These markets also have a data center capacity of 1,939 megawatts under construction, JLL said. One megawatt is equal to 1,000 kilowatts.

The growth is expected to continue even heading into a potential recession, according to S&P, which has rated two of the three data center securitized bond offerings completed this year so far.

Overall supply and demand is relatively balanced as new data center development has been constrained in certain markets by site availability, lingering supply chain issues and more recently, power capacity constraints, S&P noted in its reviews. Although we expect data centers to see some growth deceleration in a recessionary environment, we believe it will be mitigated by the critical nature of data centers.

S&P added that market data suggests 2022 vacancy rates were low for key data center markets and rental rates increased year over year.

New net-lease securitized fundraisings this year have come from DataBank, Stack Infrastructure, and Vantage Data Centers.

Denver-based Vantage, a global provider of hyperscale data center campuses, saw unprecedented growth in 2022, outperforming its previous record set in 2021. The company began developing four new campuses internationally and opened 13 data centers. The company raised more than $3 billion last year to support that effort.

Last month, Vantage completed an additional securitized notes offering raising $370 million. The offering was backed by tenant lease payments on 13 completed and operating wholesale data centers located in California, Washington state and Canada.

Stack, a Denver-based developer and operator of data centers, issued $250 million in securitized notes last month.

Stacks growth is outpacing the industry with a portfolio of more than 1 gigawatt, or 1,000 megawatts, of built and under-development capacity, and more than 2 gigawatts of future development capacity planned across the globe. The company has more than 4 million square feet currently under development.

Stack most recently announced the expansion of a Northern Virginia campus to 250 megawatts, the groundbreaking for another 100 megawatt campus in Northern Virginias Prince William County and the expansion of its 200 megawatt flagship Portland, Oregon, campus.

In addition, Dallas firm CyrusOne and Seattle-based Sabey Data Centers have filed preliminary notices of offerings in the works with the Securities and Exchange Commission.

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'Gold Rush' in Artificial Intelligence Expected To Drive Data Center ... - CoStar Group

Retailers and brands are tapping new tools to build better connections with their customers and make their lives easier

Theres good old-fashioned customer service and then theres artificial intelligence chatbots that can answer customers questions, create their grocery lists, make their travel plans, and let them see how theyll look in a new outfit.

As humans appetite for AI-based tools grows, retailers and brands are using language-based tools like ChatGPT, created by OpenAI, to build better customer connections and enhance their shopping experiences.

This month, Expedia launched a new travel-planning tool integrating ChatGPT. It gives members the ability to build their perfect itinerary including where to stay, what to do and how to get around just by starting a conversation in the app. In Europe, French grocery giant Carrefour has been testing videos on its website created with ChatGPT and generative AI (the umbrella term for AI that can produce content on demand) that use human-like avatars to answer customers questions about purchasing healthier foods for less. Consumer packaged goods brands like Hellmanns are getting in on the chatbot action, too.

Todays AI technology is revolutionizing the relationship between brands and their consumers, says Kristen Denega, Canada Hellmanns market lead & North American innovations at Unilever.

During the holidays in 2022, Denega saw an opportunity to marry AI and the Hellmanns brand to help Canadians save on groceries. In exchange for inputting their fridge and pantry ingredients (including Hellmanns mayonnaise) into ChatGPT, consumers received a tasty recipe they may not have considered otherwise.

We collaborated with TikTok creators to show how they transformed their holiday leftovers into a delicious meal using ChatGPT and Hellmanns mayo, says Denega. This allowed us to connect with everyday Canadians and inspire them to save and repurpose their leftovers during one of the most wasteful times of the year.

She says Hellmanns is always looking for creative ways to communicate with consumers about food waste and how to think differently about the value of foods in their fridge. ChatGPT provided us with a culturally relevant opportunity to do just that by tapping into a moment in time when everyone was experimenting with this platform, she says.

With the evolution of AI capabilities over the last decade, analysts say were finally at a point where AI applications like ChatGPT have the potential to significantly improve retailer-shopper connections. Research shows that shoppers are becoming more receptive to this technology, too. According to a 2023 U.S. survey commissioned by software provider Redpoint Global, almost half of respondents (48 per cent) said they would interact with AI more frequently if it would make their customer experience with a brand more seamless, consistent and convenient.

Generative AI is giving us opportunities for interaction from a virtual perspective that brings in much more of an emotional connection with customers, says Krish Banerjee, Canada managing director (partner), data, analytics & applied intelligence at Accenture.

Rather than just focusing on transactions, he says retailers can start to better understand customers behaviours to personalize marketing efforts and provide useful recommendations. Understanding the language of their interactions and understanding their expectations is all part of what generative AI is providing us with which wasnt here before, he says.

In addition to powering intuitive customer service bots, Banerjee says retailers are experimenting with virtual try-ons that allow customers to see how products would look on them before they buy. We can also expect to see future AI applications around collaborative product design where retailers work with their customers from initial concept to finished item.

Going forward, Banerjee says a key part in evolving and improving AI applications will rely on giving consumers better control of the data theyre willing to share with retailers, which will allow for a more tailored use of their information. Now its based on what websites Im browsing and cookies that go away in a couple of years and the information Ive provided in social media, he says.

Accentures recently released Technology Vision 2023 report points to transparency becoming a companys most precious resource as we start a new era of business. The report notes 87 per cent of Canadian executives say data transparency is becoming a competitive differentiator for their organizations.

Marrying all that customer information now collected from various sources will be challenging for retailers, says Stewart Samuel, director of retail futures at IGD, a research organization focused on the grocery sector. Its not just a matter of turning on ChatGPT and expecting good results, he says. Theres a lot of work to be done ahead of that, including figuring out how to protect customer data and [adhere] to regulatory frameworks.

That said, Samuel believes retailers have much to gain from being early adopters of AI technologies that can enhance shopping experiences, especially because these tools can be refined and improved once implemented.

AI is an area where you can create an advantage early on and then continue to grow that advantage, he says. The sooner you get into it, the sooner you can make incremental improvements to your business, and these tools can learn and adapt from that.

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AI goes shopping: How artificial intelligence will reshape the ... - Pique Newsmagazine

A GERMAN magazines world exclusive interview with paralysed F1 legend Michael Schumacher. Fake.

A stunning photograph given first place and handed a prestigious Sony World Photography Award. Never taken.

And a banger of a new song called Heart On My Sleeve featuring Drake and The Weeknd dropped on streaming services. Never recorded.

Welcome to another crazy 24 hours in the world of artificial intelligence, where truth and disinformation collide.

Die Aktuelle, a weekly German gossip magazine, splashed a Schumacher interview across its cover when the content of it was actually created by an AI chatbot designed to respond like Schumacher might.

Berlin artist Boris Eldagsen revealed his photo submitted to a high-profile photography competition was dreamt up by artificial intelligence.

This came just after a new song purportedly by Drake was pulled from streaming services by Universal Music Group for infringing content created with generative AI.

These controversies followed on from provocative AI-generated images of Frances President Emmanuel Macron being arrested and of an incandescent Donald Trump being manhandled by American police.

All beamed around the world to a believing audience.

Thats not to mention a super-realistic shot of the Pope resplendent in a massive white puffer coat.

This one even fooled broadcaster and seasoned journalist Andrew Marr, as I found out in a recent conversation with him.

Such images are created by AI technology with the simple push of a button, with entire scenes generated from nothing.

The growing threat posed by generative artificial intelligence technologies is upon us.

Not long ago, it would have been simple to distinguish between real and fake images but it is now almost impossible to spot the difference.

The simplicity of producing these photographs, interviews, songs and soon videos means that platforms that dont put measures against them will be flooded.

These technologies and deepfakes are clear and present threats to democracy and are being seized upon by propagandist regimes to supercharge their agenda and drown out truth.

You could fake an entire political movement, for example.

This is a new war we need to fight, a war on artificial truth and the inequality of truth around the world.

It is time to restore trust. Soon, we will lose the ability to have reasonable online discourse if we cant have a shared sense of reality.

These forgeries are so sophisticated that millions of people globally could be simultaneously watching and believing a speech that Joe Biden never gave.

Nation states will have to reimagine how they govern in a world where their communication to the public will be, by default, disbelieved.

One of the biggest issues we have in social media is that content is user-uploaded and it is nearly impossible to track its origin.

Was the upload taken by an iPhone? Was it heavily Photoshopped? Was it a complete fabrication generated by AI? We dont know its veracity.

Information warfare is now a front, right alongside conventional warfare.

During the Ukraine conflict, we have been faced with a barrage of manipulated media.

There have been deepfake videos of President Zelensky where he says he is resigning and surrendering. It doesnt get more serious than that.

These are dangerous weapons which can have devastating consequences.

And unlike T-80 tanks, the weapons of this front are in everyones hands.

To counter all of this, a number of us computer scientists are creating technologies that help build trust.

Ours is FrankliApp.com, a content platform where we can definitively say that every piece of photography and video is not edited, faked or touched up in any way.

We need more of this and the right regulation to ensure it happens.

As investor Ian Hogarth told Radio 4 yesterday: Theres currently more regulation on selling a Pret sandwich than there is in building super-intelligence.

AI companies should be forced to open source their models and allow anyone to check if a piece of content was created by their service.

We also need regulations that make platforms disclose a particular photo or videos digital provenance.

There is some precedent for this as France orders disclosure of fashion photo edits. We need this in all sectors.

The conjured images of Trump, Macron and many others have now been seen and believed by millions worldwide on platforms that dont care whether what they are promoting is real or not.

Thats just plain wrong.

The world needs a solution to this tsunami of distortion.

We must shine a light on the truth, and nothing but the truth, delivering authenticity in this age of disinformation.

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This is a war and artificial intelligence is more dangerous than a T-80 tank. Unlike a tank its in e... - The US Sun

With the sudden influx of protocols based on artificial intelligence, its only natural to ask one question: which are the top AI leaders so that daring investors can profit? According to Grand View Research, the global AI market size reached a valuation of $136.55 billion in 2022. From this year till 2030, experts project that the segment will expand at a compound annual growth rate (CAGR) of 37.3%.

At the culmination of the forecasted period, the top AI companies can help sector revenue hit slightly over $1.81 trillion. Therefore, investors should at least consider positioning themselves in relevant artificial intelligence stocks. Below is an eclectic list of enterprises that can benefit from this latest innovation.

Source: Blue Andy / Shutterstock.com

A rather obvious idea for artificial intelligence stocks to buy, computer software and hardware giant Microsoft (NASDAQ:MSFT) pushed the needle forward in the AI department with its integration of popular chatbot ChatGPT into its ecosystem. In particular, Microsofts incorporation of ChatGPT into its Bing search engine should significantly help boost relevance.

On many levels, it really comes down to simple math. As you know, Bing falls well behind in terms of market share for the global search engine space. At last count, it holds less than 3% of global share, which frankly stinks. However, with ChatGPTs intuitive question-and-answer format (via normal human language), the move should accelerate Bings lowly position to somewhere significantly higher.

Financially, youre looking at a stalwart with a stable balance sheet, strong revenue and even stronger profitability. Therefore, its one of the top AI companies that should be around for a long time.Finally, analysts peg MSFT as a consensus strong buy. On average, their price target lands at $300.97, implying over 4% upside potential.

Source: shutterstock.com/local_doctor

With rival Microsoft aggressively moving into the AI space, Alphabet (NASDAQ:GOOG, NASDAQ:GOOGL) clearly has some catching up to do. Nevertheless, GOOG should rank among the top artificial intelligence stocks to buy. Sure, the current circumstances dont seem to bode well for Alphabets Google ecosystem. In my opinion, however, both Microsoft and Alphabet can easily coexist.

Having used the ChatGPT platform for some time, its incredibly useful for narrowing down research parameters. However, once youve identified a path to take, Google arguably offers a more viable solution for additional research. By offering multiple choices (when available), Google forces the human operator to consider the value of the information presented.

The issue I have with chatbots is that they attempt to do the thinking for you. But as the rise of misinformation confirms, significant demand exists for quality and accurate information. Im afraid chatbots just arent there yet.In the meantime, you can rest assured that analysts peg GOOG a unanimous strong buy. Their average price target stands at $126, implying over 18% upside potential.

Source: shutterstock.com/YAKOBCHUK V

One of the underappreciated AI firms and tech enterprises overall, IBM (NYSE:IBM) has been building for a time such as this. Admittedly, Big Blue struggled under the increasingly onerous weight of its legacy businesses in the past. However, thats exactly where it is in the past. Moving forward, IBM represents one of the more compelling artificial intelligence stocks thanks to its myriad business units.

Most prominently, IBM ranks among the AI leaders for its IBM Watson applications. Featuring attributes such as natural language understanding and speech-to-text protocols, Watson delivers intuitive solutions. As well, the technology enables IBMs enterprise-level clients to scale up appropriately based on business dynamics.

Another factor that will almost certainly help in the investment realm is the companys passive income. Currently, Big Blue carries a forward yield of 5.16%, well above the tech sectors average yield of 1.37%. Also, it commands 29 years of consecutive annual dividend increases.

Lastly, analysts peg IBM as a consensus moderate buy. Their average price target hits $146.70, implying nearly 15% upside potential.

Source: shutterstock.com/Den Rise

Typically, when you think of Toyota (NYSE:TM), youre thinking about reliable cars, not necessarily about artificial intelligence stocks to buy. However, this perception may change and quite soon. For those in the know, Toyota ranks among the top AI companies. Over the years, the automotive giant made significant investments in AI-based solutions such as machine learning.

Notably, Toyota worked with other companies to use AI and ML to predict demand for taxi service while also considering influencers such as smartphone data and weather conditions. Moving forward, Toyota can help push automated mobility and transportation through its advanced tech acumen.

As well, CNBC recently reported that the day for $25,000 electric vehicles will soon arrive. Therefore, by researching AI/ML automotive applications now, Toyota can be in a position to offer compelling products later.Within the past 90 days, no one covers TM. However, BofA Securities Kei Nihonyanagi rated shares as a buy, with a $171.57 price target implying almost 25% upside potential.

Source: shutterstock.com/Peshkova

As one of the worlds top semiconductor specialists, Nvidia (NASDAQ:NVDA) easily ranks among the top artificial intelligence stocks to buy. Enticingly, Nvidia gained fame through its class-leading graphics processing units (GPUs), which often find homes among top gamers. Now, as video games become more advanced, they incorporate AI to simulate realistic behaviors. All this requires intense processing power, which Nvidia naturally helps feed.

In addition, Nvidias AI and ML protocols may usher in true automation regarding mobility and transportation. Further, Nvidias processors should undergird other enterprises efforts at industrial automation. With the company command decades of acumen developing solutions for intensive computer applications, NVDA should benefit.

Currently, the company owns a solid balance sheet, along with blistering revenue growth and robust profitability metrics. About the only issue is that shares might be overvalued.

Nevertheless, that didnt stop Wall Street analysts from pegging NVDA as a consensus strong buy. Their average price target stands at $287.03, implying over 6% upside potential.

Source: Shutterstock

When you think about Disney (NYSE:DIS), youre either thinking about its entertainment library or its political battle with Florida Governor Ron DeSantis. However, over time, investors might regard the Magic Kingdom as one the AI leaders. Thats right in addition to ticking off certain public officials, Disney ranks among the artificial intelligence stocks to buy.

Fundamentally, AI protocols should help the House of Mouse because entertainment firms spend billions on content and events. However, humans can be fickle. An initiative no matter how bright and attractive can always fail. If and when they do, that can cause devastating losses for those funding the projects. Therefore, artificial intelligence can help cut down on those mistakes.

Here, Disney has explored Affective AI, an emerging tech which seeks to detect and analyze human emotional states. Through this platform, Disney can guide its content narratives to their most effective (i.e. profitable) outcomes.

Presently, analysts peg DIS as a consensus strong buy. Their average price target stands at $128.33, implying 28% upside potential.

Source: Shutterstock

An insurance technology specialist, Lemonade (NYSE:LMND) features plenty of potential but also plenty of risk. Nevertheless, as machines get smarter, Lemonade could easily stand among the best AI firms. Already, its one of the intriguing artificial intelligence stocks thanks to the companys data-driven approach to delivering insurance products to its customers.

Moving forward, the use of data for providing services will become a necessity. For one thing, computers can think faster than humans. Rifling through myriad datapoints and variables, Lemonade can almost instantly provide insurance programs through its app.

Second and more importantly, the rise of awareness toward social inequities undergirds the need for unbiased platforms. Theoretically, you cant get any more unbiased than a non-human protocol. Still, LMND presents risks. Since the beginning of the year, shares declined over 4%. In the trailing one-year period, theyre down almost 42%.

Plus, analysts peg LMND as a consensus hold. However, their average price target stands at $19.21, implying over 46% upside potential.

On the date of publication, Josh Enomoto did not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.

A former senior business analyst for Sony Electronics, Josh Enomoto has helped broker major contracts with Fortune Global 500 companies. Over the past several years, he has delivered unique, critical insights for the investment markets, as well as various other industries including legal, construction management, and healthcare.

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7 Companies That Could Benefit from the Rise of Artificial Intelligence - InvestorPlace

Editors note: Veteran entrepreneur and investorDonald Thompsonwrites a weekly column about management and leadership as well as diversity and other important issues for WRAL TechWire. His columns are published on Wednesdays.

Note to readers: WRAL TechWire would like to hear from you about views expressed by our contributors. Please send email to:info@wraltechwire.com.

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RESEARCH TRIANGLE PARK Depending on your imagination, there are many ways to view artificial intelligence (AI). For those of you with a sci-fi bent, maybe its a scary version of humans fighting machines, like The Terminator and The Matrix. Alternatively, AI could be seen as a tool to make life better by tapping into global collective knowledge to make advances in everything from medicine to transportation systems.

Either way, AI is not new as either a guiding principle in science fiction and fantasy or in the real world. ChatGPT might be scary to some people, but companies have utilized AI for a long time. For example, Julie Basello and Shannon Feeley explain that manufacturing businesses have used AI to optimize operations and increase efficiency and productivity that assists in the management of supply chains, risk, sales volume and quality of products.

The popularity of ChatGPT, however, has sparked new debate about AI and its role in society. Boiling all the different viewpoints down to fundamentals, what we have learned is that AI is based on lots nearly inconceivable amounts of data that has been created (mainly) by humans.

The human role in producing the collective knowledge base means that it has many of the same characteristics that people (generally) possess: both positive and negative. As Porter Braswell explains: AI is only as good as the data we feed it. The central idea contained in his quote is why many people who work in diversity, equity and inclusion (DEI) are wary of AI and the possible future it foreshadows.

The underlying challenge with AI is that it is created from data sets that demonstrate the same biases as the people who created them. Observers and analysts are concerned that a tool like ChatGPT may perpetuate or even amplify existing biases and inequalities. In other words, the information used to train the machine brain is filled with inherent ideas that are biased. The speed and replication of this thinking then becomes a kind of vicious circle that may lead to even greater discrimination.

From my perspective, the idea that we are supposed to naturally trust the AI-created output as better or scientific is compromised by the fact that people created the data. Who created it? Did these individuals consider DEI? What are the consequences of biased or discriminatory language existing within the core thinking and learning of AI systems?

AI is never infallible, because it is designed by highly fallible humans and it can only learn from existing data sets, Braswell says. It will help us create a better future one which yields more desirable and equitable data sets but only if humans are there to analyze its outputs and help shape the direction in which they guide us.

While smart executives should raise questions about how AI is created and by whom, there is also a resource allocation view. As these tools become more ubiquitous, we must ensure that they are inclusive and accessible to all people, regardless of race, gender or socioeconomic status. As leaders in DEI and broadly across organizations, we have to make them available across society so that all people benefit, not just the few.

Here are three specific, actionable steps that senior executives and managers can take now to ensure that AI systems are diversity-forward:

If you look beyond the tech and its potential for good and bad, what is revealed is that AI actually has a marketing problem. We know we need AI and we are not going to slow down its development, now that it has become the hottest business topic on the planet. Simultaneously, there are basic challenges because people create the infrastructure and people have biases.

The ironic aspect is that those of us working in DEI face a similar situation. Many executives are wondering why their teams dont perform better and are asking questions about what is holding them back. The honest answer is usually that they lack something that can be traced back to culture.

Smart leaders are asking tough questions because their people and organizations want culture change that leads to workplace excellence. We certainly dont want a situation where AI is actually undercutting critical DEI programming. It is up to executive teams to ensure that these new technologies are developed and implemented in a way that promotes DEI and benefits everyone, not stumbling into a solution that actually perpetuates the stereotypes and inequalities that so many people have dedicated themselves to eradicating.

There are so many potential benefits with AI. With those benefits comes a great deal of responsibility. It is going to take true leadership to ensure that DEI is prioritized, particularly since many people in those roles are unsure of what they should be doing to make diversity a priority on a personal or organizational level.

Every new technology has unintended consequences. Lets all work together now to ensure that bias and discrimination are not part of the AI brain we cant wait for Neo to save us!

About the Author

Donald Thompson founded The Diversity Movement to literally change the world. As CEO, he has guided its work with hundreds of clients and through hundreds of thousands of data touch points. TDMs global recognition centers on tying DEI initiatives to business objectives. Recognized by Inc., Fast Company and Forbes, he is the author of Underestimated: A CEOs Unlikely Path to Success, hosts the podcast High Octane Leadership in an Empathetic World and has published widely on leadership and the executive mindset. As a leadership and executive coach, Thompson has created a culture-centric ethos for winning in the marketplace by balancing empathy and economics. Follow him on LinkedIn for updates on news, events, and his podcast, or contact him at info@donaldthompson.com for executive coaching, speaking engagements or DEI-related content.

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Artificial intelligence & diversity, equity, inclusion: How execs can meet the challenge - WRAL TechWire

Dr. Robert Marks discusses a Stanford survey that says 36% of researchers are concerned artificial intelligence could bring 'nuclear level catastrophe' on 'Kennedy.'

According to a new report, artificial intelligence (AI), a possible recession and a return to pre-pandemic activity are driving record fraud rates across the globe.

Pindrop, a global leader in voice technology, has released its annual Voice Intelligence & Security Report following an analysis of five billion calls and 3 billion fraud catches.

During an economic downturn, fraud is typically reported as a significant crime. The report claims historical data suggests that insurance claims and fraud will skyrocket in 2023.

ROMANCE SCAMS COST AMERICANS $1B IN 2022, A NEW RECORD

Photo illustration showing ChatGPT and OpenAI research laboratory logo and inscription at a mobile phone smartphone screen with a blurry background. Open AI is an app using artificial intelligence technology. (Nicolas Economou/NurPhoto via Getty Images / Getty Images)

With the pandemic winding down and economic conditions shifting, fraudsters have shifted focus away from government payouts and back to more traditional targets, such as contact centers.

But fraudsters are using new tactics to attack their old marks, including the use of personal user data acquired from the dark web, new AI models for synthetic audio generation and more. These factors have led to a 40% increase in fraud rates against contact centers in 2022 compared to the year prior.

The report found that fraudsters leveraging fast-learning AI models to create synthetic audio and content have already led to far-reaching consequences in the world of fraud. Although deepfakes and synthetic voices have existed for nearly 30 years, bad actors have made them more persuasive by pairing the tech with smart scripts and conversational speech.

Recently, Vice News used a synthetically generated voice with tools from ElevenLabs to utter a fixed passphrase "My Voice is My Password" and was able to bypass the voice authentication system at Lloyds Bank.

UNBRIDLED AI TECH RISKS SPREAD OF DISINFORMATION, REQUIRING POLICY MAKERS STEP IN WITH RULES: EXPERTS

Scammers will often resort to "phishing," which is a nefarious information gathering technique that uses fraud and trickery to fool people into handing over contact details, financial documents and payments. (iStock / iStock)

Arizona mother Jennifer DeStefano recounted a terrifying experience when phone scammers used AI technology to make her think her teenage daughter had been kidnapped.

The call came amidst a rise in "spoofing" schemes with fraudsters claiming that they have kidnapped loved ones to receive ransom money using voice cloning technology.

But, Pindrop says these technologies are not frequently used on the average citizen or consumer but are rather implemented in spearfishing schemes to attack high-profile targets, like CEOs and other C-suite executives.

For example, a bad actor or team of fraudsters could use a CEOs voice to ask another executive to wire millions of dollars for a fake offer to buy a company.

"It's actually the voice of the CEO, even in the case of the CEO having an accent, or even in the case that the CEO doesn't have public facing audio," Pindrop Co-Founder and CEO Vijay Balasubramanian told Fox News Digital.

This voice audio is typically derived from acquiring private recordings and internal all-hands messaging.

Pindrop notes that such tech could become more pervasive and help to inhibit other established fraud techniques.

CHATGPT FACING POTENTIAL DEFAMATION LAWSUIT AFTER FALSELY LABELING AUSTRALIAN MAYOR AS BRIBERY CONVICT

Verizon Business CEO Tami Erwin shares tips for protecting against cyber threats and encourages creating a security framework.

These include large-scale vishing/smishing efforts, victim social engineering, and (Interactive Voice Response) IVR reconnaissance. These tactics have caused permanent damage to brand reputations and forced consumer abandonment, according to Pindrop, resulting in the loss of billions of dollars.

Since 2020, these data breaches have affected over 300 million victims and data compromises are at an all-time high, with more than 1,800 events reported in 2021 and 2022 individually.

Furthermore, in 2021 and 2022, the number of reported data breaches reached an all-time high, with over 1,800 incidents yearly.

"It always starts with reconnaissance," Balasubramanian said.

IVR is the system companies use to guide users through their call center. For example, press one for billing information or press two for your balance. These systems have become more conversational because of AI.

CHATGPT BEING USED TO WRITE MALWARE, RANSOMWARE: REPORTS

A person receives a potential spam phone call on their cell phone. (iStock / iStock)

"They're taking a social security number that they have and they will go to every single bank and punch in that social security number. And the response of that system is one of two things. I don't recognize what that is, or hey, welcome thank you for being a valued customer. Your account balance is x," Balasubramanian said.

After acquiring all this account information, fraudsters target the accounts with the highest balances.

They then send a message saying there is a fraud charge with a convincing message, including information mined with bots from the IVR systems. The message then asks the account holder to divulge further information, such as a credit card number or CVV, which helps the fraudster finally access the account and remove funds.

Pindrop says companies need to detect voice liveness in sync with automatic speech recognition (ASR) and audio analytics to determine the speaker's environment and contextual audio to prevent synthetic voices, pitch manipulation, and replay attacks.

To prevent scams using synthetic voices, pitch manipulation and replay attacks, Pindrop says companies must also be capable of detecting voice liveness through automatic speech recognition (ASR) and audio analytics that determine the speaker's environment and contextual audio.

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Unfortunately, research suggests that fraud rates in states that pose enhanced restrictions on the use of biometrics (such as California, Texas, Illinois, and Washington) are twice as likely to experience fraud. While these states enact such laws to protect consumer data, the legislation often makes no differentiation when it comes to company cybersecurity measures, which need voice analytics to adequately protect company and consumer data.

"If I target a consumer from those states, they most likely don't have advanced analytics performed on the voice, they are not looking for deep fakes. They are not checking if the voice is distorted," Balasubramanian said. "They aren't looking for any of that, so it's easy to steal money for those consumers."

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Artificial intelligence, possible recession driving record fraud rates ... - Fox Business

A nationwide scam involving extortion phone calls using AI-generated voices of peoples loved ones has made it to McMinnville.

Scammers are using artificial intelligence technology to send frightened, desperate messages that sound like the voice of loved ones. Last month, the Federal Trade Commission (FTC) issued a warning about the scams. It could be a child or grandchild saying they had a wreck or got arrested and need bail money. Other calls involve phony kidnappers spoofing the voices of their supposed victims. Warren County locals Olivia Hylton and her husband were targeted recently.

Last Friday, Hylton reported on social media how her husband received a terrifying call from a woman screaming about being in an accident. Suddenly a man's voice comes on the phone line saying It wasnt an accident, it was an incident. The voice on the line went on to say that he was a drug dealer and that if the husband tried to call his wife or didnt come up with $10,000 she would be dead.

Im very happy I was with my friend and my husband was able to get hold of her. Until the sheriff said it was a scam, we were scared for the girl on the phone, Olivia Hylton explained. Hylton and her husband reported the call to law enforcement and the Warren County Sheriffs Department informed them that these types of scam calls are actually very frequent.

A similar story, the case of Jennifer DeStefano, made national headlines earlier this month. DeStefano received a frightening call from what sounded like her daughter. The scammer on the line asked for a million dollars. When DeStefano explained there was no way she could raise that the amount was lowered to $50,000.

Dan Mayo, assistant special agent in charge of the Phoenix office, pointed out how scammers can sometimes get details regarding victims from public social media accounts and to keep an eye out for unfamiliar area codes or country codes. Databases of repeated previous commercial hacks are also a source of personal information which can include family members, employment and more. Many of these scammers had not only the number and name associated with it but information about family members or friends.

The FTC advises people to attempt to contact the person who supposedly contacted them to verify the story before ever sending any money. Always use a phone number you know is theirs. If you cant get in touch with them then reach out to other family members or friends. You may also prepare a code word to confirm identity in such a case.

Regardless of the nature or pretext of the scam, there are certain telltale signs that something may be awry. Scammers will almost always require payment through channels that make it difficult, or impossible, to get the money returned. Wire transfers, cryptocurrency and gift cards being required for payment may be a sign that the person requesting money is not above board.

The AI scam call is not the only one that has affected Warren County citizens recently. The McMinnville Police Department also warned locals of a series of scam calls affecting people in Warren County involving a person claiming to be with law enforcement and asking for money to take care of a warrant for failure to appear before the Grand Jury. The police department warns that they will never call and ask for money to clear up a warrant and if in doubt about such, call local law enforcement.

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Artificial intelligence scam calls received locally - Southern Standard

ChatGPT in evaluation An opportunity for greater creativity?

By Natalie Simon

As debate rages over the possibilities and risks to higher education of artificial intelligence tools such as ChatGPT, evaluators are also asking what role AI and machine learning can play in their field.

Speaking at a virtualsymposiumhosted by the Centre for Research Evaluation at the University of Mississippi in the United States on March 24, independent evaluation consultant Silva Ferretti described ChatGPT as the perfect bureaucrat: pedantic and by the book.

The symposium was titled Are We at a Fork in the Road? and explored implications and opportunities for AI in evaluation. It was hosted by Dr. Sarah Mason of the University of Mississippi and Dr. Bianca Montrosse-Moorhead of the University of Connecticut, co-editors ofNew Directions for Evaluation, a publication of the American Evaluation Association.

They said that disciplines around the world were grappling with the question of whether ChatGPT heralded a fork in the road with respect to powerful new generative AI. This potential fork emerges because generative AI is distinct from earlier AI models in that it can create entirely new content.

Read the complete report here.

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University World News: Artificial Intelligence Tools Offer ... - Ole Miss News

In November 2021, doctors at Midwest Gastrointestinal Associates in Omaha got what might be considered a new assistant.

Called GI Genius, the new computer-aided system was designed to help doctors performing colonoscopies identify in real time suspicious tissue that might be a polyp, or precancerous lesion in the colon.

The Medtronic device puts a little green box on any spot it thinks might be a polyp, using the same display screen a doctor is watching while navigating the colons twists and turns and searching for suspicious spots.

Finding and removing the lesions is important because it decreases a patients risk of developing colon cancer, said Dr. Jason Cisler, a gastroenterologist and the practices quality chairman. Studies have shown that doctors find more polyps if they have two people looking at the screen.

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After adopting the system, the groups already good adenoma detection rate the rate at which doctors find and remove polyps during screening colonoscopies went up 10% across the board, putting the practice at more than double the national standard. Every 1% increase in the detection rate, according to one study, decreases patients risk of colon cancer by 3%.

It makes it a more sensitive screening tool, Cisler said. And what were doing is screening. If were able to prevent more colon cancer, thats the rationale where were at today.

The device, approved by the Food and Drug Administration in early 2021, uses a type of artificial intelligence. And its just one of a number of technologies incorporating various forms of artificial intelligence that are already working behind the scenes in Nebraska hospitals and clinics. And with research and development underway around the world, there will be more.

Some are focused on flagging doctors about needed health screenings and identifying hospitalized patients at higher risk of being readmitted to the hospital or developing potentially life-threatening infections. Others monitor patients at risk of falling and analyze the impact of blockages in heart arteries on blood flow.

AI also is being used to take some mundane tasks off the plates of both clerical staff and health care providers, freeing them to do higher-level work.

Some Nebraska Medicine doctors are using a product called Dragon Ambient eXperience, or DAX, from a company called Nuance, to capture conversations between themselves and patients and create notes in patients charts, said Scott Raymond, the health systems chief information and innovation officer. The physician then reviews and accepts the notes. Some physicians notes now are proving accurate with no need for further human intervention between 80% and 90% of the time.

Its a great use of the technology, he said. Its taking away physician burnout, the burden of documentation ... where (they) feel theyre practicing medicine and not being documentation specialists.

Lincolns Bryan Health plans to go live with the system in early May. We think that will (be) a tremendous win for both our patients and our physicians, said Bridgett Ojeda, that systems chief information officer.

Raymond said Microsoft plans to put the artificial intelligence chatbot ChatGPT behind the next version of the program. ChatGPT, developed by OpenAI, has been making headlines around the world in recent months. Users would have to decide whether to adopt it.

Such technologies are making it a fun time to be in health care information technology, Ojeda said. Technologists have spent the last two decades getting information out of paper files and into electronic systems. Now AI and large language models like ChatGPT are allowing them to begin using that data to benefit patients.

Indeed, the authors of a 2022 report from the National Academy of Medicine on AI in health care said their hope is that AI will be the payback for investments in electronic systems.

They caution, however, that such systems could introduce bias if not carefully trained and create concerns about privacy and security.

Raymond acknowledged that standards and guardrails need to be put around the technology, particularly when it comes to the chatbots.

Ojeda noted that other challenges lie in having enough health care data and engineering experts to put the technology to work in ways that help rather than disrupt. With interest and investment in the sector high, they have to focus on selecting tools that will be sustainable and ultimately benefit patients.

But Dr. Steven Leitch, vice president of clinical informatics with CHI Health, stressed that humans, not machines, still are making the decisions.

What would make it scary is if we dont make the human in charge, he said. And thats not what health care is about. Doctors and nurses make decisions in health care. Its between people. These tools are amendments; theyre only going to be assisting where we allow them to assist.

Raymond, who previously practiced as a pediatric intensive care nurse, said Nebraska Medicine and the University of Nebraska Medical Center are forming a committee to consider how the health system will use chatbot technology in research, education and clinical care.

Its happening in medicine, he said. Its happening slowly and carefully with a lot of thought behind it. I think it will change how we deliver care and it will improve care. Our responsibility is to make sure we use the technology in the right way.

The term artificial intelligence, however, implies that machines are reasoning the way humans do, he said. Theyre not, although theyre good at gathering data, learning from it and starting to glean insights.

In actuality, Leitch said, what most people think of as artificial intelligence really is a broader category that includes a lot of different tools, including machine learning, robotic process automation and the chatbots natural language processing. Even chatbots, however, arent having independent thoughts but rather are running very complex sets of rules.

Cisler said the GI Genius system, also in place at Methodist Endoscopy Center, which is owned by Midwest and Methodist, has been trained on millions of images from colonoscopies and is constantly updated.

But the final word on whether what the system flags actually is a polyp rather than a bubble or fold in the colon lies with the doctor, he said.

Such systems, however, also can help sort patients in other ways, and in doing so, make it more likely they get the care they need.

Hastings Family Care in Hastings, Nebraska, part of Mary Lanning Healthcare, recently began using Eyenuks EyeArt technology, a special camera connected to a computer backed by machine learning that allows providers to screen patients with diabetes for diabetic retinopathy, without dilating their eyes.

Hastings Family Care in Hastings, Nebraska, a primary care clinic that's part of Mary Lanning Healthcare, is using a new device that uses a type of artificial intelligence to screen patients with diabetes for diabetic retinopathy, without dilating their eyes. It's one example of the kinds of artificial intelligence technologies that are already working behind the scenes in Nebraska hospitals and clinics.

People who have diabetes are advised to have their eyes checked once a year for the condition, which can cause vision loss and blindness. Early treatment can stop progression.

But Jessica Sutton, clinic manager, said a lot of diabetics dont get the annual exams, often due to a lack of vision insurance, transportation or time to get to an eye doctor. The clinic saw 980 patients with diabetes last year, 45% of whom had not had the exam. Funding for the equipment came through a local donor and a grant UNMC received to improve diabetic care in rural areas.

Dr. Zachary Frey, director of primary care, said he saw three such patients Wednesday morning. One didnt have insurance. The other two hadnt had an eye exam in a while. Having the device allows the clinic staff to catch such patients when theyre already in the office.

Frey said the system essentially provides three results, each of which triggers next steps. If no problem is detected, the patient is cleared until the next year. If the scan shows changes suggesting retinopathy, the patient is referred to an eye doctor for further investigation. If it detects vision-threatening retinopathy, the patient is sent to a retina specialist.

People who have diabetes are advised to have their eyes checked once a year for diabetic retinopathy, which can cause vision loss and blindness. Early treatment can stop progression. Here, Hastings Family Care is using a new device that uses a type of AI to screen patients with diabetes for the condition, without dilating their eyes.

The systems also can be used to keep patients from falling through the cracks in other ways.

Methodist, for instance, has several systems aimed at helping put additional eyes on lung scans.

One searches radiology reports from scans of, say, the abdomen, that incidentally catch part of the lung for key words like nodule. Those get sent to a team that determines whether there might be a problem, and if so, contacts the patients doctor, even those in other health systems, said Dr. Adam Wells, a pulmonologist with Methodist Physicians Clinic and Methodist Hospital.

That incidental nodule program flagged more than 13,000 scans last year, which triggered nearly 1,000 communications with a physician and ongoing follow-up with more than 700 patient scans, he said. Those identified nearly 30 cancers.

The health system also screens patients with a known risk for lung cancer using low-dose CT scans, Wells said. While radiologists read the scans, an AI program reads behind and categorizes any spots it sees. Nearly 20 cancers were identified last year out of more than 2,300 scheduled screening scans.

Cancer is a common focus. Locally, the Omaha-based MRI medical device company Bot Image, founded by entrepreneur Randall Jones, last year received FDA clearance for an AI-driven software system called ProstatID for detection and diagnosis of prostate cancer.

But there are others. Leitch said CHI uses robotic process automation, or bots, which use sets of rules to identify patients with upcoming visits and check if theyre due for a test, such as a lung cancer screening.

If so, it places a pending order in the patients electronic medical record. If the doctor and patient decide its not the right time for the test, the provider can remove it. But it takes the burden off the doctor to remember every test a patient might need, particularly on busy days with lots of distractions.

Other systems can be used to help monitor hospitalized patients. Bryan for several years has used a fall-prevention system developed by Lincoln-based Ocuvera, Ojeda said. It uses 3-D cameras and an algorithm to predict patient movement and alert nurses before a fall can occur.

Epic Systems, she said, has developed five different predictive models that monitor hospitalized patients for other risks, including sepsis and hospital readmission, and alert clinicians so they can respond quickly.

Health systems that use Epics health records, including Bryan, CHI and Nebraska Medicine, can then adopt them and build them out for their patient populations, she said.

One of the latest, which CHI has adopted and Bryan is developing, is a model that helps predict when patients will be no-shows for clinic appointments.

If providers can head off missed appointments by, say, Leitch said, providing transportation, they can keep patients healthier.

If we do what the evidence shows us, as we learn more and more, its going to make it easier for us to deliver the care the right way every time, Leitch said.

From flooding to drought to infectious diseases, the adverse health effects of climate change already are evident in Nebraska, experts say. And they warn that 'those changes will only get greater.'

Just like other Americans, Nebraskans are feeling the pinch of prescription drug cost increases.

Simulation centers and high-tech mannequins let Nebraska doctors and medical students practice procedures before they attempt them on real people.

A Omaha mom who specializes in 3D imaging arranged to get a 3D rendering of the scans of her son's brain so her husband could see where the son's tumor was situated.

Older Americans now can join, switch or drop a Medicare plan or change Medicare Part D drug coverage or Medicare Advantage plans for the coming year.

Seven Nebraska organizations formed to take better care of their patients' health and reduce costs all performed better than the U.S. average on satisfaction and quality measures.

The data reported by public health agencies in Nebraska has ebbed and flowed over the course of the COVID-19 pandemic.

Kayla Northup's family is pretty healthy, but when her kids do get sick, it's often at an inconvenient time, such as on a vacation.

Lincoln-based Bryan Health officials want to set up a center that would provide virtual nurses to help rural hospitals across Nebraska with staffing issues.

Jeremy Nordquist, president of the Nebraska Hospital Association, said hospitals still are seeing a staff vacancy rate of somewhere between 10% and 15%, with some as high as 20%.

Just before the COVID pandemic broke out, UNMC's Global Center for Health Security received a grant from the CDC to strengthen infection control training, education and tools.

The pandemic forced medical professionals, including Nebraska-based researchers and physicians, to innovate. Some innovations likely will be around for good.

Joanna Halbur of Project Harmony, a child advocacy center in Omaha, said noticeable changes in a child's behavior -- such as a normally outgoing child acting more reserved -- can be signs of anxiety or depression.

Experts say suicide rates often drop following major disasters, such as the 2019 floods in Nebraska, before experiencing an uptick.

Nebraska has reached a "cultural crisis point" in mental health availability, experts say, as long waitlists and a shortage in providers persists.

The COVID pandemic has brought extra attention to the health care world. To help readers learn about how health care is evolving, we offer Health Matters in the Heartland.

The pandemic accelerated a shift to more outpatient or same-day surgeries and sped the expansion of telehealth, among other changes, Nebraska health care leaders say.

You know losing that extra weight would be good for your health. Your health care team talked with you about how obesity increases your risk of other health issues, such as heart disease, diabetes, high blood pressure and certain types of cancer.

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Artificial intelligence makes its way into Nebraska hospitals and clinics - Omaha World-Herald

It used to cost an arm and a leg not to mention the hassle of moving furniture in and out of homes all the time to stage a house being prepared for sale.

These days, Alec Miles pays about $40 a picture and the staging is done virtually, showing buyers what a living room or den could look like without all the actual heavy lifting.

"I pay a professional photographer to take the pictures and then outsource the digital staging to another company," said Miles, a salesperson with EXP Realty in London, Ont.

"Actual staging is so expensive that it's almost cost prohibitive, whereas the turnaround for virtual staging is 12 hours and I know it'll look great."

That's just one typeof artificial intelligence (AI) that is changing how real estate is done in London and beyond.

Osman Omar has been a Realtor in the city for five years. ChatGPT, an AIchatbot developed by OpenAIthat was released in November, has started helping him come up with ideas about how to describe listings and acts as a "sounding board" for ideas.

"It helps put together a skeleton of information," Omar said. "If a client wants a write-up that is more professional, or something more upbeat and funny, I can ask it to do that and I get ideas. From a social media perspective, you can take your public remarks [from a listing]and then help condense that for different social media platforms."

Realtors wear a lot of hats, so taking work off their plates so they can focus on marketing a property can bebeneficial, Omar said.

"If you're savvy, it can really help give the property the exposure it deserves. AI can help you with [search engine optimization], social it's a good sounding board."

Some buyers looking for homes have alsobeen using AI, Miles said.

"You can ask OpenAI or ChatGPT about the best neighbourhoods in London, or the worst neighbourhoods, or neighbourhoods close to schools or parks. It gives you a starting point."

"The more in-depth understanding of the real estate marketthat comes from someone like me," said Miles. "I'm the one who will tell you if that house caught fire because of a meth lab that's not going to come up on ChatGPT."

Some Realtors use AI to write listings for them, though that takes away from the personal touch, Miles said.

"It's not personal if you have an AI doing that," he said. "But asking for the Top 10 or Top 5 neighbourhoods in London is a great learning tool for someone who is a new agent or anyone trying to provide extra value in the industry."

But AI won't replace actual human beings in the industry anytime soon, Omar said.

"Talking to an agent that knows what is happening in the market is the best way to get the best sale."

The next evolution will be virtual reality tours of properties, Omar added.

"I think we'll get to a place where people will view homes virtually. You put on your VR headset, get a feel for the place before driving down to see it. Nothing replaces in person, but it would be a preliminary screening."

In the United States, appraisers use AI to value properties based on data and images. Mortgage lenders can make decisions based on an AI-generated calculation of risk, and developers can select construction sites based on platforms that specialize in zoning regulations.

AI-powered platforms can generate property recommendations tailored to a homebuyer's desires, and botswill alert you if the house of your dreams comes up for sale.

CBC News asked ChatGPT about the most affordable neighbourhoods in London. It listed White Oaks, Argyle, East London, Pond Mills and Southcrest.

We also asked ChatGPTabout the best neighbourhoods for families in the city. Here's what the bot came up with:

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How artificial intelligence is changing the real estate game - CBC.ca