Work of female filmmakers, primarily women of color, to be featured in Unorthodocs festival – The Columbus Dispatch

Peter Tonguette| Special to The Columbus Dispatch

Filmmakers Melissa Gira Grant and Ingrid Raphael knew there was a story behind the wave of killings of young people, most of them Black, by police officers in Columbus.

I would be at the protests, and the families would be telling their stories, but when you would read and try to find more information, the media outlets that were covering the stories would only be giving the stories from the perspective of the police reports, said Raphael, a 28-year-old artist then living in Columbus.

Then Raphael, now living in Philadelphia, was introduced to Grant, a 43-year-old journalist based in Brooklyn, New York, who had been traveling to Columbus to write about police violence in the city.

I had started covering the story of Donna Dalton, who was shot and killed by (former police officer) Andrew Mitchell and then some months later, he was charged with murder in her death, said Grant, a staff writer at The New Republic magazine.

More: Columbus intends to pay family of Donna Castleberry $1 million in wrongful death case

That story really stuck out, because, at that time, before Mitchell was indicted, no Columbus police officer for the entire tenure of former prosecutor Ron OBrien had been charged with murder, Grant said.

More: Everyday Heroes: Adrienne Hood turns pain into purpose as a social justice leader

The two colleagues joined forces to co-direct a new 20-minute documentary being shown at Mershon Auditorium on the campus of Ohio State University at 7 p.m. Oct. 22. They Wont Call It Murder examines the topic through the perspective of surviving female family members of victims of police shootings namely, Adrienne Hood, the mother of Henry Green; Bobbi McCalla, the older sister of Dalton; Malika King and Derrea King, the mother and grandmother of Tyre King; and Jamita Malone and Maryam Malone, the mother and younger sister of Julius Tate Jr.

More: 5 juveniles have been fatally shot by police in Columbus since 2016. Here's a look at their cases

More: Opinion: "We cannot achieve social justice without environmental and climate justice."

The screening to be followed by a discussion with guests Grant, Raphael, Hood, Derrea and Malika King, and Jamita Malone is part of the Unorthodocs documentary film festival presented by the Wexner Center for the Arts (where the other screenings will take place).

(The film) really spends time with especially the women in the families of victims of police shootings mothers, grandmothers, sisters and how they build communities of support and try to figure out how to get justice, said Chris Stults, Wexner Center associate curator of film/video.

The goal is to give voice to figures whose perspectives might be omitted from official accounts of their loved ones deaths.

We knew that we had the ability, because of the relationships and the trust that we had, to tell the story in a really different way and in a way that gave these women and their families the power back, Grant said.

The film began production in December 2019 and wrapped toward the end of February 2020, but Grant and Raphael revisited the project following the death of George Floydin May 2020 while in police custody in Minneapolis.

We had yet again another unfortunate event in American history where a Black man was killed by police and we had these national uprisings, said Raphael, who decided that Columbus protests needed to be documented, too.

They Wont Call It Murder is the centerpiece of the fifth installment of Unorthodocs, which was originally intended to have a larger scope.

The pandemic curtailed those comeback plans just a bit: Instead of taking place over as many as five days, as in years past, the in-person component of this years festival is set for two days, Oct. 22 and 23.

But, as if by design, this leaner version of the festival has a focus it might not have otherwise had.

I didnt even realize this until after we finished the lineup, but at least in terms of the feature (documentaries), theyre all made by women and primarily women of color which wasnt intentional at all, but just seems like the most exciting work that we had planned to show, Stults said.

And, while last years Unorthodocs festival was entirely virtual, this years in-person screenings boast five programs that will make full use of the big screen; just one film, the documentary Prism, featuring contributions by three separate filmmakers, will be shown online this year (starting Oct. 24 and continuing through Oct. 30 on http://www.wexarts.org).

They are just overwhelming cinematic experiences that really needed to be seen on a screen, Stults said of the films selected to be screened in-person.

The festival opens at 4:30 p.m. Oct. 22 with Unorthodocs Shorts, a 75-minute program of short documentaries. Two filmmakers featured in the lineup Rasel Ahmed and Lydia Cornett will speak afterward.

After the screening of, and discussion related to, They Wont Call It Murder later that evening, the festival will resume on Oct. 23.

At 2 p.m. Oct. 23, Jessica Beshirs Faya Dayi will be screened. The documentary offers a look at the Ethiopian crop khat, which, when chewed, can lead to a feeling of euphoria.

Its the most lucrative crop in Ethiopia, Stults said. The film enters an appropriately meditative dream state. Its not one of those issue films, where you learn facts and figures like you would in a magazine article.

Also on Oct. 23, showing at 4:30 p.m. is Rosine Mbakams Delphines Prayers, which draws on the filmmakers interviews with a woman who had been a sex worker in Cameroon before relocating to Belgium; and at 7 p.m., Natalia Almadas Users, which utilizes sweeping cinematography to capture the role of technology in the natural world.

Despite being shorter than usual, the festival promises a thorough look at some of the most exciting voices in documentary filmmaking.

You can see a lot of the most striking documentaries all in one sitting, Stults said.

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The Wexner Center for the Arts Unorthodocs documentary film festival will feature in-person screenings Oct. 22-23 at the arts center, 1871 N. High St.

They Wont Call It Murder will be shown at no charge at 7 p.m. Oct. 22 inMershon Auditorium. A discussion with the filmmakers and those featured in the documentary will follow.

Other in-person screenings cost $9, or $7 for Wexner Center members, $5 for students.

Visit http://www.wexarts.org for more information.

Masks are required.

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Work of female filmmakers, primarily women of color, to be featured in Unorthodocs festival - The Columbus Dispatch

How To Create A Pathway For Diversity In Medtech – Med Device Online

By Kenita Barrow, Otsuka America Pharmaceutical, Inc.

When different perspectives, experiences, and backgrounds come together, it sparks innovation that can drive significant technological advancement. The most diverse companies are now more likely to outperform their less diverse peers.1Beyond company performance, ensuring adequate representation throughout the product development pipeline leads to better-tailored treatment outcomes and care for patients in underserved and underrepresented communities. The criticality of improving treatment outcomes for these populations has led to a need to bring together relevant stakeholders (e.g., payors, academia, government, healthcare professionals, patient advocacy groups, and patients) using platforms such as the MedTech Color Collaborative to develop best practices, education, and awareness aimed at increasing diversity and inclusion within product development and clinical research. This will proactively further advancements for racial and ethnic minority populations and address health inequities.

One of the main areas where change is greatly needed is the recruitment and retention of diverse individuals within medtech organizations. Diverse individuals are often not provided exposure or information about the various roles that exist in medtech during their collegiate experiences. Colleges and universities have made great strides in creating programs focused on advancing individuals of color in the life sciences.

I myself benefited from such a program as a member of one of the cohorts of the Meyerhoff Scholarship Program. The program, founded by the Robert and Jane Meyerhoff Foundation, focuses on increasing diversity in the science, technology, engineering, and mathematics (STEM) disciplines. A key component of the program that prepares students to pursue advanced degrees and obtain successful careers in STEM involves participation throughout their academic tenure in internships and externships. There remain opportunities for medtech companies to address recruitment by creating impactful collaborative experiences with academic institutions, further exposing the offerings of the industry to undergraduate students participating in these programs.

The creation of programs such as the one described above that partner with the medtech industry would allow students to gain exposure to premarket development plans, including principal investigator interactions and early-stage advisory boards, and post-market strategies such as the development of marketing materials and engagement with key opinion leaders.

Participation in these activities allows diverse students to gain an understanding of the impact their voice and perspective can have when they are in the room. Providing emerging graduates with this experience increases the likelihood that these students will pursue careers in medtech. Additionally, even for those who may not choose to have a career in medtech directly, it highlights the areas and spaces where they can engage with the industry as an external party and still make a difference. As an added step, organizations can further demonstrate their commitment to diversity by providing career opportunities for individuals in these programs who excel in the work performed during their internships and externships.

Such collaboration can continue beyond the undergraduate space. An example currently underway at Otsuka involves the Legal Affairs team. Our legal group is facilitating a diversity accelerator secondee program for firm counsel. The program began through negotiations with three outside counsel firms to bring secondees in-house at Otsuka for a period of up to six months. The secondees have the opportunity to work in several different legal practice groups, network with attorneys throughout the organization, and interact directly with business teams and executive leaders. Upon their return to their firms, the secondees are given significant career advancement opportunities such as origination credit or participation in mentorship and leadership programs. The secondee program brings additional perspectives to legal decision-making across the organization and demonstrates Otsukas commitment to diversity, equity, and inclusion both internally and externally.

I have seen first-hand how having diverse perspectives in the room positively impacts all stages of the processes involved in the product development life cycle.

For example, it is essential to understand that African Americans are generally represented as a subset of Blacks when presenting statistics related to race and ethnicity. The definition of Blacks can have a global connotation encompassing, but not limited to, individuals such as South Americans, West Indians, Latin Americans, and Africans. However, the definition of African Americans is often defined as Americans with African ancestry. Definitions for these groups are often misunderstood or misrepresented, yet these definitions are vital when examining how a product will or will not impact a sub-population. Highlighting this distinction is crucial for representing the facts from a scientific perspective and demonstrating that an organization accurately understands the communities of the patients it serves.

Another example that often arises in the product development life cycle involves access-related issues. Considerations such as the location of clinical trials, provisions for trial participants to travel, and how best to advertise for study recruitment all need to be determined as part of the strategy for product development. When diverse voices are missing from the strategic planning table, the industry can overlook critical conversations examining the impact these determinations can have and, as a result, representation from underserved and underrepresented communities can be lacking.

Other issues around access revolve around what is needed to utilize a product successfully. An increasingly relevant example presents itself with the evolution of product development involving software applications. One simple question that should be asked is whether all participants will have access to smartphones or any other technology, if required, to utilize the software application as intended. Such components are often taken for granted but can become a barrier to product use, further demonstrating health inequities for underrepresented populations.

Recognizing these critical nuances and taking steps to increase diversity at all levels of medtech organizations will help tremendously in bridging the gaps and lack of trust that we see between industry and underserved communities.

Medtech companies must also participate in activities that reflect the diverse communities of both their employees and the patients they serve. Companies can achieve this by being intentional in their external activities.

Prioritizing participation in patient advocacy or other volunteer opportunities that include organizations representing underserved and underrepresented communities is essential. Ensuring these communities are represented when providing sponsorships and donations is equally important. Taking these additional steps will further highlight the renewed commitment that the medtech industry has to diversity, forging a defined pathway toward increased inclusion.

About The Author:

Kenita Barrow is executive director, deputy general counsel for Otsuka America Pharmaceutical, Inc. Outside of her legal role, Kenita donates time to STEM programs for young women and to initiatives working to increase diversity in all areas of clinical research. She is a member of the executive planning committee for the MedTech Color Collaborative and also serves as a member and past chair of the Montgomery County Ethics Commission in Maryland. Kenita has a J.D. from Vanderbilt University and a B.S. in biomedical ethics (biology/sociology/philosophy) from the University of Maryland Baltimore County. Kenita has also completed graduate work in the Pharmacology and Interdisciplinary Program in Neuroscience at Georgetown University.

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How To Create A Pathway For Diversity In Medtech - Med Device Online

Why one third of new hires are women at this 120-year-old construction firm – Construction Dive

Construction has a long way to go to move the needle on diversity and inclusion in its ranks. While the industrys numbers, compared to the nations overall workforce, skew heavily white and male, companies are making efforts to change that.

Currently, over 1,100 firms are taking part in Construction Inclusion Week, which kicked off October 18. The initiative, founded by six major construction firms, looks at leadership accountability, unconscious bias, supplier diversity, jobsite culture and community engagement in the industry.

CIW, which is modeled on the industrys highly successful Safety Week, is aimed at bringing diversity, equity and inclusion to the forefront of constructions workforce. In addition, the initiative is designed to make diversity and inclusion a focus in construction 365 days a year, CEOs of the founding companies told Construction Dive.

One firm thats been doing that is Burns & McDonnell, an employee-owned, full-service construction and engineering firm based in Kansas City, Missouri, with a legacy in construction dating back to 1898.Here, Construction Dive talks with Leon Harden, Burns & McDonnells diversity and inclusion strategy manager,about what the company is doing to change the face of its workforce.

Leon Harden

Courtesy of Burns & McDonnell

CONSTRUCTION DIVE: What inclusion and diversity goals have you had on projects?

Leon Harden: Across all our projects, we work proactively to team with small and large businesses owned by women, veterans and minorities to help prepare us to meet and exceed our clients expectations and strengthening the communities where we work. One recent project example is Burns & McDonnell World Headquarters Expansion, which we designed and built ourselves.

In 2020, we completed the final phase of the Burns & McDonnell expansion, a new 142,000-square-foot building on our campus in Kansas City, Missouri. Since breaking ground in 2018, crews worked more than 134,000 hours on the project without any safety incidents.

Nearly 30 minority and women-owned businesses worked on the campus expansion, surpassing the goals of having 24% of the team providing construction services minority and women-owned businesses.

What are the results of working toward those D&I goals as a company?

In the last 5 years, more than $2.4 billion or 27% of Burns & McDonnell invoiced expenditures was paid to small and diverse businesses.

Our business diversity efforts seek to address any inequities in access to opportunities by establishing business relationships with all communities. In 2004, Burns & McDonnell began an intentional focus on supplier inclusion. Since then, we have been recognized with more than 56 industry-related awards for our demonstrated commitment to the utilization and growth of diverse projects for corporate operations. As a federal contractor, we are audited by the federal government and the most recent audit of our Small & Diverse Business program was rated Highly Successful.

We also seek to create alliances with organizations and businesses in our community. To help address racial inequities, Burns & McDonnell deposited $1 million in Douglass National Bank a Black-owned bank. We are active in, and in many cases board members of, more than 16 organizations that promote diverse business inclusion. We have hosted 17 Community of Inclusion events to recognize the mutually beneficial alliances experienced by our diverse partners and our employee-owners.

We have awarded minority business owners with scholarships to attend the Executive Education Program at Dartmouth College. We also organized the nations first corporate collaboration with Dartmouths Tuck School of Business and hosted programs at our firm. Each session was attended by more than 30 diverse business owners.

How do you recruit diverse workers?

Harden: For more than a decade, Burns & McDonnell has had a targeted diversity recruitment strategy, focusing on intentionally reaching and hiring diverse candidates. Our female hires have grown from 25% of total hires to 31% during that time, and our minority hires have increased from 14% to 25%. We are incredibly proud of this progress, but we know there's work still to be done.

Our growth across regional markets exploded during that same timeframe, allowing us to tap into new talent pools.

We participated in more than 75 diversity job boards, attended over 120 diversity recruitment events each year, leveraged partnerships with professional organizations like the Society of Women Engineers, Society of Hispanic Professional Engineers, National Society of Engineers and more to cast a wider talent net, and started earning recognition as a best workplace to strengthen our employment brand and earn a reputation as an employer of choice.

We also welcome opportunity to work alongside students attending historically black universities or diverse institutions. We have worked with Tennessee State University, Alabama A&M University, Clark Atlanta University, Lincoln University and Donnelly College, among others, where we have provided support with project submittals, sponsored a conference on women's issues and assisted in relaunching a pre-engineering program.

By working with universities and campus organizations, we've seen a deliberate increase in our female and minority new grad hiring. In the past five years, we saw a 3% increase in minorities and a 6% increase in females.

Why did you do this?

Creating an equitable and inclusive workplace for all is our top priority. Our goal is to be the best place to work for all people, and we work hard to achieve that. We recognize that we have room for growth in this area, and every day we strive to push ourselves toward becoming an even better company. A company with an inclusive culture, where everyone feels valued, respected and engaged, where our collective diversity is a catalyst for innovation and our varied perspectives lead to better solutions for our clients, our communities and our people.

What advice would you give to other contractors who want to improve diversity and inclusion in their workforce?

Our firm has been in business for more than 120 years. A key driver of our success has been diversity diverse business lines, diverse workforce, diverse partnerships. Weve seen firsthand how diversity leads to better, more creative solutions for our clients. Here are some of the steps we take to maintain this level of diversity:

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Why one third of new hires are women at this 120-year-old construction firm - Construction Dive

Sculpting Wellness and Well-Being for the Community – Patch.com

Hamilton, New JerseyGrounds For Sculpture is following a path of health and wellness that is both unique and beneficial for residents of the mid New Jersey region. As part of an extended initiative to make Grounds For Sculpture more accessible and inviting to a wider array of visitors, guests, and museum members, the sculpture park is working hand-in-hand with local leaders and artists to further develop its wellness programming, and is doing so through a thoughtful process incorporating ideas from the public and from groups who may have been excluded in the past.

Grounds For Sculpture welcomes, surprises, and engages visitors in its 42-acre sculpture park, museum, and arboretum founded on the site of the former New Jersey State Fairgrounds. Opened to the public in 1992, it is one of the premier cultural destinations in New Jersey, and has embraced and enchanted over three million visitors. Traditionally, tourists travel from places like New York City, Washington D.C. and Philadelphia to see and experience the immense collection of larger-than-life outdoor sculptures and indoor beguiling art installations and exhibits. However, after a deep review of who is benefitting from the museum's offerings, the administration and the board felt they could do more to reach out and work with residents throughout New Jersey.

During a recent strategic planning process, the organization developed a long-term vision that set its aspirations "to be a leader, magnet and vibrant forum that invites a diverse public to create, learn, and discover personal meaning in their interactions with art, nature and one another." Their new strategic plan identifies impact, relevance, and capacity as their key strategic priorities.

Over the summer, part of this vision was actualized when Gary Schneider, Grounds For Sculpture's Executive Director announced his hiring committee's choice to invite Kathleen Ogilvie Greene to become the organization's first Chief Audience Officer. As an experienced executive with a demonstrated history of creating sustainable institutional impact through program creation, community engagement, and audience development, Kathleen was the perfect match for the work ahead. She will play a critical role in prioritizing equity, diversity and inclusion (EDI), and wellness, initiatives across Grounds For Sculpture and the broader arts community.

Kathleen describes herself as an advocate for cultural workers and living artists and is skilled in inclusive programming, intentional partnerships, and nonprofit management. She arrived at Grounds For Sculpture from The Barnes Foundation in Philadelphia where Kathleen excelled as a team and systems builder, created and managed a wide range of programs in response to the collection while established fruitful and long-standing partnerships within the greater region of southeast Pennsylvania.

The function of museums is evolving, with many now playing a significant role in the well-being of their community. Grounds For Sculpture engages the premise that the arts, resonating deeply with the human experience, are saturated with the potential to promote healing and wellness, not only in hospitals and other healthcare facilities, but also within the fabric of the region. Wellness-focused programming began at Grounds For Sculpture nearly ten years ago and the museum recognizes that the two elements, art and nature, united on its premises are healing. The sculpture park is in an ideal position to become a cornerstone for wellness in the community. While Grounds For Sculpture has made strides in achieving this goal, the staff and board members alike are in agreement that there is still much work to be done.

Late this summer, during a sunny Saturday afternoon, a convening of invited stakeholders, medical professionals, leaders, artists, staff members, and volunteers, congregated under an outdoor tent to brainstorm wellness programs, each participant sharing ideas from their own perspective and areas of interest. Kathleen stated, "The hope was to end the day with ideas that considered audience, partners, and purpose. We were fortunate to have the Michael Graves Architecture & Design firm lead the process and the group created an amazing range of possibilities! The convening has the potential to expand and deepen our participation in, and creation, of wellness programs throughout the region. It also provides the opportunity to expand our audiences across ability, zip code, economic and racial classification. Broadening our audience, and ensuring our work are beneficial to them is center to this work, as we want to increase our benefit to the community. One of the many goals to deepen our relationship and accountability to the convening attendees. They made an investment in us, by sharing their expertise, and we need to ensure that gift grows. So, another beneficial outcome is this suite of stakeholders who are already looking to us asking 'what are you going to do now?' Moving forward, the goal is to shift all these wonderful possibilities into actionable next steps, ensuring our strategic plan stays central in our decision making."

The recent wellness convening at Grounds For Sculpture generated ideas which ranged in scope from developing an accessible greenhouse to be utilized by communities who have mobility and/or visual impairments as well as the broader community, to providing opportunities for visitors and local residents to enter the grounds for free and participate in Tai Chi, meditation, and/or "Wellness Walks" while enjoying soothing live music provided by local musicians.

Focusing on community engagement and the expansion of wellness initiatives was on the docket for Grounds For Sculpture well before the COVID-19 pandemic hit, the experience of enduring and then surviving a lockdown further solidified the need to initiate activities, events and programming that pushed the envelope on what is typically offered by similar cultural destinations. According to the United Nations' Educational, Scientific, and Cultural Organization (UNESCO), "Museums preserve heritage for future generations, promote lifelong learning, provide equal access to culture and spread the values on which humanity is based." Their purpose in terms of inclusion is also critical to help bridge communities and cultures, and museums play a significant role in both the creative and tourism industries. The entire cultural sector was severely affected by the pandemic, and is still experiencing losses, with museums hit particularly hard." On UNESCO's website, it is reported that "90 percent of museums had been closed for an average of 155 days, and since the beginning of 2021, many have had to shut their doors again, due to surging infection rates. This has resulted in a 70 percent drop in attendance on average, and a 40 to 60 percent decline in revenue compared to 2019."

Rising from the COVID pandemic lockdown ashes, Grounds For Sculpture survived being closed for several months and is continuing the process of looking into diversified revenue models as the typical membership and visitor ticket sales paradigm was severely challenged in 2020. In a recent survey of 1,004 museums, "15 percent of museum directors said that there was a 'significant risk' of closing permanently in the next six months or that they were unsure whether they would survive through that period." Fortunately, Grounds For Sculpture's outdoor oasis has visitors, volunteers and staff bouncing backslowly and steadily with increasing attendance. Their goal of intentionally activating the outdoor space to support mental and physical well-being will help the guests to stay connected with each other and with the healing energy of art within nature.

Lucky for all of us living in the mid New Jersey area, residing within easy driving distance of Grounds For Sculpture, we can continue to cherish our hometown cultural jewel and support future programming. To sign up for and receive the organization's newsletter and get up-to-date announcements on events, exhibits, wellness programs, and educational offerings, go to: Grounds For Sculpture Newsletter Link Sign Up. To see a calendar of events, including wellness activities, go to: Grounds For Sculpture Calendar.

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Sculpting Wellness and Well-Being for the Community - Patch.com

CSRWire – Fifth Third Neighborhood Investment Program to Support Transformation of the Near East Side of Columbus – CSRwire.com

Published 12 hours ago

Submitted by Fifth Third Bancorp

COLUMBUS, October 19, 2021/CSRwire/- Fifth Third and Enterprise Community Partners today announced the establishment of a neighborhood program to support and continue revitalization efforts on the Near East Side of Columbus. The Neighborhood Investment Program will focus over three years on the PACT geography and cross-sector collaborations. PACT, which stands for Partners Achieving Community Transformation, is a partnership initiated in 2010 by the City of Columbus, The Ohio State University, the Columbus Metropolitan Housing Authority (CMHA) and Near East Side stakeholders. The Near East Side PACT Neighborhood, which is bounded by Woodland Ave to the east; Broad St to the South; I-71 to the west; and I-670 to the north, was one of the locations selected.

Fifth Third is eager to continue our existing collaboration with one of the citys most historic neighborhoods, the Near East Side, and to invest in a unique way by taking a thoughtfully structured approach to solve real-world systemic issues, said Regional Fifth Third Bank president, Francie Henry. We have partnered with this neighborhood since 2015 and during the past six years, have made investments in several efforts including the United Way of Central Ohio Neighborhood Leadership Academy, Columbus Urban League, Minority Business Assistance Center, and PACT Exterior Home Repair Program. Now, we are excited to continue our efforts in an even bigger and magnified way. PACTs mission is Honoring our Heritage and Building our Future and we are pleased to continue long-term support.

Fifth Third is collaborating on the initiative with Enterprise Community Partners, a national nonprofit that exists to make a good home possible for the millions of families without one. Together, they managed a criteria-based, invitation-only application process to select nine majority Black neighborhoods that have seen a sustained period of disinvestment. The Near East Side PACT Neighborhood was one of the locations selected. Enterprise will provide technical assistance to support each neighborhood in developing and implementing a plan tailored to the unique challenges it faces. Enterprise will then assist with assessing the plans effectiveness at improving the economic well-being of residents and small locally owned businesses. Successful outcomes will include investments in small businesses, homeownership and workforce development to create successful outcomes such as increased employment, economic stability and growth.

The Fifth Third Neighborhood Investment Program shows what is possible when we make intentional investments that center on Black life and legacy," said Priscilla Almodovar, president and chief executive officer of Enterprise Community Partners. "Enterprise is so excited to join Fifth Third and this group of committed neighborhood partners on an initiative that powerfully aligns with our goals as an organization: increase the housing supply, advance racial equity and build resilience and upward mobility."

This investment represents our commitment to holistic community development, said Fifth Third Central Ohio Community & Economic Development Manager, Sheldon K. Johnson. Through the Neighborhood Investment Program we are focused on contributing to sustainable solutions that address racial disparities in health and wealth. By collaborating with PACT and Enterprise and other community stakeholders we can build upon the foundation of work thats already been done and have some transformative impact in this historic community.

Fifth Third intends to commit up to $20 million in lending, investments and philanthropic support, including grants from the Fifth Third Foundation to the Near East Side PACT Neighborhood. A combination of capital, products and services will be invested into small businesses, mortgages, philanthropic efforts, and neighborhood revitalization loans and investments.

The Near East Side PACT Neighborhood was invited to apply for the program based on its ability to meet specific criteria, including collaborating with the neighborhoods Black residents, existing civic infrastructure in the neighborhood and its capability to manage equitable investment and wealth-building opportunities. The programs funds will cultivate investments and resources from additional stakeholders to support the economic mobility of low- to moderate-income residents in the identified neighborhoods.

Elizabeth Seely, founding board member and current chair of the PACT Board of Directors, said PACT will use the funds to further advance initiatives from PACTs Blueprint for Community Investment including safe and affordable housing, health, education, and employment opportunities. Potential investments in the program include funding the development of new black-owned businesses, supporting public art creation, providing down payment support for residents middle-income and ladder-up housing opportunities to build generational wealth, expanding access to health services, and creating financial education, literacy, and savings programs for the areas young peoples future dreams. Infusing good development practices and principles interwoven with community engagement, culture, and legacy has been our vision and our dream. The expertise and investment of Fifth Third combined with the knowledge base of Enterprise make this an exceptionally critical moment for our community. And were ready- were just poised to leverage it, said Seely.

The Neighborhood Investment Program is part of Fifth Thirds $2.8 billion commitment that will provide $2.2 billion in lending, $500 million in investments, $60 million in financial accessibility and $40 million in philanthropy from the Fifth Third Foundation as part of Fifth Thirds Accelerating Racial Equality, Equity and Inclusion initiative. The commitment is focused on four strategic pillars that directly impact customers and communities with targeted outcomes enabling the Bank to track progress and measure success in the areas of strategic investments, access to capital, financial inclusion and education, and social justice and advocacy. This program also aligns with Enterprises new strategic plan and three central goals: to increase housing supply, advance racial equity and build resilience and upward mobility.

The additional recipient neighborhoods and lead organizations that will be driving the communitys efforts as part of the neighborhood program are:

To learn more about the Neighborhood Investment Program, please visit 53NeighborhoodInvest.org.

About Enterprise Community Partners

Enterprise is a national nonprofit that exists to make a good home possible for the millions of families without one. We support community development organizations on the ground, aggregate and invest capital for impact, advance housing policy at every level of government, and build and manage communities ourselves. Since 1982, we have invested $44 billion and created 781,000 homes across all 50 states all to make home and community places of pride, power and belonging. Join us at EnterpriseCommunity.org.

About Fifth Third

Fifth Third Bancorp is a diversified financial services company headquartered in Cincinnati, Ohio, and the indirect parent company of Fifth Third Bank, National Association, a federally chartered institution. As of June 30, 2021, the Company had $205 billion in assets and operates 1,096 full-service Banking Centers, and 2,369 Fifth Third branded ATMs in Ohio, Kentucky, Indiana, Michigan, Illinois, Florida, Tennessee, West Virginia, Georgia, North Carolina and South Carolina. In total, Fifth Third provides its customers with access to approximately 53,000 fee-free ATMs across the United States. Fifth Third operates four main businesses: Commercial Banking, Branch Banking, Consumer Lending, and Wealth & Asset Management. Fifth Third is among the largest money managers in the Midwest and, as of June 30, 2021, had $483 billion in assets under care, of which it managed $61 billion for individuals, corporations and not-for-profit organizations through its Trust and Registered Investment Advisory businesses. Investor information and press releases can be viewed at http://www.53.com. Fifth Thirds common stock is traded on the NASDAQ Global Select Market under the symbol FITB.

About the Fifth Third FoundationEstablished in 1948, the Fifth Third Foundation was one of the first charitable foundations created by a financial institution. The Fifth Third Foundation supports worthy causes in the areas of health and human services, education, community development and the arts in the states where Fifth Third Bank operates.

CONTACTS

Elizabeth BoyukRegional Marketing Manager (Media Relations)Elizabeth.Boyuk@53.com | 614-586-6223

Gayle Saundersgayle@thesaunderscompany.com

Jordan Miller (Media Relations, Enterprise Community Partners)JMiller@GroupGordon.com | 212-784-5703

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CSRWire - Fifth Third Neighborhood Investment Program to Support Transformation of the Near East Side of Columbus - CSRwire.com

UC adopts recommendations for the responsible use of Artificial Intelligence – Preuss School Ucsd

Camille Nebeker, Ed.D., associate professor with appointments in the UC San Diego Herbert Wertheim School of Public Health and Human Longevity Science and the Design Lab

The University of California Presidential Working Group on Artificial Intelligence was launched in 2020 by University of California President Michael V. Drake and former UC President Janet Napolitano to assist UC in determining a set of responsible principles to guide procurement, development, implementation, and monitoring of artificial intelligence (AI) in UC operations.

To support these goals, the working group developed a set of UC Responsible AI Principles and explored four high-risk application areas: health, human resources, policing, and student experience. The working group has published a final report that explores current and future applications of AI in these areas and provides recommendations for how to operationalize the UC Responsible AI Principles. The report concludes with overarching recommendations to help guide UCs strategy for determining whether and how to responsibly implement AI in its operations.

Camille Nebeker, Ed.D., associate professor with appointments in the UC San Diego Herbert Wertheim School of Public Health and Human Longevity Science and the Design Lab, was a member of the working groups health subcommittee.

The use of artificial intelligence within the UC campuses cuts across human resources, procurement, policing, student experience and healthcare. We, as an organization, did not have guiding principles to support responsible decision-making around AI, said Nebeker, who co-founded and directs the Research Center for Optimal Digital Ethics Health at UC San Diego, a multidisciplinary group that conducts research and provides education to support ethical digital health study practices.

The UC Presidential Working Group on AI has met over the past year to develop principles to advance responsible practices specific to the selection, implementation and management of AI systems.

With universities increasingly turning to AI-enabled tools to support greater efficiency and effectiveness, UC is setting an important precedent as one of the first universities, and the largest public university system, to develop governance processes for the responsible use of AI. More info is available on the UC Newsroom.

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Artificial intelligence in healthcare? ‘Don’t focus solely on technology’ – Innovation Origins

Tech expert Jarno Duursma sees both advantages and disadvantages when it comes to using AI in healthcare. First the advantages: Scientists at Life Lines, a large-scale study into the onset of chronic diseases among 165 thousand people in the northern Netherlands, make use of artificially intelligent software. Duursma: This research has been going on since 2006. A huge database is being compiled from all those studies and questionnaires. With the help of AI, doctors are able to identify connections that they would otherwise never have spotted, like improving the diagnosis of depression or the prediction of cancer.

Or what about research into medicines? At Leiden University in the Netherlands, researchers are working on a model that is based on 3.8 million measurements that have been published on drug candidates since the 1970s. This acts as a kind of library that helps scientists search in the right direction. The system also predicts interactions between a chemical and a protein based on 5.5 billion data points. Using the softwares predictions, a chemist can get to work testing whether the potential drug will work in actual practice. In this regard, the use of artificial intelligence saves a lot of time and money. These are very fine applications that allow you to develop a drug that works faster or to use an existing drug for other diseases. These are great developments that get me fired up, Duursma adds.

Something else that gets Duursma enthused: Avatars in healthcare. For example, in the form of a digital doctor who conducts a simple intake or summarizes complicated and lengthy pieces of text in a short video for patients. By letting artificial intelligence carry out an intake, a doctor has more time to spare. You can also use this digital doctor to explain patient leaflets using a video, which sometimes works better than long texts.

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Despite his enthusiasm, Duursma also warns against using AI in healthcare. Our healthcare is becoming more and more expensive and is putting more pressure on society. We need to do something about this, but we shouldnt be focusing solely on technology. We still need to keep a critical eye on the dangers of AI.

In his view, we tend to overestimate the merits of software. To illustrate this point, he points to an algorithm that predicts whether a mole is malignant or not. The software was perfectly capable of picking out bad birthmarks, but what transpired when the scientists started probing into how it did that? The system did not reach its conclusions by looking at the moles themselves, but saw the ruler that dermatologists use to track the growth of suspicious moles as an important signal. This shows that an algorithm trained with different pictures of birthmarks comes up with an assessment based on something completely different than what you might expect.

Duursma sees the same thing in a host of initiatives that were designed to detect Covid-19 on lung photos with the use of AI. These lung photos are all different qualities and there are a lot of nuances in them. So, in any event, the data is very messy. A specific AI system once again drew a conclusion on the basis of something weird. The algorithm based its diagnosis on a font on the x-ray images of certain hospitals where there were a lot of corona patients. This black box is one danger that AI poses that we need to be aware of.

According to Duursma, another disadvantage of using artificial intelligence is that we want to capture all problems as data. By this datafication of the problem, you might be needlessly diminishing the problem. This creates a techno-solutionism, whereby you only focus on where data can be collected. Whereas when you zoom out, not everything can be captured as data. These problems are then excluded from it.

Nor should we be blind, Duursma believes, to any unintended long-term consequences that technology or artificial intelligence may cause. As an example, he cites the selfie cameras in iPhones: The selfie camera has contributed to making the individual even more of a focal point. Young people now visit a plastic surgeon with their favorite Snapchat filter: This is how I want to look. Thats an unintended consequence of this technology, but no Apple developer had ever considered that before.

Duursma goes on to say that we need to pay more attention to the talents and qualities that we lose along the way as a result of technology, especially in healthcare. I used to be very good at remembering phone numbers. Now my phone does that for me. The same goes for navigating or doing math in your head. These are skills that we are losing through the use of technology. Especially in healthcare, it is important that we treat this very carefully. Look at this from the perspective of a moral compass. Imagine that we will soon have an infallible algorithm for checking moles. Are radiologists then allowed to unlearn this skill? Or do we teach students not to look at photos because the software does that? I dont have answers to these questions, but we should continue to critically examine this aspect.

Tech philosopher at Fontys University of Applied Sciences, Rens van der Vorst, also offers much the same critical examples when talking about AI in healthcare. Generally speaking, you see that the diagnostic results of algorithms are quite disappointing. Following the outbreak of corona, all sorts of claims were made. For example, about an algorithm that could predict whether someone had corona based on the sound of someones cough. All those initiatives turned out not to be so successful after all. We tend to overestimate the impact of technology in the short term but underestimate it in the long term. Maybe the same kind of thing is happening with AI.

Van der Vorst sees mainly advantages to the use of AI in logistics operations in hospitals. Technology often serves as an amplifier. So if you start using AI to help a supermarket operate more efficiently, a supermarket will operate more efficiently. The same is true for a hospital. Weve seen that software is not yet good enough at making diagnoses, but artificial intelligence is capable of planning more efficiently. AI can also play a role in preventive care right now. With measurements taken in the home and advice on healthy living, to name a few things.

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Global Artificial Intelligence Market Is Expected To Set A New Benchmark With A CAGR Of 40.2% By 2028 | Up Market Research – PRNewswire

PUNE, India, Oct. 19, 2021 /PRNewswire/ -- According to a recent market study published by Up Market Research titled, "Global Artificial Intelligence Marketby Technology (Machine Learning, Deep Learning, Machine Vision, Natural Language Processing), by Solution (Services, Hardware, Software), by End Use (BFSI, Automotive & Transportation, Advertising & Media, Agriculture, Manufacturing, Retail, Healthcare, Law) and Region: Size, Share, Trends and Opportunity Analysis, 2018-2028", As per the study the market value was USD 62.35 million in 2020. It is expected to grow at a compound annual rate (CAGR) of 40.2% between 2021 and 2028. Tech giants have been directing continuous research and innovation to drive the adoption of new technologies across a variety of industries, including automotive, healthcare, finance, and manufacturing. Technology has been an integral part of these industries for centuries, but Artificial Intelligence has put technology at the heart of many organizations. AI is now being integrated into almost every program and apparatus, from autonomous vehicles to life-saving medical equipment. AI has been proven to be the key element of the digital revolution.

The report covers comprehensive data on emerging trends, market drivers, growth opportunities, and restraints that can change the market dynamics of the industry. It provides an in-depth analysis of the market segments which include products, applications, and competitor analysis.

Key Market Players Profiled in the Report

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This report also includes a complete analysis of industry players that cover their latest developments, product portfolio, pricing, mergers, acquisitions, and collaborations. Moreover, it provides crucial strategies that are helping them to expand their market share.

Highlights on the segments of the Artificial Intelligence Market

Based on Solution, the market is divided into Hardware, Software, and Services. Software solutions dominated the artificial intelligence market, accounting for over 38.0% of global revenue in 2020. This is due to prudent improvements in information storage capacity and high computing power. Parallel processing capabilities are used to deliver high-end AI software for dynamic end-use verticals. Services in artificial intelligence include integration, maintenance, and support. This segment is expected to grow at an impressive rate during the forecast period. AI hardware comprises chipsets like Graphics Processing Unit (GPU), CPU and application-specific integrated circuits.

On the basis of Technology,the market is divided intoDeep Learning, Machine Learning, Natural Language Processing, and Machine Vision. Deep learning dominated the market, accounting for 38.0% of global revenue in 2020. Its complex data-driven applications such as speech recognition and text/content are responsible for the market's high share. This technology allows for the resolution of data volume challenges and offers attractive investment opportunities. Deep learning and machine learning are important investments in AI. This includes AI platforms as well as cognitive applications. These include tagging and clustering, categorization and hypothesis generation. Alerting, filtering and navigation are all part of the AI platform. They allow for the creation of intelligent, advisory and cognitively-enabled solutions.

Based on End Use, the market is divided into Healthcare, BFSI, Law, Retail, Advertising & Media, Automotive & Transportation, Agriculture, Manufacturing, and Others. Advertising and media dominated the market, accounting for over 18.0% of global revenue in 2020. The growing popularity of AI marketing applications is responsible for this high share. The healthcare sector will continue to hold a significant share of the market by 2028. BFSI includes financial analysis, risk assessment and investment/portfolio solicitations. Due to the high demand in this sector for compliance and risk applications, artificial intelligence has seen a significant increase in the BFSI. Retail, law, transportation, agriculture and other verticals are also possible for artificial intelligence systems. Conversational AI platforms are the most popular in each vertical.

On the basis of Regions,the market is categorized as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. North America was the dominant market, accounting for more than 40.0% of global revenue in 2020. This is due to government initiatives that encourage adoption of AI across different industries. As the United States' strategy to promote leadership in artificial intelligence, the American AI Initiative was launched by President Donald J. Trump in February 2019. Also, In the coming years, significant growth is expected in Asia Pacific. The significant increase in investments in artificial intelligence is responsible for this growth.

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Artificial Intelligence to Boost the Global Wound Care Market by 2026 with Minimal Intervention Solutions – inForney.com

The global wound care solutions market is estimated to garner $30.5 billion in revenue by 2026 at a compound annual growth rate of 6.7%, finds Frost & Sullivan

SAN ANTONIO, Oct. 18, 2021 /CNW/ --Frost & Sullivan's recent analysis, Global Wound Care Solutions and New-age Technology Growth Opportunities, finds that participants in the wound care industry are investing heavily in technologies and solutions that require minimal/no medical intervention and can be used by patients, family and care providers. Primarily contributed by basic and advanced wound care solutions product types, the global wound care solutions market is estimated to garner $30.5 billion in revenue by 2026 from $20 billion in 2020, an uptick at a compound annual growth rate (CAGR) of 6.7%.

With technological advancements and a diverse array of traditional and advanced wound care solutions comprising apps, software, services, devices, and wearables, North America will dominate the wound care market by 2026. Also, the European wound care market will witness stable growth as the market becomes saturated due to technological advancements. Asia-Pacific will see a maximum growth rate as countries across the region adopt wound care solutions rapidly. Similarly, a surge in demand for faster wound recovery and advanced wound dressings in the Middle East and Latin America, respectively, will drive the wound care solutions market in the rest of the world over the forecast period.

For further information on this analysis, please visit: https://frost.ly/6eh

"The requirement for faster, less-invasive wound healing is boosting the demand for advanced wound care solutions," said Suchismita Das, Healthcare & Life Sciences Research Analyst at Frost & Sullivan. "Additionally, the resumption of elective surgeries that were placed on hold during the pandemic will further boost the post-pandemic demand for surgical wound care solutions."

Das added: "As end-users increasingly prefer 'at-home' solutions, simple and effective wound monitoring devices and solutions that require less intervention from clinicians are gaining traction. Further, the artificial intelligence (AI)-enabled solutions, sensor-based devices/wearables, and wound assessment devices aid care providers with clinical decision support (CDS) for faster diagnosis of complex wounds, leading to effective care pathways."

Government and corporate funding for developing next-gen wound care solutions that primarily enable early wound detection and prevention is set to increase, presenting the following growth opportunities for market participants:

Global Wound Care Solutions and New-age Technology Growth Opportunitiesis the latest addition to Frost & Sullivan's Healthcare & Life Sciences research and analyses available through the Frost & Sullivan Leadership Council, which helps organizations identify a continuous flow of growth opportunities to succeed in an unpredictable future.

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How Will Health Care Regulators Address Artificial Intelligence? – The Regulatory Review

Policymakers around the world are developing guidelines for use of artificial intelligence in health care.

Baymax, the robotic health aide and unlikely hero from the movie Big Hero 6, is an adorable cartoon character, an outlandish vision of a high-tech future. But underlying Baymaxs character is the very realistic concept of an artificial intelligence (AI) system that can be applied to health care.

As AI technology advances, how will regulators encourage innovation while protecting patient safety?

AI does not have a precise definition, but the term generally describes machines that have the capacity to process and respond to stimulation in a manner similar to human thought processes. Many industriessuch as the military, academia, and health carerely on AI today.

For decades, health care professionals have used AI to increase efficiency and enhance the quality of patient care. For example, radiologists employ AI to identify signs of certain diseases in medical imaging. Tech companies are also partnering with health care providers to develop AI-based predictive models to increase the accuracy of diagnoses. A recent study applied AI to predict COVID-19 based on self-reported symptoms.

In the wake of the COVID-19 pandemic and the rise of telemedicine, experts predict that AI technology will continue to be used to prevent and treat illness and will become more prevalent in the health care industry.

The use of AI in health care may improve patient care, but it also raises issues of data privacy and health equity. Although the health care sector is heavily regulated, no regulations target the use of AI in health care settings. Several countries and organizations, including the United States, have proposed regulations addressing the use of AI in health care, but no regulations have been adopted.

Even beyond the context of health care, policymakers have only begun to develop rules for the use of AI. Some existing data privacy laws and industry-specific regulations do apply to the use of AI, but no country has enacted AI-specific regulations. In January 2021, the European Union released its proposal for the first regulatory framework for the use of AI. The proposal establishes a procedure for new AI products entering the market and imposes heightened standards for applications of AI that are considered high risk.

The EUs suggested framework provides some examples of high-risk applications of AI that are related to health care such as the use of AI to triage emergency aid. Although the EUs proposal does not focus on the health care industry in particular, experts predict that the EU regulations will serve as a framework for future, more specific guidelines.

The EUs proposal strikes a balance between ensuring the safety and security of the AI market, while also continuing to promote innovation and investment in AI. These conflicting values also appear in U.S. proposals to address AI in health care. Both the U.S. Food and Drug Administration (FDA) and the U.S. Department of Health and Human Services (HHS) more broadly have begun to develop guidelines on the use of AI in the health industry.

In 2019, FDA published a discussion paper outlining a proposed regulatory framework for modifications to AI-based software as a medical device (SaMD). FDA defines AI-based SaMD as software intended to treat, diagnose, cure, mitigate, or prevent disease. In the agencys discussion paper, FDA asserts its commitment to ensure that AI-based SaMD will deliver safe and effective software functionality that improves the quality of care that patients receive. FDA outlines the regulatory approval cycle for AI-based SaMD, which requires a holistic evaluation of the product and the maker of the product.

Earlier this year, FDA released an action plan for the regulation of AI-based SaMD that reaffirmed its commitment to encourage the development of AI best practices. HHS has also announced its strategy for the regulation of AI applied in health care settings. As with FDA and the EU, HHS balances the health and well-being of patients with the continued innovation of AI technology.

The United States is not alone in its attempt to monitor and govern the use of AI in health care. Countries such as China, Japan, and South Korea have also released guidelines and proposals seeking to ensure patient safety. In June 2021, the World Health Organization (WHO) issued a report on the use of AI in health care and offered six guiding principles for AI regulation: protecting autonomy; promoting safety; ensuring transparency; fostering responsibility; ensuring equity; and promoting sustainable AI.

Scholars are also discussing the use of AI in health care. Some experts have urged policymakers to develop AI systems designed to advance health equity. Others warn that algorithmic bias and unequal data collection in AI can exacerbate existing health inequalities. Experts argue that, to mitigate the risk of discriminatory AI practices, policymakers should consider the unintended consequences of the use of AI.

For example, AI systems must be trained to recognize patterns in data, and the training data may reflect historical discrimination. One study showed that women are less likely to receive certain treatments than men even though they are more likely to need them. Similarly biased data would train an AI system to perpetuate this pattern of discrimination. Health care regulators must address the need to protect patients from potential inequalities without discouraging the development of life-saving innovation in AI.

As the use of AI becomes more prominent in health care, regulators in the United States and elsewhere find themselves considering more robust regulations to ensure quality of care.

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Artificial Intelligence Technology Solutions, Inc. Reports Revenue Increases of Over 400% Over Same Period Prior Year as Shown in 2nd Quarter SEC…

HENDERSON, Nev., October 19, 2021--(BUSINESS WIRE)--Artificial Intelligence Technology Solutions, Inc., (OTCPK:AITX), a global leader in AI-driven security and productivity solutions for enterprise clients, filed its quarterly report on Form 10-Q with the Securities and Exchange Commission for the period ended August 31, 2021. AITX is a full SEC reporting company that files detailed annual and quarterly reports as prepared by a PCAOB registered firm and reviewed by an independent auditor.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20211019005507/en/

A sampling of the many AITX, its subsidiaries RAD, RAD-G and RAD-M, developments in the 2nd quarter of FY 2022. Included are two new apps, RAD Light My Way and RAD AR (Augmented Reality), plus the announcement of the RAD 3.0 product line. (Graphic: Business Wire)

"The first half of our fiscal year saw continued progress, development, plus exponential sales growth," said Steve Reinharz, President and CEO of AITX. "Both subscription revenues and sales revenues saw dramatic increases year over year."

Key Takeaways from the 10-Q Filing

AITX Financials

The Company completed actions to eliminate almost all of its dilutive financial instruments as follows: 1. Substantially all of the convertible debt has been paid or converted; 2. The number of Series F convertible preferred Shares were reduced; 3. An agreement was reached amongst all Series F shareholders not to convert their shares prior to August 2023, unless there is an uplisting of the Companys stock or an asset sale.

Unless subsequent events reinstate a dilutive financial instrument, none of which are under consideration, the number of outstanding shares of the company will only grow as a result of actions related to the effective and current S-3.

Device parts inventory (on hand) as of August 31, 2021 at $488K, up from $25K as of August 31, 2020, an increase of 1,852%. This increase supports both organic growth, inventory for fast delivery, and support for an expanding sales pipeline.

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Research and Development spending fiscal YTD August 31, 2021 at $1,334K, up from the previous FY period of $190K, a 602% increase. The increase supports investments in new project development, increased engineering, programming resources, and other R&D initiatives.

Robotic Assistance Devices (RAD) Sales Growth

The Company reports that for the quarter ended August 31, 2021, AITXs second quarter of fiscal year 2022, device subscription revenues, referred to as Recurring Monthly Revenue (RMR), increased 69% over the same period of the prior year. Six month total revenues, including all sales and subscriptions, increased 404% over the prior fiscal years period.

Sales Funnel Development

The Company reports that its sales funnel continues its solid growth as its sales team continues to produce significant activity and results. RAD President and COO, Mark Folmer commented, "We expect to close the month of October with an additional RMR of nearly $14,000. This will bring RADs total RMR to just over $80,000. Were expected to cross the $1 million annualized RMR run rate in the current fiscal quarter, ending November 30."

New Products Announced RAD 3.0

On Wednesday, October 13, 2021, the Company announced its new lineup of RAD 3.0 devices. RAD 3.0 marks a complete design and re-engineering of nearly all RAD solutions. "The entire RAD team worked feverishly hard throughout Q2 so that we could preview all of the improvements in design and performance that we showcased earlier this week," Reinharz added. "The response to our RAD 3.0 announcements has been overwhelmingly positive. Im sure that we have a hit on our hands and we cannot wait for our customers to see these in person," Reinharz commented.

The AITX Investors Open House and RAD 3.0 Reveal video is available for viewing at https://tinyurl.com/hkp5ds

"Fiscal year 2022 continues to confirm RADs inevitable progress," Reinharz added. "These second quarter results reveal our constant grind, whether its inventing new products, penetrating new markets, or solidifying our financial position. There is so much more on the immediate horizon that we expect to conquer, making FY 2022 an incredibly big year for us in sales, team, tech and industry stature," Reinharz concluded.

The Company recommends that interested parties examine the published 10-Q to review all details, and reminds readers that this release is limited to the applicable highlights of the quarter.

Follow Steve Reinharz on Twitter @SteveReinharz for future AITX and RAD updates.

AITX through its subsidiary, Robotic Assistance Devices, Inc. (RAD), is redefining the $25 billion (US) security and guarding services industry through its broad lineup of innovative, AI-driven Solutions-as-a-Service business model. RAD solutions are specifically designed to provide a cost savings to businesses of between 35%-80% when compared to the industrys existing and costly manned security guarding and monitoring model. RAD delivers this tremendous costs savings via a suite of stationary and mobile robotic solutions that complement, and at times, directly replace the need for human personnel in environments better suited for machines. All RAD technologies, AI-based analytics and software platforms are developed in-house.

CAUTIONARY DISCLOSURE ABOUT FORWARD-LOOKING STATEMENTS

This release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E the Securities Exchange Act of 1934, as amended and such forward-looking statements are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Statements in this news release other than statements of historical fact are "forward-looking statements" that are based on current expectations and assumptions. Forward-looking statements involve risks and uncertainties that could cause actual results to differ materially from those expressed or implied by the statements, including, but not limited to, the following: the ability of Artificial Intelligence Technology Solutions to provide for its obligations, to provide working capital needs from operating revenues, to obtain additional financing needed for any future acquisitions, to meet competitive challenges and technological changes, to meet business and financial goals including projections and forecasts, and other risks. Artificial Intelligence Technology Solutions undertakes no duty to update any forward-looking statement(s) and/or to confirm the statement(s) to actual results or changes in Artificial Intelligence Technology Solutions expectations.

About Artificial Intelligence Technology Solutions (AITX)

AITX is an innovator in the delivery of artificial intelligence-based solutions that empower organizations to gain new insight, solve complex challenges and fuel new business ideas. Through its next-generation robotic product offerings, AITXs RAD and RAD-M companies help organizations streamline operations, increase ROI and strengthen business. AITX technology improves the simplicity and economics of patrolling and guard services, and allows experienced personnel to focus on more strategic tasks. Customers augment the capabilities of existing staffs and gain higher levels of situational awareness, all at drastically reduced cost. AITX solutions are well suited for use in multiple industries such as enterprises, government, transportation, critical infrastructure, education and healthcare. To learn more, visit http://www.aitx.ai and http://www.roboticassistancedevices.com, or follow Steve Reinharz on Twitter @SteveReinharz.

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Potential of Artificial Intelligence Replacing Animal Testing in the Future – Analytics Insight

Animal testing is considered to be one of the worst cruelties towards any animal in this world over 100 million animals such as mice, frogs, dogs, rabbits, monkeys, cats, and many others are killed in animal experimentation. Meanwhile, cutting-edge technologies like artificial intelligence, machine learning, etc. are helping in boosting productivity while reducing workloads from human employees efficiently through AI models. Thus, artificial intelligence holds the potential to replace animal testing in the future. Artificial intelligence replacing animal testing can be a new approach to save these animals from undergoing lab experiments that hurt and kill them. Lets explore how AI models can save these animals from going through harmful animal testing.

Animal testing has saved millions of human lives at a cost of the precious lives of animals for a long time. It has helped the world with unbelievable medical innovations like vaccines, antibiotics, and many more drugs. But, this is not fair to these animals who sacrifice their lives for these experiments days after days for multiple years. This has been observed that some animal testing is not reliable enough to predict the behavior of drugs in human bodies. There is a huge wastage of time, money, animal lives, and many more. Thus, AI models are suitable and favorable for those experiments. Artificial intelligence and machine learning are known for generating reliable outcomes efficiently and effectively throughout the year if the training data is accurate.

AI models can save the lives of millions of animals with computer vision and accurate datasets. This is one of the true alternatives to animal models that holds huge potential to generate reliable and safe outcomes for drug discoveries. The emergence of quantum computing is creating a massive way with breakthroughs and experiments. Thus, there is no need for utilizing different animals for not-so-reliable animal testing.

In 2016, Thomas Hartung led some researchers from Johns Hopkins University to successfully develop an artificial intelligence algorithm that can determine substance toxicity after comparing it to similar databases and predictions from previously conducted animal testing. This software project showed this group of researchers that testing on animals showed inconsistencies and different animals can show different results to the same experiment. There is a concern that laboratories cannot use animals for these experiments but all kinds of testing are not possible to be completed by computers.

Start-ups like Verisim Life have started utilizing the power of artificial intelligence and machine learning in biosimulation to replace animal testing in the nearby future. It is a San Francisco biotechnology start-up focused on building digital animal simulations to reduce animal testing for drug discoveries. When animal testing is slow and unreliable, this AI model can eradicate the cruelty as well as boost the process of drug discovery to supply at a faster rate.

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WVU Researchers Using Artificial Intelligence To Help Diagnose Those With Autism – West Virginia Public Broadcasting

West Virginia University researchers are using artificial intelligence and other advanced technologies to help diagnose people with autism.

The program is aimed at more easily identifying phenotypes related to Autism Spectrum Disorder. These phenotypes are noticeable traits or characteristics a person with ASD might have.

Autism phenotyping is something we are still in the dark ages with. We have no clue how many different types of autism we are dealing with, said WVU professor Xin Li, one of the projects head researchers.

Technology like neural imaging and behavior imaging, along with eye-tracking data will help identify these specific traits. Li says he hopes this data will find different types of ASD and help reduce the gap between a childs birth and their diagnosis. The average age of a child newly diagnosed with ASD is 4 years old -- Li says part of the goal of this research is to reduce that age in half, aiming for diagnoses at 2 years old. The earlier the diagnosis, Li says, the more effective the treatment.

Li says this research is important because of how little is known about ASD compared to other disorders. The better the technology available to diagnose those with ASD, the better phenotypes can be successfully grouped into ASD subtypes.

If we think about something were familiar with for example, a butterfly a butterfly can have different wings, have different patterns, colors Those are the easy traits for laymen to tell a different species from one butterfly to another one, Li said.

Recent data from the Centers for Disease Control and Prevention says 1 in 54 children in the U.S. are diagnosed with ASD.

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Putting artificial intelligence at the heart of health care with help from MIT – MIT News

Artificial intelligence is transforming industries around the world and health care is no exception. A recent Mayo Clinic study found that AI-enhanced electrocardiograms (ECGs) have the potential to save lives by speeding diagnosis and treatment in patients with heart failure who are seen in the emergency room.

The lead author of the study is Demilade Demi Adedinsewo, a noninvasive cardiologist at the Mayo Clinic who is actively integrating the latest AI advancements into cardiac care and drawing largely on her learning experience with MIT Professional Education.

Identifying AI opportunities in health care

A dedicated practitioner, Adedinsewo is a Mayo Clinic Florida Women's Health Scholar and director of research for the Cardiovascular Disease Fellowship program. Her clinical research interests include cardiovascular disease prevention, women's heart health, cardiovascular health disparities, and the use of digital tools in cardiovascular disease management.

Adedinsewos interest in AI emerged toward the end of her cardiology fellowship, when she began learning about its potential to transform the field of health care. I started to wonder how we could leverage AI tools in my field to enhance health equity and alleviate cardiovascular care disparities, she says.

During her fellowship at the Mayo Clinic, Adedinsewo began looking at how AI could be used with ECGs to improve clinical care. To determine the effectiveness of the approach, the team retroactively used deep learning to analyze ECG results from patients with shortness of breath. They then compared the results with the current standard of care a blood test analysis to determine if the AI enhancement improved the diagnosis of cardiomyopathy, a condition where the heart is unable to adequately pump blood to the rest of the body. While she understood the clinical implications of the research, she found the AI components challenging.

Even though I have a medical degree and a masters degree in public health, those credentials arent really sufficient to work in this space, Adedinsewo says. I began looking for an opportunity to learn more about AI so that I could speak the language, bridge the gap, and bring those game-changing tools to my field.

Bridging the gap at MIT

Adedinsewos desire to bring together advanced data science and clinical care led her to MIT Professional Education, where she recently completed the Professional Certificate Program in Machine Learning & AI. To date, she has completed nine courses, including AI Strategies and Roadmap.

All of the courses were great, Adedinsewo says. I especially appreciated how the faculty, like professors Regina Barzilay, Tommi Jaakkola, and Stefanie Jegelka, provided practical examples from health care and nonhealth care fields to illustrate what we were learning.

Adedinsewos goals align closely with those of Barzilay, the AI lead for the MIT Jameel Clinic for Machine Learning in Health. There are so many areas of health care that canbenefit from AI, Barzilay says. Its exciting to see practitioners like Demijoin the conversation and help identify new ideas for high-impact AIsolutions.

Adedinsewo also valued the opportunity to work and learn within the greater MIT community alongside accomplished peers from around the world, explaining that she learned different things from each person. It was great to get different perspectives from course participants who deploy AI in other industries, she says.

Putting knowledge into action

Armed with her updated AI toolkit, Adedinsewo was able to make meaningful contributions to Mayo Clinics research. The team successfully completed and published their ECG project in August 2020, with promising results. In analyzing the ECGs of about 1,600 patients, the AI-enhanced method was both faster and more effective outperforming the standard blood tests with a performance measure (AUC) of 0.89 versus 0.80. This improvement could enhance health outcomes by improving diagnostic accuracy and increasing the speed with which patients receive appropriate care.

But the benefits of Adedinsewos MIT experience go beyond a single project. Adedinsewo says that the tools and strategies she acquired have helped her communicate the complexities of her work more effectively, extending its reach and impact. I feel more equipped to explain the research and AI strategies in general to my clinical colleagues. Now, people reach out to me to ask, I want to work on this project. Can I use AI to answer this question? she said.

Looking to the AI-powered future

Whats next for Adedinsewos research? Taking AI mainstream within the field of cardiology. While AI tools are not currently widely used in evaluating Mayo Clinic patients, she believes they hold the potential to have a significant positive impact on clinical care.

These tools are still in the research phase, Adedinsewo says. But Im hoping that within the next several months or years we can start to do more implementation research to see how well they improve care and outcomes for cardiac patients over time.

Bhaskar Pant, executive director of MIT Professional Education, says We at MIT Professional Education feel particularly gratified that we are able to provide practitioner-oriented insights and tools in machine learning and AI from expert MIT faculty to frontline health researchers such as Dr. Demi Adedinsewo, who are working on ways to enhance markedly clinical care and health outcomes in cardiac and other patient populations. This is also very much in keeping with MITs mission of 'working with others for the betterment of humankind!'

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Putting artificial intelligence at the heart of health care with help from MIT - MIT News

Beethoven’s Unfinished 10th Symphony Brought to Life by Artificial Intelligence – Scientific American

Teresa Carey: This is Scientific Americans 60-Second Science. I'm Teresa Carey.

Every morning at five oclock, composer Walter Werzowa would sit down at his computer to anticipate a particular daily e-mail. It came from six time zones away, where a team had been working all night (or day, rather) to draft Beethovens unfinished 10th Symphonyalmost two centuries after his death.

The e-mail contained hundreds of variations, and Werzowa listened to them all.

Werzowa: So by nine, 10 oclock in the morning, its likeIm already in heaven.

Carey: Werzowa was listening for the perfect tunea sound that was unmistakably Beethoven.

But the phrases he was listening to werent composed by Beethoven. They were created by artificial intelligencea computer simulation of Beethovens creative process.

Werzowa: There werehundreds of options, and some are better than others. But then there is that one which grabs you, and that was just a beautiful process.

Carey: Ludwig van Beethoven was one of the most renowned composers in Western music history. When he died in 1827, he left behind musical sketches and notes that hinted at a masterpiece. There was barely enough to make out a phrase, let alone a whole symphony. But that didnt stop people from trying.

In 1988 musicologist Barry Cooper attempted. But he didnt get beyond the first movement. Beethovens handwritten notes on the second and third movements are meagernot enough to compose a symphony.

Werzowa: A movement of a symphony can have up to 40,000 notes. And some of his themes were three bars, like 20 notes. Its very little information.

Carey: Werzowa and a group of music experts and computer scientists teamed up to use machine learning to create the symphony. AhmedElgammal, the director of the Art and Artificial Intelligence Laboratory at Rutgers University, led the AI side of the team.

Elgammal: When you listen to music read by AIto continue a theme of music, usually its a very short few seconds, and then they start diverging and becoming boring and not interesting. They cannot really take that and compose a full movement of a symphony.

Carey: The teams first task was to teach the AI to think like Beethoven. To do that, they gave it Beethovens complete works, his sketchesand notes. They taught it Beethoven's processlike how he went from those iconic four notes to his entire Fifth Symphony.

[CLIP: Notes from Symphony no. 5]

Carey: Then they taught it to harmonize with a melody, compose a bridge between two sectionsand assign instrumentation. With all that knowledge, the AI came as close to thinking like Beethoven as possible. But it still wasnt enough.

Elgammal: The way music generation using AI works is very similar to the way, when you write an e-mail, you find that the e-mail thread predicts whats the next word for you or what the rest of the sentence is for you.

Carey: Butlet the computer predict your words long enough, and eventually, the text will sound like gibberish.

Elgammal: It doesnt really generate something that can continue for a long time and be consistent. So that was the main challenge in dealing with this project: How can you take a motif or a short phrase of music that Beethoven wrote in his sketchand continue it into a segment of music?

Carey: Thats where Werzowas daily e-mails came in. On those early mornings, he was selecting what he thought was Beethovens best. And, piece by piece, the team built a symphony.

Matthew Guzdial researches creativity and machine learning at the University of Alberta. He didnt work on the Beethoven project, but he says that AI is overhyped.

Guzdial: Modern AI, modern machine learning, is all about just taking small local patterns and replicating them. And its up to a human to then take what the AI outputs and find the genius. The genius wasnt there. The genius wasnt in the AI. The genius was in the human who was doing the selection.

Carey: Elgammal wants to make the AI tool available to help other artists overcome writers block or boost their performance. But both Elgammal and Werzowa say that the AI shouldnt replace the role of an artist. Insteadit should enhance their work and process.

Werzowa: Like every tool, you can use a knife to kill somebody or to save somebodys life, like with a scalpel in a surgery. So it can go any way. If you look at the kids, like kids are born creative.Its like everything is about being creative, creative and having fun. And somehow were losing this. I think if we could sit back on a Saturday afternoon in our kitchen, and because maybe were a little bit scared to make mistakes, ask the AI to help us to write us a sonata, song or whateverin teamwork, life will be so much more beautiful.

Carey: The team released the 10th Symphony over the weekend. When asked who gets credit for writing it Beethoven, the AIor the team behind itWerzowa insists it is a collaborative effort. But, suspending disbelief for a moment, it isnt hard to imagine that were listening to Beethoven once again.

Werzowa: I dare to say that nobody knows Beethovenas well as the AI, didas well as the algorithm. I think music, when you hear it, when you feel it, when you close your eyes, it does something to your body. Close your eyes, sit back and be open for it, and I would love to hear what you felt after.

Carey: Thanks for listening. For Scientific Americans60-Second Science, Im Teresa Carey.

[The above text is a transcript of this podcast.]

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Beethoven's Unfinished 10th Symphony Brought to Life by Artificial Intelligence - Scientific American

Understanding the UK Artificial Intelligence commercialisation – GOV.UK

The government is undertaking research to explore how AI R&D is successfully commercialised and brought to market.

The Department for Digital, Culture, Media and Sport (DCMS), along with the Office for Artificial Intelligence and Digital Standards and Internet Governance (DSIG), are leading the research project.

Research consultants Oxford Insights and Cambridge Econometrics have been commissioned with exploring the ways technology transfer happens for AI, and are seeking to conduct interviews with those with knowledge of the industry.

The research aims to increase understanding of the following topics:

Oxford Insights and Cambridge Econometrics would like to speak individuals with experience and knowledge of the AI development ecosystem, Innovate UK and other funding programmes, Standards Developing Organisations (SDOs), AI patents, AI R&D in the public and private sectors, AI funding and Venture Capital, and AI policy.

Our interviews will take approximately 45 mins -1 hour; however, we are happy to accommodate if time doesnt permit this length of interview. We may request your approval to follow up on specific points and themes identified across all our interactions.

Please get in touch with either aisha.naz@dcms.gov.uk or sam.hainsworth@dcms.gov.uk if you have any clarifications or questions. We look forward to working with you.

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Understanding the UK Artificial Intelligence commercialisation - GOV.UK

What is Artificial Intelligence as a Service (AIaaS)? | ITBE – IT Business Edge

Software as a Service, or SaaS, is a concept that is familiar to many. Long-time Photoshop users will recall when Adobe stopped selling its product and instead shifted to a subscriber model. Netflix and Disney+ are essentially Movies as a Service, particularly at a time when ownership of physical media is losing ground to media streaming. Artificial Intelligence as a Service (AIaaS) has been growing in market adoption in recent years, but the uninitiated might be asking: what exactly is it?

In a nutshell, AIaaS is what happens when a company develops and licenses use of an AI to another company, most often to solve a very specific problem. For example, Bill owns a company that sells hotdogs through his e-commerce site. While Bill offers a free returns policy for dissatisfied customers, he lacks the time to provide decent customer support, and rarely replies to emails. Separately, a software developer has created a chatbot that can handle most customer inquiries using natural language processing, and often solve the issue or answer a question before human intervention is even required. For a monthly fee, the chatbot is licensed to the hotdog vendor, and implemented on his website. Now, the bot is solving 80% of customer issues, leaving Bill with the time to respond to the remaining 20%. But Bill is still too preoccupied making hotdogs, so he subscribes to a service like Flowrite, that uses AI to intelligently write his emails on the fly.

AI is also being put in service to analyze large sets of data and make predictions, streamline information storage, or even detect fraudulent activity. Amazons personal recommendation engine, an AI powered by machine learning, is now available as a licensed service to other retailers, video stream platforms, and even the finance industry. Googles suite of AI services range from natural language processing, handwriting recognition, to real-time captioning and translation. IBMs groundbreaking AI, Watson, is now being deployed to fight financial crimes, target advertisements based on real-time weather analysis, and analyze data to help hospitals make treatment judgements.

Also read: AI-Enabled Payments: A Q&A with Tradeshift

Also read: How Quantum Computing Will Transform AI

Machine learning AIs improve with time, usage, and development. Some, like YouTubes recommendation engine, have become so sophisticated that it sometimes feels like we have entire television stations tailored perfectly to our interests. Others, like language model AI GPT-3, produce entire volumes of text that are nearly indistinguishable from an authentic human source.

Microsoft has even put GPT-3 to use to translate conversational language into a working computer code, potentially opening up a new frontier in how software can be written in the future, and giving coding novices a fighting chance. Microsoft has also partnered with NVIDIA to create a new natural language generation model, three times as powerful as GPT-3. Improvements in language recognition and generation have obvious carryover benefits for the future development of chatbots, home assistants, and document generation as well.

Industrial giant Siemens has announced they are integrating Googles AIaaS solutions to streamline and analyze data, and predict, for instance, the rate of wear-and-tear of machinery on their factory floor. This could reduce maintenance costs, improve the scheduling of routine inspections, and prevent unexpected equipment failures.

AIaaS is a rapidly growing field, and there will be many more niches discovered that it can fill for years to come.

Read next: Top 5 Benefits of AI in Banking and Finance

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What is Artificial Intelligence as a Service (AIaaS)? | ITBE - IT Business Edge

Transactions in the Age of Artificial Intelligence: Risks and Considerations – JD Supra

Artificial Intelligence (AI) has become a major focus of, and the most valuable asset in, many technology transactions and the competition for top AI companies has never been hotter. According to CB Insights, there have been over 1,000 AI acquisitions since 2010. The COVID pandemic interrupted this trajectory, causing acquisitions to fall from 242 in 2019 to 159 in 2020. However, there are signs of a return, with over 90 acquisitions in the AI space as of June 2021 according to the latest CB Insights data. With tech giants helping drive the demand for AI, smaller AI startups are becoming increasingly attractive targets for acquisition.

AI companies have their own set of specialized risks that may not be addressed if buyers approach the transaction with their standard process. AIs reliance on data and the dynamic nature of its insights highlight the shortcomings of standard agreement language and the risks in not tailoring agreements to address AI specific issues. Sophisticated parties should consider crafting agreements specifically tailored to AI and its unique attributes and risks, which lend the parties a more accurate picture of an AI systems output and predictive capabilities, and can assist the parties in assessing and addressing the risks associated with the transaction. These risks include:

Freedom to use training data may be curtailed by contracts with third parties or other limitations regarding open source or scraped data.

Clarity around training data ownership can be complex and uncertain. Training data may be subject to ownership claims by third parties, be subject to third-party infringement claims, have been improperly obtained, or be subject to privacy issues.

To the extent that training data is subject to use limitations, a company may be restricted in a variety of ways including (i) how it commercializes and licenses the training data, (ii) the types of technology and algorithms it is permitted to develop with the training data and (iii) the purposes to which its technology and algorithms may be applied.

Standard representations on ownership of IP and IP improvements may be insufficient when applied to AI transactions. Output data generated by algorithms and the algorithms themselves trained from supplied training data may be vulnerable to ownership claims by data providers and vendors. Further, a third-party data provider may contract that, as between the parties, it owns IP improvements, resulting in companies struggling to distinguish ownership of their algorithms prior to using such third-party data from their improved algorithms after such use, as well as their ownership and ability to use model generated output data to continue to train and improve their algorithms.

Inadequate confidentiality or exclusivity provisions may leave an AI systems training data inputs and material technologies exposed to third parties, enabling competitors to use the same data and technologies to build similar or identical models. This is particularly the case when algorithms are developed using open sourced or publicly available machine learning processes.

Additional maintenance covenants may be warranted because an algorithms competitive value may atrophy if the algorithm is not designed to permit dynamic retraining, or the user of the algorithm fails to maintain and retrain the algorithm with updated data feeds.

In addition to the above, legislative protection in the AI space has yet to fully mature, and until such time, companies should protect their IP, data, algorithms, and models, by ensuring that their transactions and agreements are specifically designed to address the unique risks presented by the use and ownership of training data, AI-based technology and any output data generated by such technology.

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Transactions in the Age of Artificial Intelligence: Risks and Considerations - JD Supra

The 5 articles you read in AI hell – The Next Web

The devil went down to Silicon Valley; he was looking for a soul to steal. But he ended up taking a consulting gig with Palantir instead.

In the meantime, the algorithms in charge of punishing the wicked now. And these days the sign above hells gates reads Abandon Open Source, with an Amazon smile beneath the print.

Those condemned to an eternity of pain and suffering in the modern era are now forced to read the same five AI articles over and over.

Which kind of sounds like what its like to read tech news back here on Earth anyway. Dont believe me? Lets dive in.

No it wasnt. These articles usually involve a text generator such as OpenAIs GPT-3. The big idea is that the journalist will either pay for access or collaborate with OpenAI to get GPT-3 to generate text from various prompts.

The journalist will ask something silly like can AI ever truly think like a human? and then GPT-3 will use that prompt to generate a specific number of outputs.

Then, the journalists and editors go to work. Theyll pick the best responses, mix and match sentences that make the most sense, and then discard the rest.

This is the editorial equivalent of taking the collected works of Stephen King, copy/pasting a single sentence from each book into a word doc, and then claiming youve published an entirely new book from the master of horror.

In hell, you stand in a long line to read hyperbolic, made-up stories about AIs capabilities. And, as your ultimate punishment, you have to rewrite them for the next person in line.

I remember reading about an early funding round for an AI company called PredPol. It had raised several million dollars to develop an AI system capable of predicting crime before it happens.

Im sorry. Perhaps you didnt read that right. It says: predicting crime before it happens.

This is something thats impossible. And I dont mean technologically impossible, I mean not possible within the realms of classical or quantum physics.

You see crime isnt generated from hotspots like mobs spawning in an MMO every 5 minutes. A first year statistics or physics student understands that no amount of historical data can predict where new crimes will occur. Mostly because the past isnt literally prescient. But, also, its impossible to know how many crimes have actually been committed.Most crimes go unreported.

PredPol cant predict crime. It predicts arrests based on historical data. In other words: PredPol tells you where youve already arrested people and then says try there again. Simply put: it doesnt work because it cant work.

But it raised money and raised money until one day it grew into a full-grown company worth billions all for doing nothing.

In hell, you have to read funding stories about billion-dollar AI startups that dont actually do anything or solve any problems. And youre not allowed to skim.

Theres variations on this one Googles AI demonstrates a 72% reduction in racial bias, Amazons new algorithm is 87% better at spotting and removing Naziproducts from its store front and theyre all bunk.

Big techs favorite PR company is the mainstream media.

Facebook will, as a hypothetical example, say something like our new algorithms are 80% more efficient at finding and removing toxic content in real time, and thats when the telephone game starts.

Youll see half a dozen reputable news outlets printing headlines that basically say Facebooks new algorithms make it 80% less toxic. And thats simply not true.

If a chef were to tell you theyve adopted a new cooking technique that results in 80% less fecal matter being detected in the soup theyre about to serve, you probably wouldnt think that was a good thing.

Increasing the efficiency of an algorithm doesnt result in a unilateral increase in overall system efficiency. And, because statistical correlations are incredibly difficult to make when you dont have access to the actual data being discussed, the people writing up these stories are simply taking the big tech marketing teams word for it.

In hell, you have to read articles about big tech companies that only have quotes from people who work at those companies and statistics that cant possibly be verified.

Weve all read these stories. They cover the biggest issues in the world of AI as if theyre writing about the weather.

The story will be something like Clearview AI gets new government contracts, and the coverage will quote a politician, the CEO of Clearview, and someone representing law enforcement.

The gist of the piece will be Ethics aside, law enforcement agencies say these products are invaluable.

And then, way down towards the end of the article, youll see the obligatory studies have shown that facial recognition struggles to identify some faces. Experts warn against the use of such technologies until this bias can be solved.

In hell, every AI article you read starts with the sentence this doesnt work as well for Black people or women, but were just going to move past that like it isnt important.

My least favorite AI article is the ones that profess to tell me what non-experts think.

These are the articles with headlines like Study: 80% of people believe AI will be sentient within a decade and 75% of moms think Alexa is a danger to children.

These studies are typically conducted by consultancy companies that specialize in this sort of thing. And usually theyre not out conducting studies on the speculation that some journalist will find their workappealing. They get paid to do their research.

And by research, I mean: sourcing answers on Amazons Mechanical Turk or giving campus students a gift card to fill out a survey.

These studies are often bought and paid for ahead of time by an AI company as a marketing tool.

These pitches, in my inbox, usually look something like Hey Tristan, did you hear that 92% of CEOs dont know what Kubernetes is? Are you interested in this exclusive study and a conversation with Dr Knows Itall, founder of the Online School For Learning AI Good? They can speak to the challenges of hiring quality IT talent.

Can you spot the rubbish?

In hell, the algorithm tells you that you can read articles covering actual computer science research as soon as you finish reading all the vapid survey pieces on AI published in mainstream outlets.

But youre never done are you? Theres always another. What do soccer dads think about gendered voice assistants? What percentage of people think data is a character on Star Trek? Will driverless cars be a reality in 2022? Heres what Tesla owners think.

Yes, AI hell is a place filled with horrors beyond comprehension. And, just in case you havent figured it out yet, were already here. This article has been your orientation.

Now if youll just sign in to Google News, well get started (Apple News is currently not available in hell due to legal issues concerning the App Store).

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The 5 articles you read in AI hell - The Next Web

SenseTime Co-hosts the 3rd International Artificial Intelligence Fair to Nurture AI Talent and Promote a Collaborative Education Ecosystem -…

Since launching in July this year, the highly anticipated IAIF has attracted 665 project submissions from over 300 schools in 8 countries and regions, with 121 projects from 98 schools selected for the final online presentation and verbal Q&A.During the final competition presentations, the project submissions were reviewed meticulously by 45 professional judges from top-tier universities, enterprises and research institutions, including University of Science and Technology of China, Tsinghua University, Fudan University, Shanghai Jiao Tong University, Nanyang Technological University, Peking University, Chinese University of Hong Kong and Shanghai Technology Art Center. The teaching and evaluation system of martial arts based on body posture recognition and machine learning by Li Lufei from Shanghai Nanyang Model High School and Wu Keyu from the High School Affiliated to Fudan University as well as the drone powered by OpenCV for flood fight and rescue by Huang Pucheng, Wang Bingyang and Lin Yinhang from Zhejiang Wenling High School became the winners of the grand prize.

Besides, the research of rehabilitation assessment and training system powered by 3D hand posture verification by Zhang Yihong from Shanghai World Foreign Language Academy stood out from many excellent projects and won the first prize. Leveraging the 3D hand posture verification, this project aims to design a low-cost and easy-to-operate product for the patient with hand movement disorders, realizing 89.9% accurate in assessment of hand rehabilitation and training.

Lin Junqiu, Deputy Director of Science and Education Department from Shanghai Science, Art and Education Center, said, "Artificial intelligence is critical to our future. As we continue to advance technology development, we must cultivate a larger pool of AI talent with even higher levels of expertise and innovation capability. The huge opportunities brought by the AI era will facilitate transformative applications across industry verticals and scenarios but also formulate optimal collaboration between human being and artificial intelligence."

Lynn Dai, General Manager of SenseTime's Education Product, said at the final competition, "AI has become an important driving force for technological innovation, we believe the IAIF can provide an innovative platform for young people to develop their interest in AI. Meanwhile, SenseTime Education is dedicated to nurturing young talent and broadening their horizons with advanced insights from an industry perspective, as well as preparing them for the AI-empowered future."

IAIF is also providing comprehensive services for participants, from scientific innovation training to project incubation, helping them solve practical industrial problems. The IAIF organizing committee hosted a four-week AI training course for students before the final competition. The students from the most outstanding project teams will have the chance to participate in other national or international competitions. In addition, the students from the most outstanding IAIF projects will participate in a roadshow training workshop for startups as part of incubator programmes organized by SenseTime; the company will provide technology for high-potential projects.

"IAIF provided me with a unique opportunity to exchange ideas on this exciting AI topic with participants from different schools around the world," said Wu Keyu, the winner of the grand prize. "Through this competition, I have gained a better understanding of the powerful impact from AI and humans working together to build novel solutions that will create a better tomorrow for human society."

The success of the 3rd International Artificial Intelligence Fair not only marks the formation of the foundations for the AI education ecosystem developed by the Shanghai Xuhui Education Bureau and SenseTime, but also boosts the collaboration among governments, academia, enterprises and industries in AI technology innovation. In the future, SenseTime Education will continue to act as a focal point and a platform for cultivating future AI talents.

About SenseTime

SenseTime is a leading AI software company focused on creating a better AI-empowered future through innovation. Upholding a vision of advancing the interconnection of the physical and digital worlds with AI, driving sustainable productivity growth and seamless interactive experiences, SenseTime is committed to advancing the state of the art in AI research, developing scalable and affordable AI software platforms that benefit businesses, people and society, and attracting and nurturing top talents, shaping the future together.

With our roots in the academic world, we invest in our original and cutting-edge research that allows us to offer and continuously improve industry-leading, full-stack AI capabilities, covering key fields across perception intelligence, decision intelligence, AI-enabled content generation and AI-enabled content enhancement, as well as key capabilities in AI chips, sensors and computing infrastructure. Our proprietary AI infrastructure, SenseCore, allows us to develop powerful and efficient AI software platforms that are scalable and adaptable for a wide range of applications.

Today, our technologies are trusted by customers and partners in many industry verticals including Smart Business, Smart City, Smart Life and Smart Auto.

We have offices in markets including Hong Kong, Mainland China, Taiwan, Macau, Japan, Singapore, Saudi Arabia, the United Arab Emirates, Malaysia, and South Korea, etc., as well as presences in Thailand, Indonesia and the Philippines. For more information, please visit SenseTime's website as well as its LinkedIn, Twitter and Facebook pages.

SOURCE SenseTime

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SenseTime Co-hosts the 3rd International Artificial Intelligence Fair to Nurture AI Talent and Promote a Collaborative Education Ecosystem -...