AI transforms the nature of work, but doesnt change the jobs to be done.
From voice-activated smart speakers like Google Home to the spam filter on our work emails, AI has infiltrated our daily lives. Depending on who you talk to, AI will either enable us to do our jobs better or make them completely redundant. The reality is that AI transforms the nature of work, but doesnt change the jobs to be done. The aspects that make us inherently human critical reasoning, communication and empathy will still be vital attributes in the future of work.
If you give a computer a problem, it learns from its interactions with the problem to identify a solution faster than humans can. But, if you ask a computer to look at two paintings and say which is more interesting, it cannot. Unlike people, artificial intelligence is not able to think abstractly and emotionally.
By supplementing human intelligence and creativity with technology that reduces menial processes, there is a great opportunity to enable recruiters not replace them. McKinsey research shows that over two thirds of businesses (69%) believe AI brings value to their Human Resources function.
Here are three ways AI improves recruitment practices:
1. Reducing unconscious bias
People have an unintentional tendency to make decisions based on their underlying beliefs, experiences and feelings its how we make sense of the world around us. And recruiting is no different. In fact, theres bias in something as straightforward as the words we choose.
Research shows that job descriptions that use descriptive words like support and understanding are biased towards female applicants, whereas competitive and lead are biased towards males. When we use these loaded words, were limiting the pool of candidates who will apply for an open role, making the recruiting process biased and affecting hiring outcomes. AI-enabled tools such as Textio can support recruiters to identify the use of bias in role description wording. Removing these words and making descriptions neutral and inclusive can lead to 42% more applications.
Unconscious bias can extend beyond our choice of words to the decisions we make about candidates. Unintentionally, recruiters and hiring managers can decide to interview someone based on the university they attended or even where they are from, or view them as a cultural fit based on answers. But decisions based on these familiarities disregard important factors like a candidates previous work experience and skills. When AI is used to select the shortlist for interviews, it can circumvent bias that was introduced by manually scanning resumes.
While AI can reduce bias, this is only true if the programs themselves are designed carefully. Machine learning algorithms are subject to the potentially biased programming choice of the people who build them and the data set theyre given. While development of this technology is still being fine tuned, we need to focus on finding the balance between artificial intelligence and human intelligence. We shouldnt rely solely on one or the other, but instead use them to complement each other.
2. Improving recruitment for hiring managers, recruiters and candidates
It goes without saying that recruitment is a people-first function. Candidates want to speak to a recruiter or hiring manager and form an authentic connection, which they wont be able to get from interacting with a machine.
Using AI, recruiters can remove tedious and time-consuming processes, so recruiters have more time to focus on engaging candidates as part of the assessment process.
XOR is a good example of this. The platform enables pre-screening of applications, qualifications and automatic interview scheduling. By taking out these tedious administrative tasks from a recruiters day, they can optimise their time to focus on finding the best fit for the role.
AI also helps create an engaging and personalised candidate experience. AI can be leveraged to nurture talent pools by serving relevant content to candidates based on their previous applications. At different stages of the process, AI can ask candidates qualifying questions, learn what types of roles they would be interested in, and serve them content that assists in their application.
But AI does have a different impact on the candidate experience depending on what stage it is implemented in the recruitment process. Some candidates prefer interacting with a chatbot at the start of the application process, as they feel more comfortable to ask general questions such as salary and job location. For delivery firm Yodel, implementing chatbots at the initial stage of the application process resulted in a decrease in applicant drop-off rates. Now only 8% of applicants choose not to proceed with their application, compared to a previous drop-off rate of 50-60%.
When it comes to more meaningful discussions such as how the role aligns with a candidate's career goals and how they can progress within the company human interaction is highly valued. Considering when and how you use AI to enhance the recruitment experience is key to getting the best results.
3. Identifying the best candidate for a role
At its core, recruitment is about finding the best person for a role. During the screening process, recruiters can use AI to identify key candidates by mapping the traits and characteristics of previous high-performing employees in the same role to find a match. This means recruiters are able to fill open roles more quickly and ensure that new hires are prepared to contribute to their new workplace.
PredictiveHire is one of these tools. It uses AI to run initial screening of job applications, making the process faster and more objective by pulling data and trends from a companys previous high-performing employees and scanning against candidate applications. With 88% accuracy, PredictiveHire identifies the traits inherent to a companys high performers so recruiters can progress them to the interview stage.
Undoubtedly, we will continue to see more exciting applications of AI in the next few years. The talent search process can certainly be streamlined and improved by incorporating AI. For recruiters, it is about finding the right balance in marrying AI application and human intelligence to make the hiring process what it should be seamless and engaging.
Read more:
3 ways AI is changing the game for recruiters and talent managers - Forbes
- Classic reasoning systems like Loom and PowerLoom vs. more modern systems based on probalistic networks - November 8th, 2009 [November 8th, 2009]
- Using Amazon's cloud service for computationally expensive calculations - November 8th, 2009 [November 8th, 2009]
- Software environments for working on AI projects - November 8th, 2009 [November 8th, 2009]
- New version of my NLP toolkit - November 8th, 2009 [November 8th, 2009]
- Semantic Web: through the back door with HTML and CSS - November 8th, 2009 [November 8th, 2009]
- Java FastTag part of speech tagger is now released under the LGPL - November 8th, 2009 [November 8th, 2009]
- Defining AI and Knowledge Engineering - November 8th, 2009 [November 8th, 2009]
- Great Overview of Knowledge Representation - November 8th, 2009 [November 8th, 2009]
- Something like Google page rank for semantic web URIs - November 8th, 2009 [November 8th, 2009]
- My experiences writing AI software for vehicle control in games and virtual reality systems - November 8th, 2009 [November 8th, 2009]
- The URL for this blog has changed - November 8th, 2009 [November 8th, 2009]
- I have a new page on Knowledge Management - November 8th, 2009 [November 8th, 2009]
- N-GRAM analysis using Ruby - November 8th, 2009 [November 8th, 2009]
- Good video: Knowledge Representation and the Semantic Web - November 8th, 2009 [November 8th, 2009]
- Using the PowerLoom reasoning system with JRuby - November 8th, 2009 [November 8th, 2009]
- Machines Like Us - November 8th, 2009 [November 8th, 2009]
- RapidMiner machine learning, data mining, and visualization tool - November 8th, 2009 [November 8th, 2009]
- texai.org - November 8th, 2009 [November 8th, 2009]
- NLTK: The Natural Language Toolkit - November 8th, 2009 [November 8th, 2009]
- My OpenCalais Ruby client library - November 8th, 2009 [November 8th, 2009]
- Ruby API for accessing Freebase/Metaweb structured data - November 8th, 2009 [November 8th, 2009]
- Protégé OWL Ontology Editor - November 8th, 2009 [November 8th, 2009]
- New version of Numenta software is available - November 8th, 2009 [November 8th, 2009]
- Very nice: Elsevier IJCAI AI Journal articles now available for free as PDFs - November 8th, 2009 [November 8th, 2009]
- Verison 2.0 of OpenCyc is available - November 8th, 2009 [November 8th, 2009]
- What’s Your Biggest Question about Artificial Intelligence? [Article] - November 8th, 2009 [November 8th, 2009]
- Minimax Search [Knowledge] - November 8th, 2009 [November 8th, 2009]
- Decision Tree [Knowledge] - November 8th, 2009 [November 8th, 2009]
- More AI Content & Format Preference Poll [Article] - November 8th, 2009 [November 8th, 2009]
- New Planners Solve Rescue Missions [News] - November 8th, 2009 [November 8th, 2009]
- Neural Network Learns to Bluff at Poker [News] - November 8th, 2009 [November 8th, 2009]
- Pushing the Limits of Game AI Technology [News] - November 8th, 2009 [November 8th, 2009]
- Mining Data for the Netflix Prize [News] - November 8th, 2009 [November 8th, 2009]
- Interview with Peter Denning on the Principles of Computing [News] - November 8th, 2009 [November 8th, 2009]
- Decision Making for Medical Support [News] - November 8th, 2009 [November 8th, 2009]
- Neural Network Creates Music CD [News] - November 8th, 2009 [November 8th, 2009]
- jKilavuz - a guide in the polygon soup [News] - November 8th, 2009 [November 8th, 2009]
- Artificial General Intelligence: Now Is the Time [News] - November 8th, 2009 [November 8th, 2009]
- Apply AI 2007 Roundtable Report [News] - November 8th, 2009 [November 8th, 2009]
- What Would You do With 80 Cores? [News] - November 8th, 2009 [November 8th, 2009]
- Software Finds Learning Language Child's Play [News] - November 8th, 2009 [November 8th, 2009]
- Artificial Intelligence in Games [Article] - November 8th, 2009 [November 8th, 2009]
- Artificial Intelligence Resources - November 8th, 2009 [November 8th, 2009]
- Alan Turing: Mathematical Biologist? - April 25th, 2012 [April 25th, 2012]
- BBC Horizon: The Hunt for AI ( Artificial Intelligence ) - Video - April 30th, 2012 [April 30th, 2012]
- Can computers have true artificial intelligence" Masonic handshake" 3rd-April-2012 - Video - April 30th, 2012 [April 30th, 2012]
- Kevin B. Korb - Interview - Artificial Intelligence and the Singularity p3 - Video - April 30th, 2012 [April 30th, 2012]
- Artificial Intelligence - 6 Month Anniversary - Video - April 30th, 2012 [April 30th, 2012]
- Science Breakthroughs - April 30th, 2012 [April 30th, 2012]
- Hitman: Blood Money - Part 49 - Stupid Artificial Intelligence! - Video - April 30th, 2012 [April 30th, 2012]
- Research Members Turned Off By HAARP Artificial Intelligence - Video - April 30th, 2012 [April 30th, 2012]
- Artificial Intelligence Lecture No. 5 - Video - April 30th, 2012 [April 30th, 2012]
- The Artificial Intelligence Laboratory, 2012 - Video - April 30th, 2012 [April 30th, 2012]
- Charlie Rose - Artificial Intelligence - Video - April 30th, 2012 [April 30th, 2012]
- Expert on artificial intelligence to speak at EPIIC Nights dinner - May 4th, 2012 [May 4th, 2012]
- Filipino software engineers complete and best thousands on Stanford’s Artificial Intelligence Course - May 4th, 2012 [May 4th, 2012]
- Vodafone xone™ Hackathon Challenges Developers and Entrepreneurs to Build a New Generation of Artificial Intelligence ... - May 4th, 2012 [May 4th, 2012]
- Rocket Fuel Packages Up CPG Booster - May 4th, 2012 [May 4th, 2012]
- 2 Filipinos finishes among top in Stanford’s Artificial Intelligence course - May 5th, 2012 [May 5th, 2012]
- Why Your Brain Isn't A Computer - May 5th, 2012 [May 5th, 2012]
- 2 Pinoy software engineers complete Stanford's AI course - May 7th, 2012 [May 7th, 2012]
- Percipio Media, LLC Proudly Accepts Partnership With MIT's Prestigious Computer Science And Artificial Intelligence ... - May 10th, 2012 [May 10th, 2012]
- Google Driverless Car Ok'd by Nevada - May 10th, 2012 [May 10th, 2012]
- Moving Beyond the Marketing Funnel: Rocket Fuel and Forrester Research Announce Free Webinar - May 10th, 2012 [May 10th, 2012]
- Rocket Fuel Wins 2012 San Francisco Business Times Tech & Innovation Award - May 13th, 2012 [May 13th, 2012]
- Internet Week 2012: Rocket Fuel to Speak at OMMA RTB - May 16th, 2012 [May 16th, 2012]
- How to Get the Most Out of Your Facebook Ads -- Rocket Fuel's VP of Products, Eshwar Belani, to Lead MarketingProfs ... - May 16th, 2012 [May 16th, 2012]
- The Digital Disruptor To Banking Has Just Gone International - May 16th, 2012 [May 16th, 2012]
- Moving Beyond the Marketing Funnel: Rocket Fuel Announce Free Webinar Featuring an Independent Research Firm - May 23rd, 2012 [May 23rd, 2012]
- MASA Showcases Latest Version of MASA SWORD for Homeland Security Markets - May 23rd, 2012 [May 23rd, 2012]
- Bluesky Launches Drones for Aerial Surveying - May 23rd, 2012 [May 23rd, 2012]
- Artificial Intelligence: What happened to the hunt for thinking machines? - May 25th, 2012 [May 25th, 2012]
- Bubble Robots Move Using Lasers [VIDEO] - May 25th, 2012 [May 25th, 2012]
- UHV assistant professors receive $10,000 summer research grants - May 27th, 2012 [May 27th, 2012]
- Artificial intelligence: science fiction or simply science? - May 28th, 2012 [May 28th, 2012]
- Exetel taps artificial intelligence - May 29th, 2012 [May 29th, 2012]
- Software offers brain on the rain - May 29th, 2012 [May 29th, 2012]
- New Dean of Science has high hopes for his faculty - May 30th, 2012 [May 30th, 2012]
- Cognitive Code Announces "Silvia For Android" App - May 31st, 2012 [May 31st, 2012]
- A Rat is Smarter Than Google - June 5th, 2012 [June 5th, 2012]