Eric Sydell is the EVP of Innovation at Modern Hire, and author of the forthcoming book Decoding Talent: How AI and Big Data Can Solve Your Company’s People Puzzle, from Fast Company Press. In Eric’s role at Modern Hire, he guides the data science-focused Labs team in developing novel ways to understand data – not just assessment data, but unstructured information of all types. He has also worked with numerous large clients over the years, and speaks and writes widely. Eric received his Ph.D. in Industrial/Organizational Psychology from the University of Akron.
Eric Sydell
EVP of Innovation at Modern Hire
LinkedIn:
Session title: TLDR: If you work in HR, recruiting, or selection and you find yourself saying “what does all this AI stuff mean?!”, please attend our session.
Session synopsis:
Artificial Intelligence (AI) has seen rapid expansion and integration into many sectors throughout our society. It’s helping medical professionals make more accurate diagnoses, it’s helping Engineers model and build better bridges, and now its helping selection scientists and HR professionals select the best available candidates for organizational positions. This session will provide attendees with fundamental knowledge concerning how AI is being applied to selection. Specifically, we will discuss applications of fair machine learning (ML), which has seen exponentially increasing research and public attention over the past several years. Based on research and best practices, we will discuss when, how, and why biased data impacts AI/ML modeling. With this knowledge, we cover some potential pitfalls and/or miss-applications of AI models that inadvertently lead to negative outcomes or potential liability.
If you are interested in learning more about the power of AI or about its potential pitfalls, we believe you will find this session refreshing and informative. Our goal for this session is to help attendees gain a comfortable understanding of AI applications in organizational selection. Attendees will learn some fundamentals of AI/ML so that they may better understand what signs HR professionals should look for when assessing an AI tool’s utility for their organization.
Attendees will leave the session with insight into the following:
How and where can AI be useful to my organization’s HR and selection needs?
What data should and should not be included in my selection procedures?
What are common “application pitfalls” I should avoid?
How can I tell if I am being oversold on something being AI?
How can I assess if an AI product is working/functioning the way it should? Is it meeting my organization’s needs?
