Join us for an engaging interactive virtual workshop designed to empower I-O psychology consultants, business leaders, organizational decision-makers, HR professionals, and talent management professionals with the essential knowledge to navigate the evolving generative artificial intelligence (GenAI) landscape. Through a combination of presentation and fireside chat, this workshop offers the perspectives and insights necessary to evaluate, adopt, and integrate GenAI into your work.
This workshop will equip you with information to successfully evaluate and implement AI methodologies that align with your role and your organization’s maturity level. You’ll also gain a robust set of strategic questions from this question-driven workshop designed to guide you through the evaluation and application of GenAI methodologies in your research and practice.
This workshop provides key takeaways on the following:
- Understanding GenAI and large language models (LLMs): Grasp the foundational concepts of GenAI and LLMs, including clear definitions and operational mechanisms of LLMs.
- Language Fluency in AI: Expand your GenAI vocabulary and become conversant in the terminology that’s shaping the future of our practice.
- Vendor Evaluation: Learn the critical questions to ask potential AI vendors to ensure alignment with your business objectives.
- Addressing AI Challenges: Discover strategies to tackle common hurdles associated with GenAI in HR research.
- Reskilling for an AI Future: Explore paradigm shifts that organizations need to understand and embrace to succeed in adapting to the rapidly evolving era of AI.
Presenters
Evan Sinar, Ph.D., is Senior Research Scientist for Global Hiring Science at Amazon, where he conducts research on and builds products for behavioral evaluation and hiring decision making across Amazon’s corporate roles. In this work, he uses a range of analytical approaches, with generative AI a recent focus. He has designed end-to-end hiring systems for GenAI builder roles and delivered internal learning sessions on GenAI model selection, prompt engineering, and use case alignment. His Amazon roles have also included leading global, mixed-methods research on candidate experience, employee value proposition, and employment branding. He partners across the business to design and implement products, programs, and processes to optimize hiring effectiveness and candidate experience. Evan is a frequent author on topics such as AI, future of work, HR analytics, digital coaching, candidate reactions, and technology-enabled assessment. He is a Fellow of SIOP and has served terms on the SIOP Executive Board as Financial Officer and Conferences & Programs Officer.
Dr. Sinar’s contributions to this workshop do not relate to his position at Amazon.
Dr. Jorge Tamayo is an assistant professor of business administration at Harvard Business School and co-leader of the Digital Reskilling Lab at Harvard’s Digital Data Design Institute.
Professor Tamayo is an applied microeconomist primarily interested in industrial organization and development economics. He was the winner of the 2023 HBR Award for the best article of the year in Harvard Business Review for “Reskilling in the Age of AI” (September–October 2023) with Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic, and Raffaella Sadun.
Professor Tamayo earned his Ph.D. in economics from the University of Southern California. He has a B.A. in economics and an M.S. in applied mathematics from Eafit University in Medellín, Colombia. Before pursuing his doctoral degree, he worked at the Central Bank of Colombia and as an adjunct professor in the department of economics at Eafit.
Alexandra Levit is the founder and CEO of Inspiration at Work, a woman-owned futurist consulting business with the goal of preparing organizations and their employees to be competitive and marketable in the future business world. A recent nationally syndicated columnist for the Wall Street Journal, Alexandra has authored several books, including the bestsellers They Don’t Teach Corporate in College, Humanity Works: Merging People and Technologies for the Workforce of the Future, and Deep Talent: How to Transform Your Organization and Empower Your Employees Through AI.
Alexandra recently received a certificate in strategic foresight from the University of Houston. She consults, writes, and conducts proprietary research on leadership, management, human resources, technology adoption, entrepreneurship, innovation, learning and skills gaps, gender and generational differences, DEI issues; and other career and workplace trends on behalf of numerous Fortune 500 companies including Accenture, ManpowerGroup, and Microsoft. She has also spoken about these topics at hundreds of conferences for clients including Abbott, ADP, Bank of America, Cardinal Health, Campbell Soup, Exelon, The Federal Reserve Bank, The Human Capital Institute, McDonalds, Microsoft, PepsiCo, The Society of Human Resource Management, and Whirlpool.
Fred Oswald is Professor and Herbert S. Autrey Chair in Social Sciences at Rice University. His research addresses how psychological tests are used within educational settings (e.g., job knowledge, personality), are appropriately developed, validated, scored, interpreted, used, and refined. Increasingly, employment testing by employers using AI and machine learning is raising a wide range of scientific, legal, and ethical concerns addressed in his work.
Current leadership positions Dr. Oswald holds include:
- Chair, Board on Human Systems Integration (BOHSI), National Academies
- Member, National Artificial Intelligence Advisory Committee (NAIAC)
- Associate Editor, Journal of Applied Psychology
- Incoming Editor, Psychological Methods
- Fellow, APA Divisions 5, 8, and 14; APS; SIOP
Activity
Workshop
Intended Audience
Solid understanding of the basic concepts covered in this learning program is assumed and may not be discussed or only discussed briefly in this learning program. Intended for someone with some experience in this content area.
Learning Objectives
This workshop provides key takeaways on the following:
- Understanding GenAI and large language models (LLMs): Grasp the foundational concepts of GenAI and LLMs, including clear definitions and operational mechanisms of LLMs.
- Language Fluency in AI: Expand your GenAI vocabulary and become conversant in the terminology that’s shaping the future of our practice.
- Vendor Evaluation: Learn the critical questions to ask potential AI vendors to ensure alignment with your business objectives.
- Addressing AI Challenges: Discover strategies to tackle common hurdles associated with GenAI in HR research.
- Reskilling for an AI Future: Explore paradigm shifts that organizations need to understand and embrace to succeed in adapting to the rapidly evolving era of AI.
Date
August 14, 2024
Time
11:00 a.m. - 2:00 p.m.
Cost
$159 Members: $189 Non-Members; $170 Affiliates
Delivery Type
Online
Workshop Coordinator
