AI in Human Resource Management Conference

Fred Oswald is a Professor in the Department of Psychological Sciences, Herbert S. Autrey Chair of Social Sciences at Rice University, with his PhD in industrial-organizational psychology from the University of Minnesota. His current research investigates the nature and use of AI and machine learning within employment testing and talent management settings. He is the incoming Editor of Psychological Methods, and is outgoing Associate Editor at the Journal of Applied Psychology. He also currently serves as Chair of the National Academies Board on Human-Systems Integration (BOHSI) and Member of the National Artificial Intelligence Advisory Committee (NAIAC, 2022), which advises the President and Secretary of Commerce. Fred is a fellow and past president of the American Psychological Association’s (APA) Division 14 (Society for Industrial and Organizational Psychology, SIOP), as well as a fellow of APA Division 5 (Quantitative and Qualitative Methods) and Division 8 (Society for Personality and Social Psychology). Learn more at https://workforce.rice.edu/about-fred

Emily Campion is an Assistant Professor of Management and Entrepreneurship in the Tippie College of Business at the University of Iowa. Her research focuses largely on staffing procedures, how to leverage machine learning and natural language processing to improve these systems, and ways to mitigate employment discrimination. Her work has appeared in Journal of Applied Psychology, Personnel Psychology, Organization Science, Journal of Management, Leadership Quarterly, and Journal of Vocational Behavior. Emily is currently serving as an editorial board member for Journal of Applied Psychology and Personnel Psychology. As a consultant for Campion Consulting Services, she works with private and public companies, as well as governmental agencies, on projects related to assessing and improving personnel selection systems, evaluating and reducing employment discrimination, conducting job analyses, and assessing pay equity. Prior to academia, she was a daily reporter in Indiana and an AmeriCorps member in Washington, D. C. She earned her Ph.D. in Organization and Human Resources from the University at Buffalo, The State University of New York.

Louis Hickman is an Assistant Professor of Industrial-Organizational Psychology at Virginia Tech, a Senior Fellow at Wharton People Analytics of the University of Pennsylvania, a Research Fellow at ghSMART, an executive search and consulting firm, and a Visiting Academic at Amazon. His research focuses on how technology influences the world of work and how we can use modern technologies, including machine learning (ML), artificial intelligence (AI), and natural language processing (NLP), to improve our understanding of human behavior. The interdisciplinary, award winning research that Louis conducts on organizational applications of artificial intelligence, machine learning, and natural language processing has appeared in Journal of Applied Psychology, Personnel Psychology, and Organizational Research Methods. He serves as an Associate Editor for the International Journal of Selection and Assessment and on the editorial boards of Journal of Applied Psychology and Organizational Research Methods.

Lily Morse is an assistant professor of management at the Daniels College of Business in University of Denver. Before joining Daniels in 2024, she was a faculty member at West Virginia University. She has also served as a visiting assistant professor at Boston College and postdoctoral associate at the University of Notre Dame. Holding a doctoral degree from Carnegie Mellon University, Lily is interested in conducting research on pressing ethical issues faced by organizations, including how to manage AI responsibly. She explores the gap between how technology performs and how fairly it’s perceived–and how managers can bridge that gap. Her research has been published in leading journals including Organizational Behavior and Human Decision Processes, MIS Quarterly, Nature Machine Intelligence, Journal of Business Ethics, and Journal of Personality and Social Psychology.

Evan Sinar is a Senior Research Scientist whose role involves researching and building products for behavioral evaluation and hiring decision making. Generative AI is a recent focus; Evan has designed end-to-end hiring systems for GenAI builder roles and delivered internal and external learning sessions on GenAI to multi-disciplinary groups. He is a frequent author on topics such as AI, future of work, HR analytics, digital coaching, candidate reactions, and technology-enabled assessment. Evan holds a Ph.D. in Industrial and Organizational Psychology from Bowling Green State University and is a Fellow of the Society for Industrial and Organizational Psychology (SIOP).

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John Ratzan is an Accenture Senior Managing Director, who has more than 25 years of experience in the banking industry. In his current role, Ratzan leads the Financial Services North America Data & Artificial Intelligence business, as well as the Accenture business at a global bank. He guides client relationships with business and technology leadership and consults on the business strategy and technology vision to deliver technology, process, and operational transformations. His expertise is in data, analytics, banking, payment systems, AI, and innovation. Prior to his current role, Ratzan led several transformations for global Financial Services clients, leveraging his aforementioned expertise and capability. He holds a B.S. dual major undergrad degree in management information systems (MIS) and operations management, a Masters in MIS, and an MBA – all from the University of Arizona. He also has a DBA focused on AI from Pace University.

Georgi Yankov, PhD, is a principal research scientist and team lead at Development Dimensions International (DDI), where he develops traditional tests and innovative simulations and interactive applications scored with machine learning algorithms. His expertise and publications are in the fields of computational psychometrics, machine learning, and personality assessment. Georgi has previously worked at Hogan Assessment Systems in the USA and Giunti Psychometrics in Europe, as well as consulted multiple assessment start-ups on how to build and validate their assessment tools. Georgi holds a bachelor's degree in philosophy from Sofia University, Bulgaria, as well as an MSc from Baruch College, CUNY and a PhD from Bowling Green State University, both in industrial-organizational psychology.

Chris DeVany is founder and president of Pinnacle Performance Improvement Worldwide, a management consulting firm. Pinnacle's clients include global organizations such as Visa International, Cadence Design Systems, Coca Cola, Sprint, Microsoft, Aviva Insurance, Schlumberger and over 500 other organizations in 22 countries. He also has consulted to government agencies from the United States, the Royal Government of Saudi Arabia, Canada, Cayman Islands and the United Kingdom. Chris holds degrees in management studies and organizational behavior from Boston University. He is also a prolific author, speaker, and instructor, who has published numerous articles and books on project management, sales, customer service, ethics, and diversity.