Chapter 1 - Editorial Chapter Isaac Thompson, Georgi P. Yankov, and Ivan Hernandez Chapter 2 - History of Technological Shifts and Their Impact on I-O Psychology Michael J. Zickar, Feng Guo Chapter 3 - Artificial Intelligence and Computation in the Social Sciences A Paradigm Shift Ryan L. Boyd, Santosh Srinivas, Shruti Phadke, Steven R. Wilson, and Paola Pasca Chapter 4- Overview of AI in IO Psychology Emily D. Campion, Michael A. Campion Chapter 5 - The Future of Work in the AI Era What Changes and What Endures Nilima Ajaikumar, Reece Akhtar, and Tomas Chamorro-Premuzic Chapter 6 - Establishing Reliability and Validity Evidence for AI-Based Scores Andrew B. Speer, Frederick L.
Oswald, and Dan J. Putka Chapter 7 - Overview of AI-Scored Interview and Psychometric Evidence Nikki Dudley, Josh Liff, Gema Ruiz de Huydobro, Cari Gardner, Colin Willis, Caleb Rottman, Nathan Mondragon Chapter 8 - Using Artificial Intelligence to Develop, Score, and Administer Simulations Louis Hickman Chapter 9 - Personality Assessment and AI Ryne A. Sherman Chapter 10 - Automatic Item Generation, Evaluation, and Scale Construction of Non-Cognitive Measures with Generative Language Models Martin C. Yu and Maura I. Burke Chapter 11 - Coaching and Artificial Intelligence Hunter T. Black, Kyle Sandell, Rainy Gu, & Karina Sakanaka Chapter 12 - Leadership Development and Artificial Intelligence Christopher Coughlin and David Day Chapter 13 - Artificial Intelligence and Performance Management Ann-Marie Johnson and Reese Haydon Chapter 14 - Preparing for a New Era of Teamwork Lindsay Larson and Alexandra Harrison-Watson Chapter 15 - Health and Stress and AI Mindy Shoss, Tara Behrend, Hannah Crandell, and Meaghan Tracy Chapter 16 - Exploring DEI Through the Lens of Artificial Intelligence Amal Chekili and Yasmine Elfeki Chapter 17 - Implications of AI for Workplace Monitoring and Privacy Benjamin D. Blachly, Mahtab Shafiei, Theophilus K. Kyeremateng, and Daniel M.
Ravid Chapter 18 - Leveraging AI Technology to Enhance Access to Work Teresa L. Ristow and Olivia J. Smith Chapter 19 - Evolution, not Revolution Christopher J. L. Cunningham and Shawn Bergman Chapter 20 - How to Get Started with AIData Science in IO Psychology Scott Tonidandel, Betsy Albritton, Divya Doshi, Joe Bradley Chapter 21 - Using Artificial Intelligence with New Data Types Reliability, Validity, Practicality, and Ethics Richard N. Landers, Saron Demeke, Vivien Lee Chapter 22 - How to Collaborate with Engineers and Data Scientists Nick Koenig and Daniel Schmerling Chapter 23 - Science in Sprints Philip Walmsley and Mengqiao Liu Chapter 24 - AI and I-O Collaboration for Research-backed Product Development Neil Morelli, Jon Willford, Ryan McCreedy, Nikki Blacksmith and Dane Wagner Chapter 25 - Introduction to MLOPs for Industrial-Organizational Psychologists Derek Mracek Chapter 26 - Choosing a Selection Vendor in the AI Age Anthony S. Boyce and Christine E. Boyce Chapter 27 - A Proposal for Embracing AI-based Assessment Responsibly Eric J.
Sydell and Ketaki Sodhi Chapter 28 - An introduction to explainable AI applications for I-O psychology Bradley D. Pitcher and Pengda Wang Chapter 29 - The EEOC and AI Nick Truxal Chapter 30 - AI Evaluations and Audits Cari Miller Chapter 31 - Regulating Artificial Intelligence Bre Timko and Dave Schmidt.