Machine Learning
Industrial and organizational psychologists depend on meta-analysis to synthesize research and guide evidence-based practice, but producing a new meta-analysis is slow, expensive, and labor intensive. This year’s SIOP Machine Learning…
Machine Learning in Organizational Research and Practice: Key Considerations and Recent Advancements
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The latest issue of Industrial and Organizational Psychology (IOP) is now available. Volume 18 Issue 3 September 2025 includes one commentary and 12 focal articles. The commentary, Turbulent times, targeted…
A job search in the past few years has changed from being a conversation between a candidate and an employer; artificial intelligence (AI) now stands in the middle, rewriting the…
Artificial intelligence (AI) has become an unavoidable tool in many workplaces, and I-O psychology related fields are not immune to this trend. A report by McKinsey estimates that up to…
I-O psychologists rely on a variety of preemployment assessments to get an in-depth picture of job candidates, which organizations use to determine whom to hire. If those assessments were not…
Celebrating its fifth anniversary at the SIOP Annual Conference, the Machine Learning Competition stands as a testament to the growing synergy between machine learning and I-O psychology. Launched in 2018,…
Introduction Like other applications of artificial intelligence (AI) technologies, the use of AI-based assessments for employment purposes is increasing rapidly. These assessments may incorporate a variety of applications of AI…
Introduction Like other applications of artificial intelligence (AI) technologies, the use of AI-based assessments for employment purposes is increasing rapidly. These assessments may incorporate a variety of applications of AI…
In late November 2022, ChatGPT was released to the public with great public attention (OpenAI, 2022). With it came discussion of how transformative this technology will be. Would it eliminate…
