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Social and Behavioral Sciences Commons

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Industrial and Organizational Psychology

Personnel Assessment and Decisions

Big data

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Full-Text Articles in Social and Behavioral Sciences

Scientific, Legal, And Ethical Concerns About Ai-Based Personnel Selection Tools: A Call To Action, Nancy T. Tippins, Frederick L. Oswald, S. Morton Mcphail Oct 2021

Scientific, Legal, And Ethical Concerns About Ai-Based Personnel Selection Tools: A Call To Action, Nancy T. Tippins, Frederick L. Oswald, S. Morton Mcphail

Personnel Assessment and Decisions

Organizations are increasingly turning toward personnel selection tools that rely on artificial intelligence (AI) technologies and machine learning algorithms that, together, intend to predict the future success of employees better than traditional tools. These new forms of assessment include online games, video-based interviews, and big data pulled from many sources, including test responses, test-taking behavior, applications, resumes, and social media. Speedy processing, lower costs, convenient access, and applicant engagement are often and rightfully cited as the practical advantages for using these selection tools. At the same time, however, these tools raise serious concerns about their effectiveness in terms of their …


“Where’S The I-O?” Artificial Intelligence And Machine Learning In Talent Management Systems, Manuel F. Gonzalez, John F. Capman, Frederick L. Oswald, Evan R. Theys, David L. Tomczak Nov 2019

“Where’S The I-O?” Artificial Intelligence And Machine Learning In Talent Management Systems, Manuel F. Gonzalez, John F. Capman, Frederick L. Oswald, Evan R. Theys, David L. Tomczak

Personnel Assessment and Decisions

Artificial intelligence (AI) and machine learning (ML) have seen widespread adoption by organizations seeking to identify and hire high-quality job applicants. Yet the volume, variety, and velocity of professional involvement among I-O psychologists remains relatively limited when it comes to developing and evaluating AI/ML applications for talent assessment and selection. Furthermore, there is a paucity of empirical research that investigates the reliability, validity, and fairness of AI/ML tools in organizational contexts. To stimulate future involvement and research, we share our review and perspective on the current state of AI/ML in talent assessment as well as its benefits and potential pitfalls; …


Introduction To The Special Issue On Advanced Technologies In Assessment: A Science-Practice Concern, Tara S. Behrend, Richard N. Landers Nov 2019

Introduction To The Special Issue On Advanced Technologies In Assessment: A Science-Practice Concern, Tara S. Behrend, Richard N. Landers

Personnel Assessment and Decisions

No abstract provided.


Cloud-Based Meta-Analysis To Bridge Science And Practice: Welcome To Metabus, Frank A. Bosco, Piers Steel, Frederick L. Oswald, Krista Uggerslev, James G. Field Dec 2015

Cloud-Based Meta-Analysis To Bridge Science And Practice: Welcome To Metabus, Frank A. Bosco, Piers Steel, Frederick L. Oswald, Krista Uggerslev, James G. Field

Personnel Assessment and Decisions

Although volumes have been written on spanning the science-practice gap in applied psychology, surprisingly few tangible components of that bridge have actually been constructed. We describe the metaBUS platform that addresses three challenges of one gap contributor: information overload. In particular, we describe challenges stemming from: (1) lack of access to research findings, (2) lack of an organizing map of topics studied, and (3) lack of interpretation guidelines for research findings. For each challenge, we show how metaBUS, which provides an advanced search and synthesis engine of currently more than 780,000 findings from 9,000 studies, can provide the building blocks …