An external stability audit framework to test the validity of personality prediction in AI hiring

Automated hiring systems are among the fastest-developing of all high-stakes AI systems. Among these are algorithmic personality tests that use insights from psychometric testing, and promise to surface personality traits indicative of future success based on job seekers’ resumes or social media pro...

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Veröffentlicht in:	Data mining and knowledge discovery Jg. 36; H. 6; S. 2153 - 2193
Hauptverfasser:	Rhea, Alene K., Markey, Kelsey, D’Arinzo, Lauren, Schellmann, Hilke, Sloane, Mona, Squires, Paul, Arif Khan, Falaah, Stoyanovich, Julia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2022 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Audits Chemistry and Earth Sciences Computer Science Data Mining and Knowledge Discovery Information Storage and Retrieval Personality Personality tests Personality traits Physics Psychological tests Quantitative psychology Reliability aspects Special Issue on Bias and Fairness Stability Statistics for Engineering Validity Hiring Validity Personality Stability Reliability Algorithm Audit
ISSN:	1384-5810, 1573-756X
Online-Zugang:	Volltext
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