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AI and Psychometrics: Epistemology, Process, and Politics

Authors :
Ezekiel Dixon-Román
Source :
Journal of Educational and Behavioral Statistics. 2024 49(5):709-714.
Publication Year :
2024

Abstract

If psychometrics has long concerned itself with validity, reliability, and fairness, then what could psychometrics learn from the cybernetic theories of AI? Through engagement with Burstein's (2023) Responsible AI Standards, this paper unpacks some paradigmatic differences between psychometrics and cybernetics, points to how recursivity and contingency are both a challenge and opportunity for psychometrics, and how this matters epistemologically, ethically and politically. Following these epistemological differences, the paper raises ethico-political concerns with the promise of the "human-in-the-loop".

Details

Language :
English
ISSN :
1076-9986 and 1935-1054
Volume :
49
Issue :
5
Database :
ERIC
Journal :
Journal of Educational and Behavioral Statistics
Publication Type :
Academic Journal
Accession number :
EJ1442655
Document Type :
Journal Articles<br />Reports - Descriptive
Full Text :
https://doi.org/10.3102/10769986241280623