ERIC Number: EJ1442655
Record Type: Journal
Publication Date: 2024-Oct
Pages: 6
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1076-9986
EISSN: EISSN-1935-1054
AI and Psychometrics: Epistemology, Process, and Politics
Journal of Educational and Behavioral Statistics, v49 n5 p709-714 2024
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".
Descriptors: Artificial Intelligence, Psychometrics, Theories, Standards, Cybernetics, Epistemology, Ethics, Politics
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A