Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems

As artificial intelligence plays an increasingly substantial role in decisions affecting humans and society, the accountability of automated decision systems has been receiving increasing attention from researchers and practitioners. Fairness, which is concerned with eliminating unjust treatment and...

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Veröffentlicht in:	IEEE ... International Conference on Data Mining workshops S. 137 - 146
Hauptverfasser:	Gursoy, Furkan, Kakadiaris, Ioannis A.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2022
Schlagworte:	algorithm audit algorithmic accountability Artificial intelligence automated decision systems Benchmark testing Conferences Data mining fairness Measurement
ISSN:	2375-9259
Online-Zugang:	Volltext
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