Data's Impact on Algorithmic Bias

Data's Impact on Algorithmic Bias

Algorithmic bias refers to systematic and structured errors in an artificial intelligence system that generate unfair results and inequalities. This column discusses how bias in algorithms appears, amplifies over time, and shapes people’s thinking, potentially leading to discrimination.

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Bibliographische Detailangaben
Veröffentlicht in:Computer (Long Beach, Calif.) Calif.), 2023-06, Vol.56 (6), p.90-94
Hauptverfasser: Shin, Donghee, Shin, Emily Y., Ahmad, Norita, Chauhan, Preeti
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial intelligence
Bias
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Beschreibung
Zusammenfassung:Algorithmic bias refers to systematic and structured errors in an artificial intelligence system that generate unfair results and inequalities. This column discusses how bias in algorithms appears, amplifies over time, and shapes people’s thinking, potentially leading to discrimination.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2023.3262909