Do the ends justify the means?: variation in the distributive and procedural fairness of machine learning algorithms
Recent advances in machine learning methods have created opportunities to eliminate unfairness from algorithmic decision making. Multiple computational techniques (i.e., algorithmic fairness criteria) have arisen out of this work. Yet, urgent questions remain about the perceived fairness of these cr...
Authors: | ; ; ; |
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Format: | Electronic Article |
Language: | English |
Check availability: | HBZ Gateway |
Journals Online & Print: | |
Fernleihe: | Fernleihe für die Fachinformationsdienste |
Published: |
Springer Science + Business Media B. V
2022
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In: |
Journal of business ethics
Year: 2022, Volume: 181, Issue: 4, Pages: 1083-1095 |
Further subjects: | B
Distributive fairness
B Procedural Fairness B Fair play B Aufsatz in Zeitschrift B Algorithm design B machine learning |
Online Access: |
Presumably Free Access Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |