Fairness in Machine Learning: Against False Positive Rate Equality as a Measure of Fairness
As machine learning informs increasingly consequential decisions, different metrics have been proposed for measuring algorithmic bias or unfairness. Two popular “fairness measures” are calibration and equality of false positive rate. Each measure seems intuitively important, but notably, it is usual...
| Main Author: | |
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| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | Drawer...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Published: |
Brill
2022
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| In: |
Journal of moral philosophy
Year: 2022, Volume: 19, Issue: 1, Pages: 49-78 |
| Further subjects: | B
Fair play
B statistical discrimination B algorithmic bias |
| Online Access: |
Presumably Free Access Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |