Bias preservation in machine learning: the legality of fairness metrics under EU non-discrimination law
Western societies are marked by diverse and extensive biases and inequality that are unavoidably embedded in the data used to train machine learning. Algorithms trained on biased data will, without intervention, produce biased outcomes and increase the inequality experienced by historically disadvan...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
West Virginia University
2021
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