The unfairness of fair machine learning: leveling down and strict egalitarianism by default
In recent years, fairness in machine learning (ML), artificial intelligence (AI), and algorithmic decision-making systems has emerged as a highly active area of research and development. To date, most measures and methods to mitigate bias and improve fairness in algorithmic systems have been built i...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
University of Michigan
2024
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