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Intersectional Fairness via Mixed-Integer Optimization
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers propose a mixed-integer optimization framework to enforce intersectional fairness in high-risk AI models like finance.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 7 October 2026
- Collected by OneBench
- 8 Oct 2026, 03:02 UK
- Original headline
- Intersectional Fairness via Mixed-Integer Optimization ↗
Stored source excerpt
arXiv:2601.19595v2 Announce Type: replace Abstract: The deployment of Artificial Intelligence in high-risk domains, such as finance and healthcare, necessitates models that are both fair and…
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