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Fairlearn: Assessing and Improving Fairness of AI Systems
Fairlearn: Assessing and Improving Fairness of AI Systems
- Publication Year :
- 2023
-
Abstract
- Fairlearn is an open source project to help practitioners assess and improve fairness of artificial intelligence (AI) systems. The associated Python library, also named fairlearn, supports evaluation of a model's output across affected populations and includes several algorithms for mitigating fairness issues. Grounded in the understanding that fairness is a sociotechnical challenge, the project integrates learning resources that aid practitioners in considering a system's broader societal context.
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2303.16626
- Document Type :
- Working Paper