公平学习:评估和提高人工智能系统的公平性

Roman Lutz
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引用次数: 6

摘要

Fairlearn是一个开源项目,旨在帮助从业者评估和提高人工智能(AI)系统的公平性。相关的Python库,也称为fairlearn,支持评估模型在受影响人群中的输出,并包括几个算法来减轻公平性问题。基于对公平是一项社会技术挑战的理解,该项目整合了学习资源,帮助从业者考虑系统更广泛的社会背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fairlearn: Assessing and Improving Fairness of AI Systems
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.
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