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对非二进制敏感特征的公平性增强分类方法-如何公平地检测水分系统的泄漏

Janine Strotherm1, Inaam Ashraf1, Barbara Hammer1

  • 1Center for Cognitive Interaction Technology, Universität Bielefeld, Bielefeld, North Rhine-Westphalia, Germany.

PeerJ. Computer science
|December 9, 2024
PubMed
概括

水分系统中的人工智能 (AI) 可能是不公平的. 本研究引入了新的公平性定义和框架,以确保在水系统等关键基础设施中公平的AI决策.

关键词:
不平衡的影响力.机会平等 在机会平等方面.公平的机器学习公平的 公平的 公平的泄漏检测 泄漏检测 泄漏检测 泄漏检测 泄漏检测机器学习是机器学习.水分系统的水分系统.

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