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公平意识的机器学习工程:我们有多远?

Carmine Ferrara1, Giulia Sellitto1, Filomena Ferrucci1

  • 1Software Engineering (SeSa) Lab, University of Salerno, Salerno, Italy.

Empirical software engineering
|November 29, 2023
PubMed
概括

机器学习中的公平性在软件工程中经常被忽视. 一项调查显示,公平被视为次要问题,强调需要更好的工具和方法来确保公平的AI发展.

关键词:
经验软件工程是经验软件工程.机器学习 机器学习从从业者的角度来看.软件的公平性 软件的公平性调查研究调查研究研究.

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