Please Stop Explaining Black Box Models for High Stakes Decisions
Please Stop Explaining Black Box Models for High Stakes Decisions
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发表时间：
2018-11
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通讯作者：
C. Rudin
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作者：
C. Rudin
黑箱机器学习模型目前被用于整个社会的高风险决策，在医疗保健，刑事司法和其他领域造成问题。人们希望创造解释这些黑箱模型的方法可以缓解其中的一些问题，但是试图解释黑箱模型，而不是首先创建可解释的模型，很可能会延续不良做法，并可能对社会造成灾难性的危害。有一条前进的道路--设计出内在可解释的模型。
Black box machine learning models are currently being used for high stakes decision-making throughout society, causing problems throughout healthcare, criminal justice, and in other domains. People have hoped that creating methods for explaining these black box models will alleviate some of these problems, but trying to explain black box models, rather than creating models that are interpretable in the first place, is likely to perpetuate bad practices and can potentially cause catastrophic harm to society. There is a way forward - it is to design models that are inherently interpretable.