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Jun, 2020
可解释人工智能(XAI)中的机遇与挑战: 一份调查
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
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Arun Das, Paul Rad
TL;DR
本文介绍了深度学习中可解释人工智能技术(XAI),提出了技术分类法并介绍了方法学、范畴和应用层次等主要原则,旨在建立可信、可解释和自说明的深度学习模型。此外,通过八种不同的可解释人工智能算法对图像数据进行了评估,讨论了这种方法的局限性,并提出了未来改进的潜在方向。
Abstract
Nowadays,
deep neural networks
are widely used in mission critical systems such as healthcare, self-driving vehicles, and military which have direct impact on human lives. However, the black-box nature of
deep neural ne
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