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[2403.10415] Gradient based Feature Attribution in Explainable AI: A Technical Review

ar5iv.labs.arxiv.org · 18,286 words · saved by 1 readers

The surge in black-box AI models has prompted the need to explain the internal mechanism and justify their reliability, especially in high-stakes applications, such as healthcare and autonomous driving. Due to the lack…

Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Nanyang technological university yongjie002@e.ntu.edu.sg , Tong Zhang Nanyang technological university tong.zhang@ntu.edu.sg , Xu Guo Nanyang technological university xu.guo@ntu.edu.sg and Zhiqi Shen Nanyang technological university zqshen@ntu.edu.sg (2024) Abstract. The surge in black-box AI models has prompted the need to explain the internal mechanism and justify their reliability, especially in high-stakes applications, such as healthcare and autonomous driving. Due to the lack of a rigorous definition of

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