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Research literature / Journal article

How Interpretable Is “Interpretable” Machine Learning?

Ho Chit Siu; Kevin Leahy; Makai Mann

Published
Publisher
PubPub
Journal / collection
MIT Case Studies in Social and Ethical Responsibilities of Computing
Research area
AI & compute
Source type
Journal article
DOI
10.21428/2c646de5.9e0237cb

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Ho Chit Siu; Kevin Leahy; Makai Mann. How Interpretable Is “Interpretable” Machine Learning?. MIT Case Studies in Social and Ethical Responsibilities of Computing. 2024-02-27. https://doi.org/10.21428/2c646de5.9e0237cb

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