"Interpretability, Then What? Editing Machine Learning Models to Reflect ..."

Zijie J. Wang et al. (2022)

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DOI: 10.1145/3534678.3539074

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-10

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  - https://dblp.org/rec/conf/kdd/WangKNSNCVV022
Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana:
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values. KDD 2022: 4132-4142

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