Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning-Reference-Cited by-同舟云学术

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Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning

Published:2020-04-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
language:
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Author:

Kaur Harmanpreet¹,Nori Harsha²,Jenkins Samuel³,Caruana Rich³,Wallach Hanna⁴,Wortman Vaughan Jennifer⁵

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

2. Microsoft Research, Seattle, WA, USA

3. Microsoft Research, Redmond, WA, USA

4. Microsoft Research, New York City, NY, USA

5. Microsoft Research, New York, NY, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3313831.3376219

Reference68 articles.

1. Trends and Trajectories for Explainable, Accountable and Intelligible Systems

2. Regroup

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