Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
To ensure accountability and mitigate harm, it is critical that diverse stakeholders can interrogate black-box automated systems and find information that is understandable, relevant, and useful to them. In this paper, we eschew prior expertise- and role-based categorizations of interpretability sta...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association for Computing Machinery (ACM),
2022-07-19T15:36:09Z.
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| Subjects: | |
| Online Access: | Get fulltext |