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  4. A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems

A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems

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Author(s)
Yew, Rui-Jie
•
Hadfield-Menell, Dylan
Date Issued
July 26, 2022
Publisher
ACM|Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
Citation
Yew, Rui-Jie and Hadfield-Menell, Dylan. 2022. "A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution 4.0 International license
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/146443
DOI of Published Version
https://doi.org/10.1145/3514094.3534130
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