A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
Name
3514094.3534130.pdf
Size
1.38 MB
Format
Adobe PDF
Checksum (MD5)
82b94216963c4a761f93df1aae6cf87e
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
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3514094.3534130