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

Bibliographic Details
Main Authors: Yew, Rui-Jie, Hadfield-Menell, Dylan
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: ACM|Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society 2022
Online Access:https://hdl.handle.net/1721.1/146443
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author Yew, Rui-Jie
Hadfield-Menell, Dylan
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Yew, Rui-Jie
Hadfield-Menell, Dylan
author_sort Yew, Rui-Jie
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spelling mit-1721.1/1464432023-02-16T19:01:15Z A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems Yew, Rui-Jie Hadfield-Menell, Dylan 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 2022-11-15T15:25:37Z 2022-11-15T15:25:37Z 2022-07-26 2022-11-03T12:18:52Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-9247-1 https://hdl.handle.net/1721.1/146443 Yew, Rui-Jie and Hadfield-Menell, Dylan. 2022. "A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems." PUBLISHER_CC en https://doi.org/10.1145/3514094.3534130 Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ The author(s) application/pdf ACM|Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society ACM|Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
spellingShingle Yew, Rui-Jie
Hadfield-Menell, Dylan
A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
title A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
title_full A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
title_fullStr A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
title_full_unstemmed A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
title_short A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems
title_sort penalty default approach to preemptive harm disclosure and mitigation for ai systems
url https://hdl.handle.net/1721.1/146443
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AT yewruijie penaltydefaultapproachtopreemptiveharmdisclosureandmitigationforaisystems
AT hadfieldmenelldylan penaltydefaultapproachtopreemptiveharmdisclosureandmitigationforaisystems