| dc.contributor.author | Yew, Rui-Jie | |
| dc.contributor.author | Hadfield-Menell, Dylan | |
| dc.date.accessioned | 2022-11-15T15:25:37Z | |
| dc.date.available | 2022-11-15T15:25:37Z | |
| dc.date.issued | 2022-07-26 | |
| dc.identifier.isbn | 978-1-4503-9247-1 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/146443 | |
| dc.publisher | ACM|Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society | en_US |
| dc.relation.isversionof | https://doi.org/10.1145/3514094.3534130 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | ACM|Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society | en_US |
| dc.title | A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Yew, Rui-Jie and Hadfield-Menell, Dylan. 2022. "A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems." | |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
| dc.contributor.department | Massachusetts Institute of Technology. Institute for Data, Systems, and Society | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.mitlicense | PUBLISHER_CC | |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
| eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
| dc.date.updated | 2022-11-03T12:18:52Z | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The author(s) | |
| dspace.date.submission | 2022-11-03T12:18:53Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
