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Resolving responsibility gaps for lethal autonomous weapon systems
This paper offers a novel understanding of collective responsibility for AI outcomes that can help resolve the “problem of many hands” and “responsibility gaps” when it comes to AI failure, especially in the context of lethal autonomous weapon systems.
Autor principal: | |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9766649/ https://www.ncbi.nlm.nih.gov/pubmed/36561376 http://dx.doi.org/10.3389/fdata.2022.1038507 |
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author | Smith, Patrick Taylor |
author_facet | Smith, Patrick Taylor |
author_sort | Smith, Patrick Taylor |
collection | PubMed |
description | This paper offers a novel understanding of collective responsibility for AI outcomes that can help resolve the “problem of many hands” and “responsibility gaps” when it comes to AI failure, especially in the context of lethal autonomous weapon systems. |
format | Online Article Text |
id | pubmed-9766649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97666492022-12-21 Resolving responsibility gaps for lethal autonomous weapon systems Smith, Patrick Taylor Front Big Data Big Data This paper offers a novel understanding of collective responsibility for AI outcomes that can help resolve the “problem of many hands” and “responsibility gaps” when it comes to AI failure, especially in the context of lethal autonomous weapon systems. Frontiers Media S.A. 2022-12-06 /pmc/articles/PMC9766649/ /pubmed/36561376 http://dx.doi.org/10.3389/fdata.2022.1038507 Text en Copyright © 2022 Smith. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Big Data Smith, Patrick Taylor Resolving responsibility gaps for lethal autonomous weapon systems |
title | Resolving responsibility gaps for lethal autonomous weapon systems |
title_full | Resolving responsibility gaps for lethal autonomous weapon systems |
title_fullStr | Resolving responsibility gaps for lethal autonomous weapon systems |
title_full_unstemmed | Resolving responsibility gaps for lethal autonomous weapon systems |
title_short | Resolving responsibility gaps for lethal autonomous weapon systems |
title_sort | resolving responsibility gaps for lethal autonomous weapon systems |
topic | Big Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9766649/ https://www.ncbi.nlm.nih.gov/pubmed/36561376 http://dx.doi.org/10.3389/fdata.2022.1038507 |
work_keys_str_mv | AT smithpatricktaylor resolvingresponsibilitygapsforlethalautonomousweaponsystems |