Concrete Problems in AI Safety, Revisited
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866916100012244992 |
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| author | Raji, Inioluwa Deborah Dobbe, Roel |
| author_facet | Raji, Inioluwa Deborah Dobbe, Roel |
| contents | As AI systems proliferate in society, the AI community is increasingly preoccupied with the concept of AI Safety, namely the prevention of failures due to accidents that arise from an unanticipated departure of a system's behavior from designer intent in AI deployment. We demonstrate through an analysis of real world cases of such incidents that although current vocabulary captures a range of the encountered issues of AI deployment, an expanded socio-technical framing will be required for a more complete understanding of how AI systems and implemented safety mechanisms fail and succeed in real life. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_10899 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Concrete Problems in AI Safety, Revisited Raji, Inioluwa Deborah Dobbe, Roel Computers and Society Artificial Intelligence As AI systems proliferate in society, the AI community is increasingly preoccupied with the concept of AI Safety, namely the prevention of failures due to accidents that arise from an unanticipated departure of a system's behavior from designer intent in AI deployment. We demonstrate through an analysis of real world cases of such incidents that although current vocabulary captures a range of the encountered issues of AI deployment, an expanded socio-technical framing will be required for a more complete understanding of how AI systems and implemented safety mechanisms fail and succeed in real life. |
| title | Concrete Problems in AI Safety, Revisited |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2401.10899 |