The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other?
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866929414321733632 |
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| author | Mokander, Jakob Juneja, Prathm Watson, David Floridi, Luciano |
| author_facet | Mokander, Jakob Juneja, Prathm Watson, David Floridi, Luciano |
| contents | On the whole, the U.S. Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic approach to balancing the benefits and risks of automated decision systems. Yet there is still room for improvement. This commentary highlights how the US AAA can both inform and learn from the European Artificial Intelligence Act (EU AIA). |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2407_06234 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other? Mokander, Jakob Juneja, Prathm Watson, David Floridi, Luciano Computers and Society Artificial Intelligence On the whole, the U.S. Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic approach to balancing the benefits and risks of automated decision systems. Yet there is still room for improvement. This commentary highlights how the US AAA can both inform and learn from the European Artificial Intelligence Act (EU AIA). |
| title | The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other? |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2407.06234 |