Generative AI entails a credit–blame asymmetry
Research output: Contribution to journal › Comment/debate › Research › peer-review
Generative AI programs can produce high-quality written and visual content that may be used for good or ill. We argue that a credit–blame asymmetry arises for assigning responsibility for these outputs and discuss urgent ethical and policy implications focused on large-scale language models.
Original language | English |
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Journal | Nature Machine Intelligence |
Volume | 5 |
Issue number | 5 |
Pages (from-to) | 472-475 |
Number of pages | 4 |
DOIs |
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Publication status | Published - 2023 |
ID: 383103263