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Journal Article

Generative AI entails a credit-blame asymmetry

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Treit,  Peter V.
Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society;

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Citation

Porsdam Mann, S., Earp, B. D., Nyholm, S., Danaher, J., Moller, N., Bowman-Smart, H., et al. (2023). Generative AI entails a credit-blame asymmetry. Nature Machine Intelligence, 5, 472-475. doi:10.1038/s42256-023-00653-1.


Cite as: https://hdl.handle.net/21.11116/0000-000D-3D06-9
Abstract
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.