@article{2bfc6025781845ec9c279c7f57fbfdb6,
title = "Generative AI entails a credit–blame asymmetry",
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.",
author = "{Porsdam Mann}, Sebastian and Earp, {Brian D.} and Sven Nyholm and John Danaher and Nikolaj M{\o}ller and Hilary Bowman-Smart and Joshua Hatherley and Julian Koplin and Monika Plozza and Daniel Rodger and Treit, {Peter V.} and Gregory Renard and John McMillan and Julian Savulescu",
note = "Funding Information: We wish to thank an anonymous reviewer for very helpful and timely suggestions for improvements to an earlier version of this article.",
year = "2023",
doi = "10.1038/s42256-023-00653-1",
language = "English",
volume = "5",
pages = "472--475",
journal = "Nature Machine Intelligence",
issn = "2522-5839",
publisher = "Springer",
number = "5",
}