Generative AI entails a credit-blame asymmetry
Journal article
Porsdam Mann, S., Earp, B.D., Nyholm, S., Danaher, J., Møller, N., Bowman-Smart, H., Hatherley, J., Koplin, J., Plozza, M., Rodger, D., Treit, P.V., Renard, G., McMillan, J. and Savulescu, J. (2023). Generative AI entails a credit-blame asymmetry. Nature Machine Intelligence. 5, pp. 472-475. https://doi.org/10.1038/s42256-023-00653-1
| Authors | Porsdam Mann, S., Earp, B.D., Nyholm, S., Danaher, J., Møller, N., Bowman-Smart, H., Hatherley, J., Koplin, J., Plozza, M., Rodger, D., Treit, P.V., Renard, G., McMillan, J. and Savulescu, J. |
|---|---|
| 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. |
| Keywords | ChatGPT, Large-scale language models, Authorship, AI, Responsibility, Transparency, Rights, Interests, Achievement |
| Year | 2023 |
| Journal | Nature Machine Intelligence |
| Journal citation | 5, pp. 472-475 |
| Publisher | Nature Research |
| ISSN | 2522-5839 |
| Digital Object Identifier (DOI) | https://doi.org/10.1038/s42256-023-00653-1 |
| Web address (URL) | https://doi.org/10.1038/s42256-023-00653-1 |
| Publication dates | |
| Online | 04 May 2023 |
| Publication process dates | |
| Accepted | 06 Apr 2023 |
| Deposited | 24 Apr 2023 |
| Accepted author manuscript | License File Access Level Open |
Permalink -
https://openresearch.lsbu.ac.uk/item/93q8x
Download files
Accepted author manuscript
| Nat mach resubmission 2_final.pdf | ||
| License: Springer Bespoke License | ||
| File access level: Open | ||
578
total views1271
total downloads14
views this month12
downloads this month