“Personhood and AI: Why large language models don’t understand us”
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Properties related to the creative person appear out of discussion for generative AI.
“While several of the properties of press and process might be achieved - or at least simulated - by generative learning solutions, those related to the creative person appear out of discussion (Browning, 2023).”
From On the creativity of large language models (2025) · cites this paper as Browning, 2023
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- Authors
- Browning, J.
- Affiliations
- New York University (US)
- Corresponding author
- Browning, Jacob
- ORCID
- Browning, Jacob
- Venue
- AI & SOCIETY
- Published
- 2023-07-12
- Volume
- 39
- Issue
- 5
- Pages
- 2499-2506
- ISSN
- 0951-5666 (ISSN-L)
- 1435-5655
- OpenAlex
- W4384072911
- Semantic Scholar
- 1eddc37b279552d3206fbc852de82560b49b5feb
- Cited by
- 27
- References
- 30
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 7
- FWCI
- 6.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- AI & Society (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Political Science and International Relations › Literary and Philosophical Studies
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Keywords
- personhood, large language models, moral status of AI, AI autonomy, culpability, offensiveness, commonsense reasoning, human-like intelligence
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