eprintid: 10195027
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/19/50/27
datestamp: 2024-07-24 15:15:30
lastmod: 2024-07-24 15:15:30
status_changed: 2024-07-24 15:15:30
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Doshi, Anil R
creators_name: Hauser, Oliver P
title: Generative AI enhances individual creativity but reduces the collective diversity of novel content
ispublished: pub
divisions: UCL
divisions: B04
divisions: F49
note: Copyright © 2024 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
abstract: Creativity is core to being human. Generative artificial intelligence (AI)-including powerful large language models (LLMs)-holds promise for humans to be more creative by offering new ideas, or less creative by anchoring on generative AI ideas. We study the causal impact of generative AI ideas on the production of short stories in an online experiment where some writers obtained story ideas from an LLM. We find that access to generative AI ideas causes stories to be evaluated as more creative, better written, and more enjoyable, especially among less creative writers. However, generative AI-enabled stories are more similar to each other than stories by humans alone. These results point to an increase in individual creativity at the risk of losing collective novelty. This dynamic resembles a social dilemma: With generative AI, writers are individually better off, but collectively a narrower scope of novel content is produced. Our results have implications for researchers, policy-makers, and practitioners interested in bolstering creativity.
date: 2024-07-12
date_type: published
publisher: American Association for the Advancement of Science (AAAS)
official_url: https://doi.org/10.1126/sciadv.adn5290
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2297399
doi: 10.1126/sciadv.adn5290
medium: Print-Electronic
lyricists_name: Doshi, Anil
lyricists_id: ARDOS53
actors_name: Doshi, Anil
actors_id: ARDOS53
actors_role: owner
full_text_status: public
publication: Science Advances
volume: 10
number: 28
article_number: eadn5290
event_location: United States
issn: 2375-2548
citation:        Doshi, Anil R;    Hauser, Oliver P;      (2024)    Generative AI enhances individual creativity but reduces the collective diversity of novel content.                   Science Advances , 10  (28)    , Article eadn5290.  10.1126/sciadv.adn5290 <https://doi.org/10.1126/sciadv.adn5290>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10195027/1/Generative%20AI%20enhances%20individual%20creativity%20but%20reduces%20the%20collective%20diversity%20of%20novel%20content.pdf