Autor: |
Doshi AR; Department of Strategy and Entrepreneurship, UCL School of Management, London, UK., Hauser OP; Department of Economics, University of Exeter, Exeter, UK.; Institute for Data Science and Artificial Intelligence, University of Exeter, Exeter, UK. |
Jazyk: |
angličtina |
Zdroj: |
Science advances [Sci Adv] 2024 Jul 12; Vol. 10 (28), pp. eadn5290. Date of Electronic Publication: 2024 Jul 12. |
DOI: |
10.1126/sciadv.adn5290 |
Abstrakt: |
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. |
Databáze: |
MEDLINE |
Externí odkaz: |
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