One connector, four scholarly indexes, real DOIs and legal free PDFs. Works in Claude and ChatGPT.
Paste it into Claude or ChatGPT as a custom connector. 3-day free trial.
Anil Rajnikant Doshi, Oliver Hauser
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.
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
Doshi, A. R., & Hauser, O. (2024). Generative AI enhances individual creativity but reduces the collective diversity of novel content. Science Advances, 10(28), eadn5290. https://doi.org/10.1126/sciadv.adn5290
Doshi, Anil Rajnikant, and Oliver Hauser. "Generative AI enhances individual creativity but reduces the collective diversity of novel content." Science Advances, vol. 10, no. 28, 2024, pp. eadn5290, https://doi.org/10.1126/sciadv.adn5290.
Doshi, Anil Rajnikant, and Oliver Hauser. "Generative AI enhances individual creativity but reduces the collective diversity of novel content." Science Advances 10, no. 28 (2024): eadn5290. https://doi.org/10.1126/sciadv.adn5290.
Doshi A. R., Hauser O. Generative AI enhances individual creativity but reduces the collective diversity of novel content // Science Advances. — 2024. — Vol. 10, № 28. — P. eadn5290. — URL: https://doi.org/10.1126/sciadv.adn5290
@article{doshi2024generative,
title = {{Generative AI enhances individual creativity but reduces the collective diversity of novel content}},
author = {Anil Rajnikant Doshi and Oliver Hauser},
journal = {Science Advances},
year = {2024},
volume = {10},
number = {28},
pages = {eadn5290},
doi = {10.1126/sciadv.adn5290},
url = {https://doi.org/10.1126/sciadv.adn5290}
}TY - JOUR AU - Doshi, Anil Rajnikant AU - Hauser, Oliver TI - Generative AI enhances individual creativity but reduces the collective diversity of novel content JO - Science Advances VL - 10 IS - 28 SP - eadn5290 PY - 2024 DA - 2024/07/12 DO - 10.1126/sciadv.adn5290 UR - https://doi.org/10.1126/sciadv.adn5290 ER -
Add Find Research to Claude or ChatGPT and ask in plain language. The assistant reads this record, finds the papers around it and cites only what it actually found:
Setup takes about a minute: add the connector, then start the free trial.
Record from OpenAlex; open-access location from Unpaywall and the indexes. Find Research links only to legal copies.