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Generative artificial intelligence enhances creativity but reduces the diversity of novel content

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arxiv 2312.00506 v3 pith:FU54YK7Q submitted 2023-12-01 cs.HC cs.AIecon.GNq-fin.EC

Generative artificial intelligence enhances creativity but reduces the diversity of novel content

classification cs.HC cs.AIecon.GNq-fin.EC
keywords genaicreativecreativityideasstoriesartificialgenerativehumans
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Creativity is core to being human. Generative artificial intelligence (GenAI) holds promise for humans to be more creative by offering new ideas, or less creative by anchoring on GenAI ideas. We study the causal impact of GenAI on the production of a creative output in an online experimental study where some writers are could obtain ideas for a story from a GenAI platform. Access to GenAI ideas causes an increase in the writer's creativity with stories being evaluated as better written and more enjoyable, especially among less creative writers. However, GenAI-enabled stories are more similar to each other than stories by humans alone. Our results have implications for researchers, policy-makers and practitioners interested in bolstering creativity, but point to potential downstream consequences from over-reliance.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. The One-Word Census: Answer-Choice Conformity Across 44 Language Models

    cs.CL 2026-07 conditional novelty 6.0

    Across 31 open one-word categories, 44 LMs converge extremely (often >80% on one answer), with newest flagships most conformist and persona-tuned models most divergent.

  2. The One-Word Census: Answer-Choice Conformity Across 44 Language Models

    cs.CL 2026-07 conditional novelty 6.0

    Forty-four language models asked to name one thing per category converge on the same modal answers far more than people do, with newest flagships most conformist and persona-tuned models most divergent.