mlsanityData to 14 Oct 2026

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

arXiv 2312.00506 ↗First posted 1 Dec 2023cs.HC cs.AI econ.GNcited by 167

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Abstract (arXiv)

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.

Key facts. Cited by 167 papers in the map (data through 14 Oct 2026). Builds on 4 of its 42 references that are in the map. First posted on arXiv 1 Dec 2023.

Builds on

4 of 42 references.

References · 4

  1. 2023GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Modelscited by 176
  2. 2023Art and the science of generative AI: A deeper divecited by 95
  3. 2023Art-ificial Intelligence: The Effect of AI Disclosure on Evaluations of Creative Contentcited by 2
  4. 20146 Seconds of Sound and Vision: Creativity in Micro-Videoscited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 13; 2025: 55; 2026: 98.

167 papers.

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  1. 2024Echoes in AI: Quantifying lack of plot diversity in LLM outputscited by 48
  2. 2025We're Different, We're the Same: Creative Homogeneity Across LLMscited by 42
  3. 2024Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluationcited by 41
  4. 2025The Homogenizing Effect of Large Language Models on Human Expression and Thoughtcited by 35
  5. 2024On the Challenges and Opportunities in Generative AIcited by 31
  6. 2025The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Modelscited by 29
  7. 2024Generating Interesting Scientific Ideas using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaderscited by 22
  8. 2025AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guaranteescited by 21
  9. 2024The Use of Generative Search Engines for Knowledge Work and Complex Taskscited by 18
  10. 2025Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creationcited by 14
  11. 2024Large Language Models show both individual and collective creativity comparable to humanscited by 11
  12. 2025From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphorscited by 10
38 more
  1. 2026Can We Predict Before Executing Machine Learning Agents?cited by 10
  2. 2025Diverse, not Short: A Length-Controlled Data Selection Strategy for Improving Response Diversity of Language Modelscited by 9
  3. 2026Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Bookscited by 9
  4. 2026StoryScope: Investigating idiosyncrasies in AI fictioncited by 9
  5. 2026AI Assistance Reduces Persistence and Hurts Independent Performancecited by 9
  6. 2025Readers Prefer Outputs of AI Trained on Copyrighted Books over Expert Human Writerscited by 8
  7. 2025Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Modelscited by 7
  8. 2025Just-In-Time Objectives: A General Approach for Specialized AI Interactionscited by 7
  9. 2024One world, one opinion? The superstar effect in LLM responsescited by 6
  10. 2025Poor Alignment and Steerability of Large Language Models: Evidence from College Admission Essayscited by 6
  11. 2025Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variabilitycited by 6
  12. 2024A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Modelscited by 5
  13. 2025Generative AI and Creativity: A Systematic Literature Review and Meta-Analysiscited by 5
  14. 2025GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Designcited by 5
  15. 2025The Basic B*** Effect: The Use of LLM-based Agents Reduces the Distinctiveness and Diversity of People's Choicescited by 5
  16. 2025Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativitycited by 5
  17. 2025Expertise elevates AI usage: experimental evidence comparing laypeople and professional artistscited by 4
  18. 2025Multi-Novelty: Improve the Diversity and Novelty of Contents Generated by Large Language Models via inference-time Multi-Views Brainstormingcited by 4
  19. 2025Phraselette: A Poet's Procedural Palettecited by 4
  20. 2025Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Conceptscited by 4
  21. 2025Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Redditcited by 4
  22. 2026LLMs Exhibit Significantly Lower Uncertainty in Creative Writing Than Professional Writerscited by 4
  23. 2025Diverse AI Personas Can Mitigate the Homogenization Effect in Human-AI Collaborative Ideationcited by 3
  24. 2025Human-AI Interactions: Cognitive, Behavioral, and Emotional Impactscited by 3
  25. 2026Addressing LLM Diversity by Infusing Random Conceptscited by 3
  26. 2026Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detectioncited by 3
  27. 2026AI generates well-liked but templatic empathic responsescited by 3
  28. 2026(Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliablecited by 3
  29. 2026The One-Word Census: Answer-Choice Conformity Across 105 Language Modelscited by 3
  30. 2023Computational Copyright: Towards A Royalty Model for Music Generative AIcited by 2
  31. 2024The Emerging Generative Artificial Intelligence Divide in the United Statescited by 2
  32. 2024Artificial intelligence and the internal processes of creativitycited by 2
  33. 2025MuseScorer: Idea Originality Scoring At Scalecited by 2
  34. 2025The Architecture of Cognitive Amplification: Enhanced Cognitive Scaffolding as a Resolution to the Comfort-Growth Paradox in Human-AI Cognitive Integrationcited by 2
  35. 2025Style over Story: Measuring LLM Narrative Preferences via Structured Selectioncited by 2
  36. 2025Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Modelscited by 2
  37. 2026Investigating Writing Professionals' Relationships with Generative AI: How Combined Perceptions of Rivalry and Collaboration Shape Work Practices and Outcomescited by 2
  38. 2026Agent-Supported Foresight for AI Systemic Risks: AI Agents for Breadth, Experts for Judgmentcited by 2

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