mlsanityData to 7 Oct 2026

Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation

arXiv 2502.18357 ↗First posted 25 Feb 2025cs.HC cs.AI cs.CYcited by 13

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Abstract (arXiv)

AI systems powered by large language models can act as capable assistants for writing and editing. In these tasks, the AI system acts as a co-creative partner, making novel contributions to an artifact-under-creation alongside its human partner(s). One question that arises in these scenarios is the extent to which AI should be credited for its contributions. We examined knowledge workers' views of attribution through a survey study (N=155) and found that they assigned different levels of credit across different contribution types, amounts, and initiative. Compared to a human partner, we observed a consistent pattern in which AI was assigned less credit for equivalent contributions. Participants felt that disclosing AI involvement was important and used a variety of criteria to make attribution judgments, including the quality of contributions, personal values, and technology considerations. Our results motivate and inform new approaches for crediting AI contributions to co-created work.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 34 of its 97 references that are in the map. First posted on arXiv 25 Feb 2025.

Builds on

34 of 97 references.

References · 34

  1. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
  2. 2019GLTR: Statistical Detection and Visualization of Generated Textcited by 490
  3. 2023The Stable Signature: Rooting Watermarks in Latent Diffusion Modelscited by 289
  4. 2022CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilitiescited by 245
  5. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 221
  6. 2023RADAR: Robust AI-Text Detection via Adversarial Learningcited by 187
  7. 2023Generative artificial intelligence enhances creativity but reduces the diversity of novel contentcited by 165
  8. 2021To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-makingcited by 118
  9. 2024Mapping the Increasing Use of LLMs in Scientific Paperscited by 112
  10. 2024A Design Space for Intelligent and Interactive Writing Assistantscited by 76
  11. 2022Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writerscited by 69
  12. 2024"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trustcited by 67
22 more
  1. 2024Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generationcited by 63
  2. 2022Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systemscited by 59
  3. 2024Design Principles for Generative AI Applicationscited by 57
  4. 2022Investigating Explainability of Generative AI for Code through Scenario-based Designcited by 47
  5. 2021Perfection Not Required? Human-AI Partnerships in Code Translationcited by 42
  6. 2024Need Help? Designing Proactive AI Assistants for Programmingcited by 42
  7. 2024The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writingcited by 37
  8. 2024A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedianscited by 29
  9. 2020AI Song Contest: Human-AI Co-Creation in Songwritingcited by 25
  10. 2023ReelFramer: Human-AI Co-Creation for News-to-Video Translationcited by 19
  11. 2024GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agencycited by 18
  12. 2023"It Felt Like Having a Second Mind": Investigating Human-AI Co-creativity in Prewriting with Large Language Modelscited by 15
  13. 2024Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Mediacited by 14
  14. 2023PodReels: Human-AI Co-Creation of Video Podcast Teaserscited by 12
  15. 2023Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Mediacited by 11
  16. 2023Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrotscited by 11
  17. 2024Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributionscited by 9
  18. 2023Mapping the Design Space of Interactions in Human-AI Text Co-creation Taskscited by 6
  19. 2024Writing with AI Lowers Psychological Ownership, but Longer Prompts Can Helpcited by 6
  20. 2024Towards Full Authorship with AI: Supporting Revision with AI-Generated Viewscited by 4
  21. 2024MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videoscited by 2
  22. 2024CoCo Matrix: Taxonomy of Cognitive Contributions in Co-writing with Intelligent Agentscited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 9.

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  1. 2026Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Bookscited by 9
  2. 2025Frankentext: Stitching random text fragments into long-form narrativescited by 8
  3. 2025Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshopcited by 7
  4. 2025Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaborationcited by 3
  5. 2026More Human or More AI? Visualizing Human-AI Collaboration Disclosures in Journalistic News Productioncited by 3
  6. 2025The AI Memory Gap: Users Misremember What They Created With AI or Withoutcited by 2
  7. 2026Who Owns the Text? Design Patterns for Preserving Authorship in AI-Assisted Writingcited by 1
  8. 2026"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Workcited by 0
  9. 2026Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge Workerscited by 0
  10. 2026Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaborationcited by 0
  11. 2026Value Over Language Model: Detecting Original Contribution in Writingcited by 0
  12. 2026Ownership in AI-Assisted Everyday Taskscited by 0
1 more
  1. 2026When No One Owns the Judgment: Accountability Under Contribution Dissolution in Human-AI Collaborationcited by 0