AI, originality, and attribution: Researchers' perspectives on distinguishing contributions.

Journal: Accountability in research
Published Date: Jul 20, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into research, significantly challenging established scholarly norms around originality, contribution, and authorship. While policies are developing, there is a gap in understanding how individual researchers subjectively perceive and navigate these ambiguities in practice, impacting research integrity.

Authors

  • Yanyi Wu
    School of Public Affairs, Zhejiang University, Hangzhou, China yanyi.wu@hotmail.com.
  • Xinyu Lu
    State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China.
  • Chenghua Lin

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