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Abstract
Introduction: Artificial intelligence (AI) is increasingly used in biomedical research, yet limited empirical work has described how researchers use AI tools on collaborative research teams and how they view their role within team-based research. This study examines researchers’ experience with and attitudes toward AI use in collaborative research environments.
Methods: A cross-sectional survey was administered to 178 investigators engaged in collaborative research at the University of Kentucky. Questions assessed AI use across research and communication tasks, team-related decision-making practices, perceived benefits and concerns, and preferences for training and frameworks.
Results: Thirty-nine participants responded (22%). AI use was heterogeneous: 26% had never used AI on research teams, while 42% used it weekly or daily. Nearly half reported that AI use was not discussed within teams prior to starting the work. Participants identified benefits in reducing repetitive tasks but expressed widespread concerns about misinformation, bias, and overreliance. Most participants indicated interest in self-guided training and structured frameworks, with priority topics including data security, ethical use, and practical strategies for team integration.
Discussion: Findings indicate variability in both the use of AI tools on research teams and researchers’ attitudes toward their integration. Results highlight gaps between perceived benefits and current practices and suggest a need for evidence-based training and frameworks that support responsible and effective AI use on collaborative research teams.
Document Type
Article
Publication Date
2026
Digital Object Identifier (DOI)
https://doi.org/10.3389/fpsyg.2025.1720970
Funding Information
The author(s) declared that financial support was not received for this work and/or its publication.
Repository Citation
Slade, Emily; Karnik, Kelsey N.; Phan, Caitline; Hall, Megan E.; Feygin, Yana; and McQuerry, Kristen J., "Artificial intelligence in biomedical team science: perceptions, practices, and training needs" (2026). Biostatistics Faculty Publications. 72.
https://uknowledge.uky.edu/biostatistics_facpub/72
Notes/Citation Information
© 2026 Slade, Karnik, Phan, Hall, Feygin and McQuerry. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.