Using Generative AI tools in research

The potential impact of generative AI on research is undeniable. Despite the possibilities for greater efficiencies, researchers should carefully consider a variety of factors as they approach using these tools in their work. Generative AI can be applied in many realms of research – proposal writing, manuscript preparation, simulated data generation and modeling, idea development, getting ready for conferences, etc. But should researchers use it? What are the guidelines?     

While Duke has no specific policies on its use, several groups at Duke and beyond have provided resources to guide researchers towards best practices with generative AI.

Discover the resources here and visit often for updates

Topics CoveredResource
  • AI in Health-related Research (predictive and generative) 
  • Imaged-based research 
  • Regulatory considerations 
  • Trustworthiness and AI 
AI and Academic Research Town Hall (April 25, 2023)
  • Guidance for using generative AI in teaching 
  • Guide to writing AI policies 
  • AI Detection software 
AI and Teaching at Duke 
  • AI Health Seminar Series 
  • Workshops and Studios
AI Health Events
  • NIH Notice Prohibiting the use of AI technologies for peer review 
Use of AI Technologies for Peer Review Process - NIH
  • MS Teams interest group for people interested in generative AI in healthcare. 
Generative AI interest group in Teams
  • Author guidelines on use of AI-assisted technology 
ICMJE Guidelines
  • Notice to research community on use of generative AI technologies in the merit/grant review process

NSF notice

NIH notice

Do you know of additional resources of use to the Duke research community? Contact researchinitiatives@duke.edu with ideas.