Abstract: Researchers across many disciplines are increasingly utilizing artificial intelligence (AI), including large language models such as ChatGPT, to support empirical research and data analysis, academic writing, peer review, and development of new tools. The broad reach of AI in research raises pressing ethical questions about scientific integrity, authorship, data privacy, bias, and equity. This interdisciplinary conference—with experts from a range of disciplines, from biomedical sciences to the humanities—will discuss how AI is being used in research, the challenges it presents to research ethics and integrity, and current guidance on using AI in research and publication.
Conference agenda and speakers
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Sponsored by the University of Minnesota Consortium on Law and Values in Health, Environment & the Life Sciences