Research Ethics Week

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March 3 - 7, 2025

Research Ethics Week is an annual week-long series of college and department-led educational opportunities focused on professional development and best practices to promote, maintain, and model high standards of ethics and integrity in research. Join us for the 2025 Research Ethics Week, March 3 - 7, 2025.

Ready to submit your presentation information for Research Ethics Week? Please complete the Research Ethics Week Presentation Submission Form.

Questions about Research Ethics Week? Contact the Research Integrity and Compliance Program ([email protected]).


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Annual Research Ethics Day Conference - The Ethical Use of Artificial Intelligence in Research: Challenges & Emerging Guidance

PRESENTED BY THE RESEARCH & INNOVATION OFFICE; CONSORTIUM ON LAW AND VALUES IN HEALTH, ENVIRONMENT & THE LIFE SCIENCES; MASONIC CANCER CENTER; AND CLINICAL TRANSLATIONAL SCIENCE INSTITUTE, UNIVERSITY OF MINNESOTA
March 5, 2025 – 9:00 AM to 3:00 PM
Register for this event:
z.umn.edu/ResearchEthics2025

Speakers: 

  • Jeannette M. Wing, PhD, Professor of Computer Science; Executive Vice President for Research, Columbia University
  • Mary L. Gray, PhD, Senior Principal Researcher, Microsoft Research; Faculty Associate, Berkman Klein Center for Internet and Society, Harvard University; Associate Professor of Informatics, Luddy School of Informatics, Computing & Engineering, Indiana University
  • Leo Anthony Celi, MD, MSc, MPH, Senior Research Scientist, MIT; Clinical Research Director, Laboratory of Computational Physiology; Staff Physician, Division of Pulmonary, Critical Care & Sleep Medicine, Beth Israel Deaconess Medical Center; Associate Professor of Medicine, Harvard Medical School
  • Judy Wawira Gichoya, MD, MS, Associate Professor of Radiology & Imaging Sciences, Emory University School of Medicine; Co-Director, Healthcare AI Innovation and Translational Informatics (HITI) Lab
  • Isaac S. Kohane, MD, PhD, Editor-in-Chief, NEJM AI Marion V. Nelson Professor of Biomedical Informatics and Chair, Department of Biomedical Informatics, Harvard Medical School
  • David B. Resnik, JD, PhD, Bioethicist, National Institute of Environmental Health Sciences; Senior Advisor for Research Integrity, Office of Intramural Research, National Institutes of Health (NIH)
  • Alex John London, PhD, K&L Gates Professor of Ethics and Computational Technologies; Co-Lead, K&L Gates Initiative in Ethics and Computational Technologies; Director, Center for Ethics and Policy; Chief Ethicist, Block Center for Technology and Society, Carnegie Mellon University
  • Vardit Ravitsky, PhD, President & CEO, The Hastings Center; Senior Lecturer on Global Health & Social Medicine, Harvard Medical School
  • Bradley Malin, PhD, Accenture Professor of Biomedical Informatics, Biostatistics & Computer Science; Vice Chair for Research Affairs, Department of Biomedical Informatics, Vanderbilt University Medical Center
  • Effy Vayena, PhD, Professor of Bioethics, Swiss Federal Institute of Technology (ETHZ)

Researchers across many disciplines are increasingly utilizing artificial intelligence (AI), including large language models (LLMs) 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. Related issues include how trainees and students should be instructed to use and acknowledge the use of AI tools in their research. Ethical guidance from research institutions, professional organizations, journals, and governmental oversight authorities is only beginning to emerge, and ethical oversight of AI in research also remains in flux.

This conference will bring together leading experts from a range of disciplines, from biomedical sciences to the humanities, to confront the challenge of ethical use of AI in research. National leaders will discuss how AI is being used in research, the challenges to research ethics and integrity, current guidance on using AI in research and publication, including how to address concerns that training sets for LLMs may not be sufficiently representative, leading to biased models. Speakers will also debate how LLMs should be used in academic writing and peer review, and how students should use these tools. The conference will consider when and how researchers should seek informed consent to use of AI in research protocols, and how IRBs can effectively provide oversight for research with AI tools. The conference will offer recommendations for researchers, students, administrators, and IRB professionals on how to ensure ethical use of AI in research.

Learn more about The Ethical Use of Artificial Intelligence in Research: Challenges & Emerging Guidance.

Contact [email protected], with questions. 
 


 
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