Annual Research Ethics Day Conference 2025 The Ethical Use of Artificial Intelligence in Research: Challenges and Emerging Guidance

---

LIVE

Wednesday, March 5, 2025, 9:00 AM - 3:00 PM CST, Live Webinar

The webinar will be held from 9:00am - 3:00pm Central Time on Wednesday, March 5, 2025.
Times listed on the agenda reflect Central Time, U.S.A.

This course is planned and hosted by the by the Office of the Vice President for Research & Innovation; Consortium on Law and Values in Health, Environment & the Life Sciences; Masonic Cancer Center; and Clinical and Translational Science Institute. For more information or to register visit the course webpage or email [email protected].

Researchers across many disciplines – including medicine and the clinical professions – 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 the use of AI in human subjects research, 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 and writing. Ethical guidance from research institutions, professional organizations, journals, and governmental oversight authorities is only beginning to emerge, and ethical oversight of AI in research remains in flux.

This conference will bring together leading experts from a range of disciplines – from medicine and the biomedical sciences to informatics and computer science – 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, and how to minimize bias in AI and large language 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 from human participants to the 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.

1. Identify ethical issues associated with using AI in research.
2. Describe emerging guidance on use of AI in research design, conduct, and data management.
3. Consult appropriate resources to enable the ethical and responsible use of AI in research.
4. Discuss emerging guidance on the use of AI and large language models (LLMs) in academic writing, scholarly publication, and peer review.
5. Analyze the challenges facing IRBs and other oversight bodies in reviewing research involving AI.

Registration is free. Register online here.

Note you must participate in the live webinar to be eligible to claim credit. Credit will not be made available for viewing the recording.

Credit Designation Statements
American Medical Association (AMA)
The University of Minnesota, Interprofessional Continuing Education designates this live activity for a maximum of 4.75 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.  

Minnesota Board of Continuing Legal Education
This activity has been approved for up to 4.75 Standard Credits by the Minnesota Board of Continuing Legal Education.

CIP Council

The CIP Council has reviewed Annual Research Ethics Day Conference 2025: The Ethical Use of Artificial Intelligence in Research: Challenges and Emerging Guidance and has determined that the following sessions are eligible for a total of up to 4.0 CIP continuing education credit:

• Ethical Use of AI in Research

• Bias & Inclusion -- How should AI/ML tools be developed and used to avoid bias and ensure responsible use?

• Informed Consent – When does use of AI constitute research with human subjects? Do researchers have duties to secure participant consent to the use of AI in a research protocol? Should informed consent address potential uses of AI in secondary research on the data collected?

• Oversight of AI in Research – How should IRBs & other oversight bodies evaluate use of AI in research? Should research oversight programs themselves use AI to evaluate protocols and compliance?

Other Healthcare Professionals
Other healthcare professionals who participate in this CE activity may submit their statement of participation to their appropriate accrediting organizations or state boards for consideration of credit. The participant is responsible for determining whether this activity meets the requirements for acceptable continuing education.

Mitigation of Relevant Financial Relationships

University of Minnesota Continuing Professional Development adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education and has policies in place to ensure balance, independence, objectivity and scientific rigor in all of its educational activities. Any individuals in a position to control the content of a CE activity, including faculty, planners, reviewers or others are required to disclose all financial relationships with ineligible entities; individuals who fail to complete the disclosure in advance of the course are not eligible to be involved in this course. Specific disclosure information will be shared with learners prior to the start of the course. All relevant conflicts of interest have been mitigated prior to the commencement of the activity.

Wednesday, March 5, 2025