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Paper Presentation

Diversity, Disparity, and Inclusion

Session: AI: Design and Oversight

Exploring Community Perspectives on Artificial Intelligence in Healthcare: Insights from Virtual Deliberations

Thursday, October 23, 2025
3:15 PM - 4:15 PM Pacific Time
Location: B110-111
Reema Hamasha – University of Michigan Medical School; Jodyn Platt – University of Michigan Medical School; Morgan Sielaff – University of Michigan Medical School; Sean Tan – University of Michigan Medical School

  • Kerry A. Ryan

    Research Area Specialist Lead
    University of Michigan Medical School
    Ypsilanti, Michigan

Abstract: As artificial intelligence (AI) becomes increasingly integral to healthcare, it is important to engage patients and communities to gather their perspectives on the use of this technology. Working with community partners, we conducted a series of virtual public deliberations in 2024 to explore community perspectives about the use AI in healthcare.

We recruited participants across Michigan with a particular focus on under-served communities, including rural, Middle Eastern/North African (MENA), and African American community members (5 deliberations, total n=159). For each virtual deliberation, participants were provided with educational materials and expert presentations about AI, its applications in healthcare, and the ethics and policies related to its use.

The deliberations included facilitated small groups in which participants shared their expectations, hopes and concerns about the use of AI in healthcare. In these discussions, participants emphasized the importance of safety and effectiveness, privacy and security, and the need for AI tools to work for all patients.

After our final deliberation, as part of our ongoing community engagement, we invited participants, community partners, and experts in AI implementation and policy to a virtual townhall to share the deliberation results and to provide community members and experts the opportunity to hear from each other and offer feedback about the findings.

In this presentation, we will share the results from the deliberations and townhall feedback, highlighting how community engagement can inform educational and policy recommendations to promote a more transparent and equitable use of AI in healthcare.

Keywords: Artificial Intelligence (AI), Community Engagement, Transparency

Learning Objectives:

After participating in this conference, attendees should be able to:
  • At the end of this session, attendees will be able to describe the process of engaging diverse communities to gather insights on the use of AI in healthcare.
  • At the end of this session, attendees will be able to identify key concerns and priorities of under-served communities regarding AI tools in healthcare.
  • At the end of this session, attendees will be able articulate how community deliberations can inform policies and patient education programs.