Building Trustworthy AI for Research Compliance and Security

Thursday, April 30, 2026 | 2:15PM–3:00PM PT | Pacific Ballroom B, Second Floor
Session Type: Breakout Session
Delivery Format: Presentation/Panel
Live Demonstration: Walk through of chatbot interfaces showing prompts, responses, and escalation protocols. Q&A Framework: Structured question periods after each section using digital tools for anonymous submission to encourage candid discussion of implementation concerns .Resource-Sharing: Implementation templates, stakeholder engagement guides, and technical documentation for adaptation to institutional contexts.

Presenters

  • Louis Daher

    Data Security Analyst - College of Engineering, University of Michigan-Ann Arbor

  • Tommy Tunks

    Research Data Security Analyst - Information Assurance, University of Michigan-Ann Arbor

Resources & Downloads

  • Building Trustworthy AI for Research Compliance and Security Slide Deck

    Updated on 4/20/2026

  • Building Trustworthy AI for Research Compliance and Security Session Handout

    Updated on 4/20/2026