The Insurance Law Center at UConn Law, in conjunction with the University of Minnesota Law School, is pleased to welcome academics, practitioners, regulators, and students to a conference focusing on issues that arise at the intersection of insurance and artificial intelligence. We hope you can join us.

To attend (virtually or in-person) please register by May 9th. Registration is free.

8:30a – 9:00a: Registration (30 mins)

9:00a – 9:10a: Opening Remarks (10 mins)

9:10a – 11:10a: Panel One: How can and should insurance influence the law of AI and AI itself? (120 mins)

This panel will explore how liability for AI-related harms should take into account the current and future availability and structure of liability insurance. Key questions include:

• Should AI liability frameworks be designed to avoid exposing potentially judgment-proof firms to uninsurable risks?
• Should governments encourage or mandate liability insurance for firms exposed to specific AI-related risks?
• Should AI liability frameworks incorporate factors insurers can evaluate during underwriting and rating, such as safe harbors for AI systems that perform at least as safely as human-operated systems? 

Ian Ayres (Moderator), Yale Law School
Catherine M. Sharkey, New York University School of Law
Renee Henson, University of Missouri School of Law
Mark Geistfeld, New York University School of Law
Tom Baker, University of Pennsylvania Carey Law School
Kenneth S. Abraham, University of Virginia School of Law
Gabriel Weil, Touro University Jacob D. Fuchsberg Law Center

11:10a – 11:20a:  Break (10 mins)

11:20a – 12:50p: Panel Two: Current and future insurance coverage for AI risks (90 mins)

This panel will explore how the evolution of AI liability will affect insurance markets. Key questions include:

• Will specialized AI liability policies emerge as AI risks evolve?
• To what extent do current liability insurance policies cover AI-related risks, and does this expose insurers to unpriced risks?
• How can insurers obtain consistent and standardized data on AI risks to efficiently underwrite, rate firms, and incentivize risk-reducing innovation?

Travis Pantin (Moderator), University of Connecticut School of Law
Anat Lior, Drexel University Kline School of Law

George Lewin-Smith, Testudo

Laura Foggan, Crowell & Moring LLP
Michael S. Levine, Hunton Andrews Kurth LLP

Josephine Wolff, The Fletcher School at Tufts University

Joan Schmit, University of Wisconsin School of Business

12:50p – 1:00p:  Break (10 mins)

1:00p – 2:00p: LUNCH: Pro-tips on using AI in legal practice (60 mins)

Join us for a lunch session highlighting the latest AI tools designed for legal professionals, with a focus on practical integration into legal practice. The discussion will cover key AI use cases, potential risks and ethical considerations, foundational AI models, and specialized legal models such as Co-Counsel and Vincent. Additionally, the session will present the most recent data and developments in AI to help lawyers navigate this evolving technology responsibly and effectively. Special attention will be given to the ethical obligations of attorneys when adopting AI, ensuring compliance with professional standards and safeguarding client confidentiality. Connecticut and New York CLE credits will be available.

Daniel Schwarcz (Presenter), University of Minnesota Law School

2:00p – 2:10p:  Break (10 mins)

2:10p – 3:40p: Panel Three: Discrimination, bias, insurance and AI (90 mins)

This panel will explore how the use of new types of AI in the insurance industry can and should be regulated. Key questions include:

• When does the use of AI  to discriminate among policyholders raise legal or regulatory issues?
• To what extent should insurance laws and regulations be updated to reflect AI risks?
• How should internal and external audits of insurers evaluate the risks of AI bias and discrimination?
• What problems and opportunities have efforts to regulate AI bias and discrimination surfaced in the insurance setting? 

Daniel Schwarcz (Moderator), University of Minnesota Law School
Anya Prince, University of Iowa College of Law
Cathy O’Neil, O’Neil Risk Consulting & Algorithmic Auditing (ORCAA)
Jason Lapham, Colorado Division of Insurance
Lauren Cavanaugh, American Academy of Actuaries

3:40p – 3:50p:  Break (10 mins)

3:50p – 5:20p: Panel Four: The use of generative AI in insurance coverage drafting, disclosure, and disputes (90 mins)

This panel will explore how generative AI will impact the drafting, interpretation, and disclosure of insurance policy terms. It will also explore the use of generative AI in the context of insurance coverage disputes.  Key questions include:

• How can and should generative AI be used to interpret insurance policies?
• Can generative AI improve policyholder understanding of Insurance?
• Will generative AI disrupt the sale and distribution of insurance?
• How can generative AI be used by insurers and insureds in the resolution of insurance disputes?

Rick Swedloff (Moderator), Rutgers Law School
Warris Bokhari, Claimable
Eric Martínez, University of Chicago Law School
David Snyder, American Property Casualty Insurance Association
Marshall Gilinsky, Anderson Kill

5:20p – 5:30p: Closing remarks (10 mins)

5:30p – 6:20p: Reception (50 mins)