Artificial intelligence is creating new liability exposures, but the more difficult questions happen after the loss occurs. What type of claim is it? Which policy responds? How is liability allocated? And who ultimately bears the risk? We are beginning to see concrete examples of AI-related claims emerge. Allegations involving AI-generated advice, AI-generated defamatory content, and autonomous systems associated with operational losses illustrate how a single AI-related event can raise multiple liability, coverage, and risk-transfer questions.
As these claims evolve, insurers are increasingly confronting losses that do not fit neatly within traditional insurance frameworks, often triggering multiple theories of liability, competing coverage positions, and contractual risk-transfer disputes that raise difficult questions regarding allocation and ultimate responsibility for the loss.
Join John Ewell and Julia Mann for a practical discussion of how AI-related losses move through insurance programs, indemnity provisions, vendor agreements, and litigation. The program will examine how insurers, MGAs, and other sophisticated risk-bearing enterprises are addressing coverage, allocation, and risk-transfer issues arising from losses that often do not fit neatly within traditional insurance frameworks.
Topics will include:
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Coverage and allocation challenges arising from AI-related losses
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How a single AI event can trigger multiple liability theories and competing insurance coverage positions
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Liability migration arising from AI-driven events
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Contractual risk transfer, indemnification, and vendor risk allocation
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AI-generated advice and professional liability exposures
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Operational losses involving business interruption, cyber events, and data-related harm
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Deepfakes, synthetic evidence, and evolving claims and litigation strategies
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Emerging insurance and risk-transfer trends shaping the next generation of AI-related disputes
CE is approved in FL, TX, NC, and NV.
CLE is approved in PA, NY, TX, IL, NV, and CA.
CE/CLE information will be collected when you join the webinar.