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Course Details

This CLE webinar will discuss first- and third-party claims that arise from the use or incorporation of generative AI into business processes or products. The panel will consider the types of losses that might occur, potential causes of action against users and developers, and the potential sources of insurance coverage under legacy policies, under specialty policies for AI or cyber, and the proliferation of AI exclusions.

Faculty

Description

As some renowned commentators have noted, the "damage" occasioned by AI is not actually new, but AI systems are so complex and often involve so many different parties and interactions that determining how harm occurred and who is responsible is challenging. Risk is difficult to mitigate if users cannot fully understand how AI works and what could go wrong.

Generative AI can malfunction, leading to property damage, personal injury, or death. Content that AI creates can violate copyrights. False content or hallucinations can result in defamation, misrepresentation, or fraud claims. Data analysis and decision-making can give rise to claims of bias, bad faith, and breach of privacy.

Insurance covers losses caused by certain things or only if not caused by certain other things in which case the losses are excluded. Policyholders and insurers are grappling with how losses created in whole or in part by generative AI should be covered, and practitioners should understand this developing area.

Listen as our panel discusses coverage issues under legacy policies, under specialty policies for AI or cyber, and the proliferation of AI and other exclusions. 

Outline

I. Types of losses or claims

II. Coverage options under legacy policies

III. Coverage under specialty policies

IV. Emerging exclusions

Benefits

The panel will consider these and other important issues:

  • How are insurance policies adapting to AI risks?
  • What exclusions or limitations in standard policies can leave AI losses uncovered?
  • How are insurers defining AI?