Insurance in the Cyber/AI Era

As businesses explore how to work with artificial intelligence ("AI"), they must do so in a manner that avoids or limits risk exposure, including understanding how AI affects their products, incorporating measures to create appropriate guardrails for employee use, adequately protect content and data, manage vendors, navigate cybersecurity and privacy issues, and consider existing and anticipated regulations. The evaluation and consideration of businesses' insurance coverage programs are vital to evaluating how to limit exposure to risk, including, but not limited to, the risk associated with product liability, employment practices liability, cyber, directors and officers liability, media liability, professional liability/errors and omissions, property and business interruption, and general liability.

The presenters, Latosha Ellis and Michael Levine, will discuss:

1.  Emerging risk exposures associated with AI

2.  Examples of AI-related claims

3.  Examples of how AI is affecting the cost of litigation

4.  Insurance as a key risk management tool for AI, including traditional and specialized insurance products

5.  Best practices related to AI risk management, including strong indemnification provisions in vendor contracts, applications for coverage, and common exclusions

Learning Objectives:

1. Examine the exposures businesses face related to AI

2. Analyze AI-related claims and examples of how AI is affecting litigation costs

3. Discuss how insurance can protect against AI-related exposures and provide assurances for businesses

4. Consider the best practices for AI risk management