On Demand

Essentials

Insurance in the Cyber/AI Era

1h 11m

Created on February 13, 2024

Intermediate

CC

4.9

(1030 reviews)

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Course Price

$79


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Overview

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



Credits

Faculty

Latosha M. Ellis

Latosha M. Ellis

Counsel | Hunton Andrews Kurth LLP

Latosha Ellis is counsel in Hunton Andrews Kurth LLP’s Washington, DC office. She delivers comprehensive end-to-end counsel, providing advice to clients from policy procurement to claims resolution and payment to, if necessary, alternative dispute resolution or litigation of coverage disputes. She regularly advises and represents clients on all major forms of insurance coverage, including cyber, directors and officers liability (D&O), and employment practices liability. Latosha is also an accomplished author and lecturer, frequently speaking on topics related to insurance coverage and risk management at seminars across the country on emerging issues in insurance, including ransomware, insurance and indemnity clauses in third-party contracts, and insurance coverage denials.

Michael S. Levine

Michael S. Levine

Partner | Hunton Andrews Kurth LLP

Michael Levine is a partner in Hunton Andrews Kurth LLP’s Washington, DC office and a leader of the Firm’s Insurance Recovery Practice. He is Legal 500 and Chambers USA-ranked with more than 25 years of experience litigating insurance disputes and advising clients on insurance coverage matters. His practice focuses on complex insurance litigation, arbitration and counseling policyholders on insurance coverage matters involving the recovery of defense costs, claim preparation and disputes, loss valuation, policy renewals and mid-term endorsements, manuscripting and broker liability. Mike is a frequent speaker and is Editor-in-Chief of Coverage, the nationally recognized journal of the Insurance Coverage Litigation Committee of the American Bar Association’s Section of Litigation.

Reviews

4.9

(1030 reviews)

Recent Reviews

The speakers have a more solid grasp of enterprise AI risks and risk management than most technologists. They have a message that should be heard by all organizations adopting AI. Given Federal reluctance to regulate AI and provide safe harbors, this is a critical and timely CLE module.

James M.Jul 25, 2025

very current and pragmatic articulating emerging challenges

Joan R.Jun 12, 2025

Interesting and informative

David J.Mar 3, 2025

Very useful course

Beth S.Nov 15, 2024

Presenters seemed very knowledgeable.

Donald M.Oct 31, 2024

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