Two years ago, we outlined how directors should think about oversight of AI-related risks.  Since then, we have seen a steady increase in AI projects that sit squarely inside our clients’ core business functions, which raises three board oversight issues that we discuss in this Debevoise Data Blog update: (1) identifying core AI projects, (2) assigning specific management responsibility, and (3) peer benchmarking.

  1. Identifying Core AI Projects

Corporate boards should consider asking management to provide them with periodic briefings on any major AI project that involves a core business operation of the company, including projects that are anticipated to significantly impact revenue, core risk or legal compliance controls, or large-scale customer experiences.

  1. Designating a Senior Owner

Many substantial enterprise AI projects involve multiple senior stakeholders (e.g., CFO, COO, CCO, CLO, CIO, CRO, etc.) but it is often unclear to the board who is responsible for overall risk management. For cybersecurity, some companies have solved this lack of clear ownership by having a Chief Information Security Officer (“CISO”) with a dotted reporting line directly to Audit Committee. Accordingly, the board should consider asking management to designate one senior executive or committee who is responsible to the board for risk management and reporting for all core AI projects, perhaps allowing for a different person or committee to be designated, as appropriate, for certain key projects. As with cybersecurity, for AI, clear ownership of mission-critical risks, if any, reduces the chances of gaps and speeds up escalation and decision-making when issues arise.

  1. Peer Benchmarking

As part of any reporting on core AI projects, boards should consider asking management to identify similar projects undertaken by other companies in the same industry and explain, if knowable, what risk-management controls those companies have adopted.

Bottom line: Knowing about core AI projects, having a designated senior owner of risk, and tracking similar projects at peers will position directors to help their companies capture AI’s upside while managing the risks that come with adding AI to the heart of the enterprise.

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The cover art used in this blog post was generated by ChatGPT 4o.

Author

Charu A. Chandrasekhar is a litigation partner based in the New York office and a member of the firm’s White Collar & Regulatory Defense and Data Strategy & Security Groups. Her practice focuses on securities enforcement and government investigations defense and cybersecurity regulatory counseling and defense. Charu can be reached at cchandra@debevoise.com.

Author

Avi Gesser is Co-Chair of the Debevoise Data Strategy & Security Group. His practice focuses on advising major companies on a wide range of cybersecurity, privacy and artificial intelligence matters. He can be reached at agesser@debevoise.com.

Author

Gordon Moodie is a partner in the firm’s New York office and member of the Mergers & Acquisitions Group, Private Equity Group and the Technology, Media and Telecommunications Group, as well as the Public Company Advisory Group and Corporate Governance practice

Author

William Regner is Deputy Chair of the firm’s Corporate Department and a member of the firm’s Mergers & Acquisitions, Technology, Media & Telecommunications, Financial Institutions and Corporate Governance Groups. He focuses on public company transactions and corporate governance matters and advises boards, special committees and senior management on governance issues, including activist challenges and risk management. He has experience across many industries but is particularly active in the TMT and asset management sectors. He also regularly represents investment banking firms in their roles as financial advisors in major transactions.

Author

Patty is a virtual AI associate in the Debevoise Data Strategy and Security Group. She was created on May 3, 2025, using OpenAI's o3 model.