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The Board’s Role in AI Governance: What CEOs and Directors Need to Know

"Board members tend to read something in the Wall Street Journal, show up at a board meeting, and ask 'Have you thought about AI?'"

This observation from an executive perfectly captures the awkward dance happening in boardrooms around AI strategy. The tension is palpable: board members feel they should provide oversight but aren't sure what questions to ask. Meanwhile, executive teams—still figuring out their own AI approaches—can't turn to boards for guidance and aren't eager to share incomplete plans.

The result? A governance gap during the most transformative technology shift in decades.

I see this problem from both sides. Executives tell me, "My board doesn't know enough about AI to provide meaningful guidance." Board members confide, "I know I should be asking about AI, but I'm not sure what to ask beyond 'Are we doing something?'"

This disconnect means organizations aren't having the strategic conversations they need about how AI aligns with long-term objectives and values.

The AI Governance Ecosystem

When I work with organizations on AI governance, I typically see four interconnected components:

  1. First, there's the AI Council—a small group tasked with setting strategy and ensuring alignment with business goals. This isn't a technical committee; it's a strategic one with representation from across the executive team. 

  1. Second, there are quarterly reviews structured as what I call a "six-quarter walk." Every three months, teams assess progress against an 18-month roadmap, asking: Did we achieve what we planned? Where are we ahead or behind? What assumptions have changed?

  1. Third, there's an ethics function ensuring AI applications align with organizational values. Even with good intentions, AI can create unintended consequences. This group protects long-term values and reputation by identifying risks others might miss.

  1. Finally, there's the board, which sits atop this ecosystem—not to dictate technical decisions but to ask questions that shape how the other elements function.

Three Dimensions of Board Oversight for AI

Board oversight can be organized into three dimensions that mirror broader board responsibilities:

1️⃣ Strategy and structure

Here, the board ensures AI initiatives serve organizational priorities and competitive positioning. They're weighing short-term gains against long-term success, making sure AI investments build sustainable advantage rather than chasing trends.

In this dimension, directors ask questions like: How does our AI strategy support our overall business objectives? How is our AI Council structured? How are we measuring strategic impact? These questions aren't about technical details—they're about alignment and purpose.

2️⃣ Risk and accountability

Boards don't eliminate all risks—that's impossible—but ensure risks are systematically identified and managed. I worked with one board that was initially focused on eliminating all AI risks until they realized their role was to confirm that someone was accountable for assessing and mitigating those risks.

This dimension leads to questions about unique AI risks, ethics function independence, escalation processes, and metrics that track both progress and potential issues. One director beautifully articulated this balance: "Our job isn't to slow down innovation—it's to make sure innovation happens on a foundation that can support its weight."

3️⃣ Organizational readiness 

The board confirms that the right talent, culture, and resources exist to support AI transformation. This includes workforce preparation, cultural evolution, and trust maintenance across stakeholders.

I worked with a board that initially focused exclusively on AI technology investments until they realized their organization lacked the talent and culture to implement them effectively. Their oversight shifted to ensuring these foundational elements were in place before approving further technical investments.

Bridging the Governance Gap

To close this gap between boards and leadership teams, both sides need new approaches.

▶️ For executive teams: Provide quarterly landscape updates that go beyond technical details. One board member shared: "At each quarterly meeting, we get a streamlined update on what's changing in our AI landscape. This keeps us connected without getting into the weeds."

Focus these updates on how AI developments affect strategic goals and long-term success. Make these discussions a regular part of every board meeting, not just when directors specifically request them.

▶️ For board members: Develop independent AI literacy rather than relying solely on executive updates. Another director candidly noted: "The most dangerous boardroom assumption is that the executive team will take care of keeping you informed about AI."

This doesn't mean becoming technical experts. One board I know requires each director to bring something they've learned about AI to their pre-meeting dinner. This creates a learning culture while acknowledging that their role isn't technical mastery.

Board education can take many forms: setting expectations for AI literacy, incorporating learning into the board calendar, establishing external expert resources, or tapping peer networks. The key is taking ownership of this education rather than outsourcing it entirely to the executive team.

The Path Forward

The most effective boards recognize that they aren't technical AI experts—nor should they be. 

When I ask executives what they most need from their boards regarding AI, they rarely mention technical expertise. Instead, they want boards that ask thoughtful, strategic questions that help them clarify their own thinking. They want partners who understand AI's transformative potential without getting lost in technical details.

For executives, this means preparing your board for strategic discussion through regular updates and education. For directors, it means taking responsibility for your AI literacy while staying focused on strategic alignment rather than technical implementation.

Organizations that bridge this governance gap gain a significant advantage in navigating both the opportunities and risks AI presents in the coming years.

Your Turn

If you're an executive, how are you preparing your board to be a strategic ally in your AI journey? If you're a board member, what steps are you taking to develop AI literacy and ensure that the organization is taking a strategic approach to AI?

If this information was helpful, there’s plenty more!

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Charlene Li

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