The Two AI Conversations Boards Need to Separate

When people say "AI governance," they're often collapsing two genuinely different conversations into one. Separating them makes the topic easier to navigate, and it's the lens I'll be using for every article in this series.

Two Conversations, Not One

Conversation 1. Governance OF AI

This is about overseeing how your company uses AI, making sure it isn't creating problems for the organization, such as bias, data privacy issues, regulatory exposure, or vendor risk. This applies whether or not your company has a formal AI strategy, because AI is already in use somewhere in the business. 

Conversation 2. Governance WITH AI

This is about using AI as a tool to make the board's own work better: meeting prep, document summarization, scenario planning, agenda drafting, and more. It's a conversation about your own workflow and effectiveness as a board.

The First Conversation Is Not Optional

Directors may assume that if their company isn't an AI company then governance OF AI isn't relevant to them. They think of AI as something the company would have to deliberately adopt as a strategic initiative. Under that assumption, governance OF AI feels like a future problem, and governance WITH AI doesn't register at all.

But AI shows up long before anyone puts it on the board agenda: HR software that screens résumés, customer service chatbots, fraud detection systems your bank or payment processor already runs, marketing platforms that optimize ad targeting. None of these require a company to have declared "we're doing AI." They have quietly become a part of how the business runs.

A board's oversight duty shouldn't begin only once there's a strategy announcement. If AI is already embedded in HR, finance, or customer-facing systems, the same risks (data privacy exposure, algorithmic bias, reputational risk if something goes wrong) apply whether or not anyone has named them. That's the governance OF AI conversation, already underway, whether your board has opened it or not.

The Second Conversation Is an Opportunity

Industry voices are increasingly pointing to the governance WITH AI as the bigger missed opportunity. Diligent CEO Brian Stafford said in a recent interview that most boardroom conversations focus on controlling AI, when the real upside may lie in using AI to strengthen governance itself by surfacing risks earlier and giving directors clearer visibility into what matters most.
Instead of a director wading through a dense, 200-page board pack the night before and hoping the important thing doesn't get buried, AI-assisted board tools can deliver a plain-language summary and flag which sections warrant a close read, acting as a triage when board members are given insufficient time to digest the materials. 

Both conversations matter, but they come with different questions, owners, and levels of urgency — which is why it helps to know which one you're in before you start. 

AI Vocabulary

You don't need to be an expert to have either conversation well, but a little vocabulary can help with both conversations and will be useful as we progress through the series. 

Artificial Intelligence (AI) is the broad umbrella term for computer systems that perform tasks normally requiring human intelligence: recognizing patterns, making predictions, generating content.

Machine Learning (ML) is a subset of AI that learns patterns from data rather than following explicit rules. For example, a fraud-detection tool that improves the more transaction data it sees is a machine learning system.

Generative AI refers to tools like ChatGPT, Claude, and Gemini, which generate new content rather than simply classifying or predicting.

You don't need a technical understanding of how these systems work, but you should be able to recognize what kind of system you're dealing with, since it shapes which conversation the tool belongs to, and what kind of risk or opportunity it represents.

What's Coming This Month

Here's the roadmap for the weeks ahead, organized around the two-conversation framework:

Governance OF AI:

• AI Risk, Explained Simply - a plain-language look at what to watch for: bias, privacy, over-reliance, and reputational exposure.
• Does Your Board Need an AI Expert? - the debate over board composition in the AI era, and whether dedicated expertise is necessary.
• 10 Questions Every Board Should Ask Management About AI - a practical, shareable checklist for your next meeting.

Governance WITH AI:

• Board Portal Tools - a look at how AI is already inside board portals, and what it can do for your own meeting prep.
• AI-Assisted Scenario Planning - how boards are starting to use AI to stress-test strategy and prepare for a range of future scenarios.