Insight for leaders governing AI.

Practical, in-depth perspectives on AI governance, risk, oversight, vendors and assurance—written for the people accountable for responsible AI.

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AI & Public Policy · 13 min read

When the Worker Is an Algorithm: AI, Labor Displacement, and the Coming Tax Debate

The American tax system was built for human workers. As AI agents perform more economically productive work, what happens to payroll taxes, the productivity dividend and the future of public finance?

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Higher Education · 14 min read

AI Governance in Higher Education: Why It Matters and How to Put It to Work

From coursework and research to advising and campus operations, AI is already part of institutional life. Here is a practical path from scattered adoption to accountable use.

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Strategy · 12 min read

AI Governance for the US Mid-Market: A Practical Playbook

AI is already inside the business. Here is how a mid-sized organization can see it, assess it and govern it without building an enterprise-sized bureaucracy.

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Visibility · 9 min read

You Can't Govern What You Can't See: Building an AI Inventory That Lasts

Every governance program starts with a single question—what AI do we actually use? Here is how to answer it and keep the answer current.

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Risk · 10 min read

Risk Tiering for AI: Matching Oversight to Actual Impact

Not every chatbot needs a committee review. A clear tiering model lets you move fast on low-risk uses and slow down where it matters.

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Leadership · 9 min read

What Boards Should Ask About AI—and What Good Answers Look Like

Directors don't need to understand transformers. They need clear accountability, the right metrics and confidence that management has a plan.

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Vendors · 9 min read

Third-Party AI: Governing the Models You Didn't Build

Most enterprise AI arrives inside vendor products. Your accountability doesn't end at the contract—here's how to extend governance to suppliers.

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Assurance · 9 min read

Audit-Ready AI: Turning Governance Into Evidence

Policies describe intent. Evidence proves practice. Build the habit of collecting proof as work happens, not the week before the audit.

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