An AI governance council should be able to approve, defer or reject proposals, not merely discuss them, argues Dr Timothy J. Giardino in a Forbes Councils article. His practical blueprint also assigns responsibility to working groups, executive decision-makers and a named owner after approval.
Watch Desk analysis
What happened
Giardino, founder of myWorkforceAgents.ai, draws on his experience establishing an internal digital-transformation council to set out how organisations could govern AI adoption. His recommendations include a written charter, clear authority and escalation routes, and a decision register recording conditions and review dates.
He proposes a working group to investigate needs and make recommendations, a steering committee to authorise and fund work within its mandate, and a named owner accountable for the approved system. For workforce-related AI, he says employees and managers closest to affected processes should have a voice, with dissent recorded rather than quietly filed under “any other business”.
Why it matters
The recommendations turn AI governance from a values statement into a decision process. They also offer a way to compare proposals: Giardino recommends weighted shortest job first, which weighs the cost of delay against the time needed, while stressing that scores do not establish safety, fairness or permission to deploy.
For readers trying to make governance useful, the distinction between recommending, authorising and owning a system is concrete. So is the reminder to fund training, supervision and recovery, not just implementation.
Our read
A council without authority risks becoming a meeting that produces minutes about why nothing can happen. Giardino’s model gives it decisions to make and people to hold responsible afterwards. It is an opinion piece, not a tested universal formula, but the division of duties is a useful starting point.
What to watch
- Whether organisations give councils real authority to pause or retire AI uses.
- Whether employee input changes decisions, rather than simply appearing in the minutes.
- Whether review and recovery are funded alongside deployment.
Discussion spark: Should an AI governance council have the power to stop a project, or should that authority sit with the teams responsible for delivery?
Sources and evidence
- How To Build An AI Governance Council That Can Actually Govern – Forbes (26 October 2026, 11:45 UTC)
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