Internalizing AI Governance: The Practical Thinking So Far

Clients, recent speaking engagements, the explosion of state AI regulation and guidance from financial authorities have all forced me to think and re-think how companies should practically approach their AI governance.

On the one hand, AI-powered tools promise to advance productivity for most tech-powered companies, and most companies find themselves eager to harness the power of these solutions. On the other hand, the regulatory, legal, and reputational risks are increasingly non-trivial, including the potential for private litigation and enforcement, failed customer engagement strategy, and other challenges.

The answer, in part, lies in the possibility of building repeatable processes around the assessment and decision to deploy AI, wherever and however it may be deployed within an organization. It is time to move beyond governance policies and documents that exist – untouched and unused, for all purposes dead and inert – on a shelf. This article instead offers a few emerging