In this week’s Elemental AI: The Briefing podcast, Chris and I unpack what a $99 AI teddy bear can teach boards about governing high‑risk AI.
We use that $99 AI teddy bear as a starting point to discuss why otherwise competent companies can get AI wrong, and what real control looks like when AI is embedded across HR, product, customer service, and every other function.
I break governance down into four practical control layers - IDENTIFY, CLASSIFY, MONITOR, GOVERN - and walk through how boards can turn AI oversight from “we have a policy somewhere” into an operating system for high‑risk AI decisions.
This episode is a concise playbook for making sure someone in your organization can name your highest‑risk AI systems, show evidence they were tested, and point to the person who can shut them down when something goes wrong.
