DataScience Show Podcast

Regulatory Sandboxes for AI: An Executive Playbook to Run Auditable Pilot Programs


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A vivid 20-minute executive primer that turns the abstract promise of a regulatory sandbox into executable actions and ready-to-use artifacts. It opens with a short, specific vignette where a fintech pilot surfaced biased pricing for a customer cohort, drew regulator inquiry, and threatened a major account—setting clear stakes for leaders. Mirko then walks a decision-first blueprint: choosing sandbox candidates, writing regulator-friendly briefs, negotiating scoped permissions, drafting concise customer consent language, instrumenting guardrail telemetry, and building rollback gates. Listeners get two micro-examples inside the episode: a 2-line regulator brief template and a 1-line customer consent blurb, plus a downloadable kit of templates including a pilot brief, metrics CSV, and sample contract clauses. By the end, executives have board-ready metrics, a prioritized 30–90 day checklist, and a one-page incident playbook to rehearse before any external launch.

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DataScience Show PodcastBy Mirko Peters