(00:00:00) Welcome to Datascience Dot Show

(00:00:26) The Importance of AI Incident Simulations

(00:02:22) Four High-Impact AI Scenario Families

(00:03:32) Designing Effective Tabletop Exercises

(00:04:05) Defining Decision Gates and Roles

(00:05:52) Measuring Readiness and Post-Mortems

(00:07:28) Implementing a 90-Day Rollout Plan

(00:08:13) Actionable Steps and Closing Remarks

(00:08:53) Downloadable Resources

(00:09:26) Subscription and Next Episode

Organizations prepare for cyber incidents but rarely rehearse AI-specific failures—model drift, hallucinations in customer agents, pricing errors, or biased automated decisions. In this monologue Mirko delivers a practical C‑suite playbook for designing and running AI incident simulations and tabletop exercises that make abstract risks operationally manageable. He explains how to choose scenario scope and severity, create realistic triggers, assign clear decision gates and escalation paths, coordinate legal/comms/regulatory playbooks, and measure readiness with board-ready metrics. Through concise anonymized vignettes Mirko highlights trade-offs (high-impact/low-probability vs frequent operational faults) and shows how to convert exercise outcomes into governance changes, funding requests, and measurable SLA improvements. Listeners receive a prioritized 30–90 day rollout plan, a tabletop script template, and guidance for turning simulations into continuous improvement. This episode is for executives who need AI systems that are resilient, auditable, and decision-ready without adding bureaucracy.

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I share practical AI leadership notes on LinkedIn — the kind you can forward internally or reuse in executive discussions.
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