While most business leaders and data teams are excited about AI, leaders of governance / risk functions (e.g.: security, privacy, legal, ethics, etc.) are concerned about the unintended consequences (risks!) of AI. This lack of alignment is among the main reasons for the slow adoption of AI in large organizations. To address this chasm between AI supporters and detractors, this talk will walk through an operationalizable framework to confidently manage AI risks: • What components make up AI? • How do the subsystems of AI work together as an AI system? • What are the risks of using AI? • What threats can cause each risk to be realized? • Which controls can mitigate each risk? Which AI component do they need to be applied to?
