The “Wobbly” Nature of AI: Governing an Unpredictable Technology

AI governance is the Achilles heel of most enterprises. As organizations accelerate AI adoption, boardrooms face urgent questions about cybersecurity, compliance, resilience, and regulatory risk. In this episode of The AI Forecast, Paul Muller meets with Shoshana Rosenberg, author of “Practical AI Governance: Building a Program for Oversight and Strategy,” and creator of the Prism AI Governance Framework, about how leaders can build adaptable AI governance programs that strengthen their resilience to this susceptibility. Drawing parallels with cybersecurity, Shoshana explains why AI is a “wobbly” technology: predictive, non-deterministic, and fundamentally different from traditional software. She explores why governance cannot be owned by a single department and why boards must shift from a compliance mindset to an organizational strategy rooted in adaptability and AI literacy. Their conversation goes in-depth on: Why AI governance is becoming a board-level responsibility How AI differs from traditional deterministic systems Why resilience and adaptability matter more than box-checking compliance The importance of AI literacy across the organization How to balance innovation with risk management Preparing for the evolving AI regulatory environment Board members, CIOs, legal leaders, and AI governance pros: get practical guidance on building AI governance programs that demand trust, defy regulatory scrutiny, and dominate rapid technological change.   Stay in touch with Shoshana: Shoshana on LinkedIn Shoshana’s website  For more on AI governance and cybersecurity, give this episode a listen: Ep 56 | When AI Moves Fast, Security Can't Lag Behind w/ Jessica Hammond +++ Like and subscribe to The AI Forecast, sponsored by Cloudera, to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast.