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

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