In this episode, Kim Jones sits down with Eric Nagel, a former CISO with a rare blend of engineering, legal, and patent expertise, to unpack what responsible AI really looks like inside a modern enterprise. Eric breaks down the difference between traditional machine learning and generative AI, why nondeterministic outputs can be both powerful and risky, and how issues like bias, hallucinations, and data leakage demand new safeguards—including AI firewalls.

He also discusses what smaller organizations can do to manage AI risk, how tools like code-generation models change expectations for developers, and the evolving regulatory landscape shaping how companies must deploy AI responsibly.

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Check out a companion ⁠⁠blog post⁠⁠ by our very own Ethan Cook, where he breaks down key insights, shares behind-the-scenes context, and highlights research that complements this episode.