333: How Leaders Can Harness AI Without Losing Their Humanity

"Augment, don't abdicate." This is one of the key principles that today's guest brings to AI: use it to strengthen human expertise and decision-making, not surrender judgment to it. In this episode, I'm joined by Bennett Borden, Founder and CEO of Clarion AI Partners, to explore why AI adoption is a leadership and human-judgment challenge, not simply a technology rollout.

Bennett is a lawyer and data scientist who advises global enterprises and leading AI developers on deploying AI systems that create real business value while managing risk. Known for translating complex AI developments into practical insights, he helps executives and policymakers understand how to move forward responsibly.

In our conversation, Bennett shares how his path from intelligence work to law and data science shaped his belief that data reflects human conduct and should be handled with care. We discuss the promise and risks of generative and agentic AI, the importance of guardrails, and why he urges us to treat factual answers from AI like testimony from a hostile witness: question the source, seek other viewpoints, and ask for proof.

We also explore Bennett's "Iron Man, not Terminator" approach to using AI to extend human capability rather than replace it. He shares questions leaders can ask to identify pain points, imagine new possibilities, and think more carefully about where AI can add the most value. Tune in for a timely discussion on how to make the most of AI while keeping humanity, responsibility, and care at the center.

Key Points From This Episode:

Introducing Bennett Borden and the question of how leaders can harness AI without losing their humanity. [00:56] Bennett's core AI principles: AI adoption is a leadership problem before it is a technology problem, augment rather than abdicate, and manage risk responsibly. [03:40] How Bennett's study of history led him into intelligence work and data science. [04:58] Why Bennett sees data as a reflection of human conduct and something that must be handled responsibly. [09:10] How automated decision-making systems shape hiring, credit, recommendations, and other parts of daily life. [12:23] Why AI models need legal, ethical, and technical guardrails to reduce harm. [15:12] Bennett's top concern around AI: the rise of agentic AI, emergent behavior, and the need for stronger controls. [23:09] How to question AI outputs, set rules, and avoid accepting answers without proof. [25:47] Bennett's "Iron Man, not Terminator" appro