AI can draft, summarise, and sound authoritative in seconds.

But it doesn’t understand what it’s saying.

In this episode of The Unknown Knowns, Dr Angela Lewis explores the real role of AI in intelligence and decision-making—and where it quietly goes wrong. From reinforcing flawed assumptions to projecting confidence without competence, generative AI is not a neutral tool. It is a pattern engine that reflects and scales human bias.

The core role of the analyst hasn’t changed: making meaning under uncertainty, calibrating risk, and owning consequences. What has changed is speed—and with it, the margin for error.

This episode examines why prompt discipline matters, how unexamined assumptions get amplified, and why fluency should never be mistaken for insight. AI can expand your thinking. It cannot replace your judgment.

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