What happens when artificial intelligence doesn’t make mistakes… but still makes the wrong decisions?

In this episode, we explore a real-world research study where AI systems were tested inside NHS primary care, using real patient data, real medications, and real clinical consequences. The results were surprising: the AI detected almost every risk correctly, yet often struggled with judgment, context, and knowing when to pause.

This conversation isn’t about AI errors or hallucinations. It’s about something deeper overconfidence, premature action, and the difference between following rules and understanding the moment.

We reflect on what this teaches us about intelligence itself, why human hesitation matters, and how the future of responsible AI may depend less on speed and more on restraint.

If you’re interested in:

• AI safety and real-world evaluation

• Responsible AI in healthcare and beyond

• The human side of decision-making

• Why smarter systems still need human judgment

This episode offers a quiet but important perspective on where artificial intelligence is heading and what it still needs to learn from us.