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Explore every episode of the podcast Risk Worth Taking

Dive into the complete episode list for Risk Worth Taking. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

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TitlePub. DateDuration
Is Control Really The Objective?15 oct. 202600:15:55

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A national examination body discovers that the people writing its high-stakes exam papers have been working somewhere IT never approved, and never knew about. Nobody involved thought they were doing anything wrong. From that story, Adam and Peter ask why so many organisations reach for control first, who actually decides which technology gets used these days, and whether AI is really a new problem or an old one moving much faster. Along the way they share stories from Microsoft and from the IT departments that found out too late. If your organisation is asking how to control AI, this episode asks whether that is the right place to begin.

Trailer 2 - Risk Worth Taking14 oct. 202600:00:27

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Risk Worth Taking starts from one idea: AI isn’t creating new organisational weaknesses, it is exposing the ones that were already there, faster. Adam Johnson and Peter Barnes explore what that means for ownership, trust and decision-making, and why understanding has to come before control.

Why Are We Having This Conversation?14 oct. 202600:08:32

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Everyone is asking how to control AI. Adam and Peter think that may be the wrong question. In this opening conversation, two hosts from very different backgrounds explain why they keep reaching the same conclusions. Along the way they trade stories about the client who insists their organisation is unique, wonder why an AI discussion always ends up being about people, and ask whether technology was ever really the subject. If you want to know what this series is about, and why the answer may not be what you expect, start here.

Trailer 1 - Risk Worth Taking14 oct. 202600:01:16

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Risk Worth Taking explores what AI exposes inside organisations, from control and ownership to trust and leadership, through conversations with the people who run them.

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