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Governing the Machine
Miriam Vogel, Paul Dongha & Ray Eitel-Porter
AI governance is no longer optional — it's what separates organizations that thrive from those that face regulators, lawsuits, and eroded trust. This microbook breaks down the real risks of deploying AI, from hallucinations to bias to environmental costs, and shows how to build oversight structures that turn a volatile technology into a genuine competitive advantage.
Listen to the intro
Who it is for
For anyone who senses that AI is moving faster than their organization's ability to control it — and wants a clear, practical path to deploying it responsibly without stifling innovation or risking reputation.
Lessons
- Understand why AI governance is a strategic advantage, not just a compliance checkbox.
- Learn how to structure accountability across legal, HR, procurement, and the C-Suite.
- Discover how to build inventories, checkpoints, and technical controls that keep AI systems visible and trustworthy.
Key Takeaways
- Embedding governance from the start of AI development prevents the costly cycle of retiring flawed systems after launch — Admiral Insurance proved that fairer models are also more profitable.
- AI risk is not an IT problem: it spreads instantly into legal, HR, brand, and the boardroom the moment a model misbehaves.
- No single global AI regulation exists, so multinational organizations must navigate Europe's strict risk tiers, America's fragmented enforcement, and a rapidly evolving patchwork of national laws simultaneously.
More knowledge in less time
Listen to the key ideas
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