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How to Use AI Without It Going Wrong | Ray Eitel-Porter, Author of Governing the Machine
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How can your organisation use AI without it going wrong? With 95% of organisations failing to see a return on their AI investments, this question has never been more pressing for business leaders.
In this episode of Arkaro Insights, I'm joined by Ray Eitel-Porter, co-author of "Governing the Machine: How to Navigate the Risks of AI and Unlock Its True Potential". Ray has spent over eight years helping companies implement AI responsibly. He previously led Accenture's global responsible AI practice and currently advises multinational companies and the public sector. He is also a Senior Research Associate at the Intellectual Forum, Jesus College, Cambridge.
There's a common misconception that AI governance blocks innovation. Ray challenges this view head-on. For him, AI governance is precisely what allows organisations to innovate confidently – the framework that helps you scale AI whilst knowing the right questions have been asked and the right safeguards are in place.
We explore the striking gap between executive ambition and workforce reality: 80% of executives believe AI is core to their strategy, yet only 15% of employees share that belief. Ray shares practical examples of how organisations have closed this gap, including a UK public sector body that transformed workforce trust in AI from 25% to over 90% through effective training.
Ray brings the discussion to life with case studies from PepsiCo, Nestlé, and Shell, showing how AI governance can reinforce brand values and enable responsible scaling across global operations.
We also tackle the shadow AI challenge – up to 90% of employees using personal ChatGPT, Claude, or Gemini accounts for work – and why technical controls alone cannot solve this problem.
Looking ahead, Ray explains why AI agents represent the next frontier of governance risk, and why automation bias – our tendency to over-trust accurate AI – may be the most counterintuitive danger of all.
A key message: AI governance isn't just for large corporates. The principles scale down to SMEs. Where a multinational needs sophisticated platforms, a smaller business might achieve the same ends with clear ownership and an Excel spreadsheet.
About the guest
Ray Eitel-Porter is co-author of "Governing the Machine: How to Navigate the Risks of AI and Unlock Its True Potential", available from Amazon. Connect with Ray on LinkedIn. https://www.linkedin.com/in/rayeitelporter/
About Arkaro Insights
Arkaro Insights is the podcast for B2B executives seeking tools and techniques to thrive in a complex world. We cover change management, innovation, and commercial excellence – with particular expertise in the agriculture, food, and chemicals industries.
Visit www.arkaro.com or connect with us on LinkedIn.
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Chapters
1. Governance As An Innovation Enabler (00:00:00)
2. Meet Ray And Define The Terms (00:02:51)
3. Who Should Lead AI Governance (00:05:48)
4. Closing The Exec–Employee Trust Gap (00:10:12)
5. Case Studies: Training That Builds Confidence (00:14:07)
6. Brand Principles And Authentic Use (00:17:27)
7. Regulation Strategy And The EU AI Act (00:20:14)
8. What Makes Agentic AI Risky (00:24:53)
9. Controls For Agents And Tooling Limits (00:28:57)
10. Hidden Risks: Sustainability And Automation Bias (00:32:08)
11. Human Plus Machine Done Right (00:35:52)
12. Right‑Sizing Governance For SMEs (00:38:17)
13. Where To Learn More And Closing (00:40:47)
45 episodes
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