About this episode

Ray Eitel-Porter discusses practical governance of AI in enterprises, emphasizing responsibility and risk management.

Ray Eitel-Porter, former Global Lead for Responsible AI at Accenture and co-author of the new book, Governing the Machine, discusses how enterprises can move from abstract AI principles to practical governance. He emphasizes that organizations can only realize AI's benefits if responsibility is embedded into everyday business processes rather than treated as a standalone compliance exercise. Drawing on his experience leading global data and AI programs, Eitel-Porter explains how the release of ChatGPT transformed enterprise attitudes toward AI, accelerating adoption while exposing risks such as hallucinations, reliability failures, and reputational harm. Effective governance has evolved from static principles to operational controls, including workflow checkpoints, red teaming, and technical guardrails, particularly for generative AI systems with inherently probabilistic outputs. On risk, he stresses that not all AI use cases require the same level of scrutiny; governance should scale with potential impact and harm, focusing on what an AI system is intended to do so that non-technical teams can surface high-risk use cases without incentives to downplay risk. On regulation…

People in this episode

Host: Kevin Werbach

Guest: Ray Eitel-Porter

Topics covered

• AI governance
• responsible AI
• enterprise AI adoption
• risk management
• regulation
• generative AI

Keywords

• AI principles
• business processes
• ChatGPT
• operational controls
• risk scrutiny
• EU AI Act
• GDPR
• generative AI systems

Mentioned in this episode

Organizations: Accenture, EU AI Act, GDPR, United States, UK

Books & works: Governing the Machine

More episodes of The Road to Accountable AI

• Katie Fowler (Thomson Reuters Foundation): How 3,000 Companies Approach AI Governance · April 30, 2026 · 38 min
• Henry Ajder, Latent Space Advisory: Deepfakes and the Crisis of Digital Trust · April 23, 2026 · 39 min
• Phil Dawson, Armilla AI: Insurance for AI Risks · April 16, 2026 · 30 min
• Walter Haydock, StackAware: In Search Of AI Governance Certification · April 9, 2026 · 33 min
• Richa Kaul, Complyance: Asking the Right Questions · April 2, 2026 · 33 min
• Michael Horowitz, UPenn: Governing AI That's Designed to Kill · March 26, 2026 · 34 min

Explore listener stats, chart rankings, contacts and more on the The Road to Accountable AI podcast page.