AI Trust Talks

Emma Johnson

Join Emma and her guests as they tackle the challenges and opportunities shaping the ethical AI landscape—and discover how we can build a future where technology serves both business goals and the greater good. https://emmajohnson-ai.com/ https://www.instagram.com/ai_trust_talks/ https://www.tiktok.com/@ai_trust_talks

  1. Apr 8

    Code, Control & Consequence: Ray Eitel-Porter and Paul Dongha on Governing AI’s Impact

    AI Governance Isn’t a Constraint — It’s the Enabler of Trust In this episode of AI Trust Talks, Emma Johnson sits down with Ray Eitel-Porter and Paul Dongha, co-authors of Governing the Machine, to answer a critical question: How do we unlock AI’s potential without losing control? With decades of experience across AI, banking, and enterprise systems, Ray and Paul share a clear message: AI without governance doesn’t scale. It risks trust, adoption, and long-term value. As AI grows—from analytics to generative and agentic models—organizations face tension between innovation and risk. Governance isn’t a compliance checklist; it’s a system for building trust into AI from the start. Key topics explored: Responsible AI (principles) vs. AI governance (execution)Embedding governance across the full AI lifecycleNine key AI risk categoriesAccountability with business owners, not just technical teamsCross-functional collaboration: legal, risk, HR, techInsights from the episode: Governance accelerates, not slows, innovationAI risks (bias, explainability, sustainability) are real and must be managedEarly-stage checkpoints and ethics councils prevent costly mistakesAI literacy across teams is essentialAI is probabilistic, not “intelligent”—human oversight is crucialTrust comes from the people, processes, and standards behind AI, not the system itselfRay and Paul also highlight a growing blind spot: AI’s environmental impact. As adoption scales, energy use and carbon emissions will become central to responsible AI. Bottom line:Organizations that succeed with AI won’t just be the most innovative—they’ll be the most trusted. Governance isn’t optional; it’s the foundation of AI success. About the Authors Ray Eitel-Porter – Responsible AI leader, former Global Lead at AccenturePaul Dongha – Expert in embedding governance and ethical frameworks in large organizationsAbout AI Trust TalksHosted by Emma Johnson, the show explores leadership, governance, and human systems behind responsible AI. ✔️ Subscribe for more insights on AI leadership✔️ Share with teams deploying AI✔️ Comment: Is your AI strategy built on trust—or just speed?

    Code, Control & Consequence: Ray Eitel-Porter and Paul Dongha on Governing AI’s Impact

About

Join Emma and her guests as they tackle the challenges and opportunities shaping the ethical AI landscape—and discover how we can build a future where technology serves both business goals and the greater good. https://emmajohnson-ai.com/ https://www.instagram.com/ai_trust_talks/ https://www.tiktok.com/@ai_trust_talks