Responsible AI, Data Foundations and Governance | Responsible AI in Action EP13 with Adrian Hull

Responsible AI requires strong data foundations and governance to succeed at scale. In Episode 13 of Responsible AI in Action, Charles Dimov speaks with Adrian Hull, CEO of Locadium, about why AI adoption fails without proper data, governance, and human oversight. Many organizations are treating AI as a silver bullet. But as Adrian explains, AI introduces probability, not certainty, making governance and data quality critical to success. In this episode, Adrian shares how organizations can move beyond experimentation and build enterprise-ready AI systems grounded in trusted data and responsible practices. _____ Key topics discussed: • Why governance is now non-negotiable in AI • AI as a probabilistic system and its risks • Why AI failures are often data failures • The impact of fragmented systems and shadow IT • Differences between AI pilots and real deployment • Human-in-the-loop and explainability Learn more: https://kama.ai _____ Chapters 00:00 Introduction 00:50 Why governance is now non-negotiable 04:00 AI as a probabilistic system 06:10 The myth of AI as a silver bullet 09:50 AI exposes broken processes 11:00 Data foundations and shadow IT challenges 14:20 AI experimentation vs enterprise deployment 18:30 Responsible AI and human-in-the-loop 23:00 Building trust and explainability 25:00 Closing thoughts _____ Responsible AI AI governance data governance AI data foundations enterprise AI human in the loop AI strategy kama.ai Locadium AI transformation