Why AI Governance Keeps Failing - and the Framework That Fixes It with Mark Khater

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Is your organization treating AI governance like a simple checklist or a high-level strategy? In this episode, AI pioneer Mark Khater reveals why most governance models fail and introduces a framework that actually works.

Learn how to move from a technology push to a strategic technology pull that prioritizes human judgment over machine speed.

Join host Boris Agranovich as he interviews Mark Khater, a Cambridge academic and AQM Squared (AQM²) CEO with three decades of experience in artificial intelligence. Together, they explore the EDGE framework, Empathy, Data, Governance, and Execution, and discuss why embedding these values from the start is the only way to avoid organizational failure.

Mark shares his unique perspective on why machines think fast but humans think deep, and how over-reliance on AI can lead to correlated decision-making errors across an entire company. We also dive into the geopolitical risks of data sovereignty and the importance of maintaining human empathy in an increasingly automated world. Whether you are a CEO or a risk manager, this conversation provides a roadmap for navigating the complex intersection of leadership and AI. 

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