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Why Agentic AI Is Risky

Why Agentic AI Is Risky

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In this eye-opening episode of Call Me Data, David Gleason and Peter Memon sit down with Mery Zadeh, SVP of AI Governance at Luminova, to discuss the critical but overlooked risks of agentic AI systems. They explore what happens when AI agents are given goals — not tasks — and why traditional risk frameworks fail to keep up.
From NVidia’s dominance in the AI chip market to real-world agent failures, Mery shares insider strategies on building trust, implementing guardrails, and why companies must evolve from black boxes to "black box recorders." This is a must-watch for tech leaders, compliance officers, and developers navigating the frontier of autonomous systems.

00:00 - Introduction and AI Market Overview
05:53 - Understanding Agentic AI and Its Risks
11:42 - Governance and Trust in Agentic AI
16:04 - Technical Controls & Human Oversight
20:56 - Navigating AI Governance & Compliance
27:18 - The Role of Diverse Perspectives in AI
30:49 - Success Stories and Risks of AI Agents
36:56 - Monitoring and Managing AI Behavior
41:56 - Frameworks & Regulations for AI Governance
47:34 - The Cost of Compliance in Banking
48:38 - Regulatory Moats: Help or Hindrance?
50:35 - How Regulations Impact Startups
51:38 - Balancing Regulation and Innovation
54:09 - Public Safety and the Role of AI Policy
57:45 - Establishing Accountability in AI Systems
01:00:24 - The Complexity of AI Liability
01:02:12 - Best Practices for AI Governance

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