When AI systems hallucinate, run amok, or fail catastrophically, the consequences for enterprises can be devastating. In this must-watch CXOTalk episode, discover how to anticipate and prevent AI failures before they escalate into crises.

Join host Michael Krigsman as he explores critical AI risk management strategies with two leading experts:
• Lord Tim Clement-Jones - Member of the House of Lords, Co-Chair of UK Parliament's AI Group
• Dr. David A. Bray - Chair of the Accelerator at Stimson Center, Former FCC CIO

What you'll learn:
✓ Why AI behaves unpredictably despite explicit programming
✓ How to implement "pattern of life" monitoring for AI systems
✓ The hidden dangers of anthropomorphizing AI
✓ Essential board-level governance structures for AI deployment
✓ Real-world AI failure examples and their business impact
✓ Strategies for building appropriate skepticism while leveraging AI benefits

Key ideas include treating AI as "alien interactions" rather than human-like intelligence, the convergence of AI risk with cybersecurity, and why smaller companies have unique opportunities in the AI landscape.

This discussion is essential viewing for CEOs, board members, CIOs, CISOs, and anyone responsible for AI strategy and risk management in their organization.

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🔷 Full episode and summary: https://www.cxotalk.com/episode/when-ai-goes-off-the-rails-an-executive-action-plan
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00:00 🤖 Introduction to AI Challenges and Expert Backgrounds
01:08 ⚠️ Understanding Generative AI and Its Risks
07:11 🔍 Trust, Skepticism, and Responsible AI Deployment
10:51 🤖 AI Risk Management and Corporate Integration
14:01 ⚠️ AI as Insider Threat and Workforce Adaptation
20:09 🤝 AI as a Sparring Partner and Policy Implications
21:52 ⚖️ AI Regulation and Public Trust
25:27 ⚠️ AI Risks and Corporate Governance
29:41 🌐 Agent Management and Spatial Web Protocols
31:45 🚀 AI in Space and Business Applications
33:28 📜 AI Policy Creation and Regulation
40:02 🌱 Opportunities for Smaller AI Players
42:04 🤖 AI Innovation and Edge Computing
43:28 📊 Future of Jobs and Data Stakeholderism
49:42 ⚖️ Ethics, Misconceptions, and Trust in AI
53:05 🙏 Closing Remarks and Gratitude
53:21 📅 Upcoming Shows and Farewell

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