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How are companies translating their AI principles into practice? In this episode of C-Suite Perspectives, Steve Odland, President and CEO of The Conference Board, speaks with Andrew Jones, PhD, Principal Researcher at Th...
AI Is Scaling Fast—How Companies Can Manage Risk is an episode from CEO Perspectives by The Conference Board. How are companies translating their AI principles into practice? In this episode of C-Suite Perspectives, Steve Odland, President...
This episode belongs to CEO Perspectives.
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Published May 4, 2026, 25:46 long, audio available.
How are companies translating their AI principles into practice? In this episode of C-Suite Perspectives, Steve Odland, President and CEO of The Conference Board, speaks with Andrew Jones, PhD, Principal Researcher at The Conference Board Governance & Sustainability Center, about how companies are putting AI governance into practice. They discuss how AI is rapidly moving into core business operations and what that means for risk management, accountability, and leadership. The conversation explores how organizations are shifting from high-level AI principles to formal governance structures; the rise of cross-functional oversight; and the growing role of boards in AI strategy. The discussion also covers emerging challenges, including regulatory complexity, cybersecurity threats, and workforce disruption. More from The Conference Board: From Principles to Practice: Governing AI in the Corporation Top 5 Corporate Governance Priorities for 2026 Governing Through Uncertainty: US Boardroom Priorities for 202 6 AI and Environmental Sustainability: Risks, Opportunities, and What Comes Next AI Risk Disclosures in the S&P 500: Reputation, Cybersecurity, and Regulation
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AI Is Scaling Fast—How Companies Can Manage Risk is an episode from CEO Perspectives by The Conference Board.
This episode is 25:46 long.
This episode was published on May 4, 2026.
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AI Is Scaling Fast—How Companies Can Manage Risk is from CEO Perspectives by The Conference Board.
Published May 4, 2026 and 25:46 long