Description
Background / Overview
Artificial Intelligence (AI) is rapidly transforming industries, creating both opportunities and new risks for organizations. From generative AI in business applications to AI-driven decision-making, boards must understand the governance, ethical, regulatory, and strategic implications of AI.
Regulators, investors, and stakeholders increasingly expect boards to provide oversight on responsible AI adoption—covering fairness, accountability, transparency, data privacy, and cybersecurity. This briefing equips board members with the strategic questions, frameworks, and oversight tools necessary to guide management on AI deployment while safeguarding reputation and compliance.
Agenda / Content (1 hour)
1. Introduction to AI Governance (10 min)
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What AI governance means for boards
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Global regulatory trends (EU AI Act, OECD, U.S. initiatives)
2. Strategic & Ethical Risks of AI (15 min)
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Bias, fairness, and transparency
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Data privacy, cybersecurity, and IP challenges
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AI misuse and reputational risks
3. The Board’s Oversight Role (20 min)
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Aligning AI with corporate strategy and values
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Oversight of management’s AI risk framework
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Questions boards should ask about AI adoption
4. Case Insights & Best Practices (10 min)
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Brief case studies: successes and failures in AI adoption
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Emerging global standards and industry practices
5. Key Takeaways & Action Points (5 min)
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Quick checklist for AI governance oversight
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Building a culture of responsible AI
Objectives
By the end of this briefing, board members will:
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Understand the fundamentals of AI governance and regulatory expectations.
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Recognize strategic, ethical, and compliance risks posed by AI.
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Clarify the board’s role in overseeing AI adoption and risk management.
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Identify the right questions to ask management to ensure accountability.
Expected Outcomes
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Enhanced board-level awareness of AI risks and opportunities.
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Improved ability to provide strategic oversight of AI initiatives.
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Clear framework for integrating AI governance into enterprise risk management.
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Strengthened stakeholder trust through ethical and responsible AI adoption.
