AI and the Boardroom : Insights into Governance, Strategy, and the Responsible Adoption of AI

Develop and implement AI strategies aligned with business goals, including operating models and partnership strategies. This book is practical guide for chief experience officers and other corporate board members faced with the complex issues of AI governance, data privacy, AI regulations, AI copyright, AI strategy, and more. Executives are eager to hear from other executives, peers, and authority figures regarding AI matters, and how to approach them quickly, correctly and meaningfully. The cost of missing out or messing up in AI transformation is easy so it’s imperative that C-suite and board members have the right mental framework to ask the right questions for their organizations. Throughout this book, you’ll see how to develop and execute AI strategies that align with your organizational goals and ethical standards. You’ll navigate the complex landscape of AI regulation and governance, applying best practices to ensure compliance and protect stakeholder interests. You’ll also, understand how to innovate and adapt AI technologies within your operations. AI and the Boardroom provides all the right tools to guide decision-making, foster partnerships, and enhance customer experiences What You Will Learn Master AI governance, regulations, and ethical considerations, including privacy and intellectual property issues. Optimize AI investments, budgets, and ROI through effective KPIs, OKRs, and risk management. Navigate organizational changes brought by AI, including executive compensation, team structures, and change management. Leverage AI for board-level decision-making while advancing organizational AI maturity and staying ahead of emerging trends. Who This Book Is For Suite executives and corporate board members; technology and innovation leaders; risk management and compliance professionals; corporate strategists and business unit leaders; AI program managers and data scientists Cover Front Matter 1. Introduction 2. AI Governance 3. AI Regulation 4. AI Privacy 5. AI Copyright and Intellectual Property 6. AI Strategy 7. AI Operating Model 8. Determining AI Maturity for Your Organization 9. Structuring AI Teams for Success: Models for Scaling AI Operations 10. AI Partnerships and Alliances 11. AI Budgets and Investments 12. AI Change Management 13. AI KPIs and OKRs: Measuring Success and Maximizing Impact 14. AI Partnerships and Strategic Alliances 15. AI Talent Strategy 16. AI Monetization: Strategies for Profitable Innovation 17. Aligning AI Investments with Business Problems 18. AI Cybersecurity 19. Scaling AI Operations: Designing Effective Enterprise Infrastructure 20. Building Robust AI Infrastructure for Enterprise Success 21. Architecting AI Solutions: A Blueprint for Generative AI 22. AI Risk Categorization 23. Strategic AI Risk Management & Quantification 24. Leveraging Generative AI: Strategies, Implementation, and Impact 25. Evaluating Generative AI Use Cases: A Comprehensive Framework 26. AI Executive Compensation: Insights from Europe and the United States 27. Strategic Insights on the Reporting Structures of AI Executives 28. Governance and Oversight of AI Systems 29. Assessing and Advancing AI Maturity in Organizations Back Matter