AI Leadership for Boards

Book excerpt: It is predicted that artificial intelligence [Al], and the “big data” on which Al is based, will become one of the most challenging board issues in the next ten years. This book, AI Leadership for Boards – The Future of Corporate Governance, offers to provide guidance on how corporate boards should respond to this challenge. The findings indicate that while boards are aware of the importance of Al implementation as a key competitive advantage, they will need to develop two competence areas to successfully steward their firms into an Al-based future: [1] guiding Al operational capability and [2] supervising Al governance capability. These areas are combined to create the Boards 4 AI Leadership Matrix – a practical tool for boards to map and develop their Al implementation. The matrix is accompanied by a set of questions to help boards develop a better understanding of where they are today in terms of the development of their Al competences as well as set an ambition for future development. Table of Contents: Acknowledgements Executive Summary Chapter 1. Introduction Chapter 2. Background Chapter 3. Guiding AI operational capability Chapter 3.1. Guiding the gathering, harvesting and analysis of big data in a data strategy Chapter 3.2. Guiding AI-driven innovation strategy Chapter 3.3. Guiding the participation and growth on a business ecosystem Chapter 4. Supervising AI governance Chapter 4.1. Supervising data management, ethics and black box decision-making Chapter 4.2. Supervising AI cybersecurity Chapter 4.3. Supervising business ecosystem participation and leadership Chapter 5. Boards 4 AI leadership matrix– a tool for developing board competence Chapter 6. Beyond competence to the future of board work Chapter 7. Conclusion References The Authors