Leseprobe
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AI Leadership for Boards
Robin Teigland, Liselotte Engstam, Fernanda Torre, et al.
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Sozialwissenschaften, Recht, Wirtschaft / Wirtschaft
Beschreibung
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
