May 1, 2024
Updated July 7, 2025
19 minute read
AI Governance is the practice of establishing policies, procedures, and standards to ensure the responsible development, deployment, and use of artificial intelligence (AI) systems. It involves setting ethical guidelines for AI research and development, as well as ensuring that AI systems are used in a way that is fair, transparent, and accountable.
Importance of AI Governance
AI Governance is increasingly important for several reasons. First, AI systems are becoming more powerful and autonomous, which means that they have the potential to cause significant harm if they are not properly governed. Second, AI systems are being used in a wider range of applications, from self-driving cars to medical diagnosis, which means that the potential for harm is increasing. Third, there is a growing public awareness of the potential risks of AI, which means that businesses and governments are under pressure to take steps to mitigate these risks.
Benefits of AI Governance
AI Governance can provide a number of benefits, including:
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Reading list
We've selected 27 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
AI Governance.
Offers a strong foundation in AI governance, covering use cases, regulations, controls, and vendor tools. It provides a framework for AI governance, including a 13-step wheel detailing activities, roles, and responsibilities. The book is an indispensable reference for understanding and implementing AI governance, particularly in mitigating bias and emphasizing human oversight.
This handbook provides a comprehensive overview of the legal, ethical, and policy implications of AI and algorithmic systems. It covers theoretical insights and practical examples, exploring legal and policy instruments governing AI with a focus on Europe. This valuable reference for those interested in the multi-disciplinary aspects of AI governance.
A critical examination of the ethical and legal challenges posed by AI. Pasquale argues that we need to develop new approaches to AI governance that are based on a deep understanding of the unique risks and opportunities associated with AI.
A comprehensive framework for the ethical and legal governance of AI. Coeckelbergh draws on a range of disciplines, including philosophy, law, and computer science, to develop a set of principles for the responsible development and deployment of AI systems.
Provides a comprehensive exploration of the ethical implications of AI systems. It examines crucial issues surrounding the development and use of AI, including the integrity of researchers and manufacturers, moral decision-making in autonomous systems, and design methodologies based on societal values. This book is suitable for both technical and non-technical readers and can serve as a valuable reference for understanding the ethical landscape of AI governance.
A comprehensive handbook on AI governance that covers a wide range of topics, including the ethical, legal, and social implications of AI; the different types of AI governance frameworks; and the best practices for developing and implementing an AI governance framework.
Written by a leading AI researcher, this book examines the challenge of aligning AI with human values to prevent potential risks. It argues that conflict between humans and AI is avoidable if we rethink how we build these machines, proposing a new foundation for creating altruistic AI. is highly relevant to the ethical considerations in AI governance.
Provides practical guidance and best practices for creating trustworthy AI systems. It covers multi-level governance mechanisms, design patterns, and software engineering techniques for operationalizing responsible AI, making it highly relevant for technical professionals involved in AI development and deployment.
Drawing on over a decade of research, this book reveals the hidden costs of AI technologies, from environmental damage to widening inequality and shifts in governance. It takes readers through the physical infrastructure of AI, highlighting how these systems can reinforce existing power dynamics. is crucial for understanding the broader societal and political context of AI governance and is highly relevant to contemporary discussions.
Delves into the challenge of aligning AI systems with human values, detailing the potential problems that can arise when AI doesn't behave as expected. It explores the movement to address these issues, making it highly relevant to the technical and ethical challenges within AI governance.
Guide for business leaders on developing and implementing a robust and responsible AI strategy within their organizations. It outlines three core pillars: people, process, and technology, and provides insight on the technical and commercial potential of ethics in AI. This book is particularly useful for professionals seeking practical guidance on AI governance implementation.
Offers a practical and accessible analysis of the ethics surrounding AI, moving beyond hype to address concerns thoughtfully. It provides a solid foundation for engaging in the AI ethics conversation, which critical component of AI governance.
Offers a synthesis of investigations on the ethics, governance, and policies affecting the design, development, and deployment of AI. Its modular nature makes it suitable for both those new to the field and experts, providing a detailed understanding of pressing issues brought about by AI and digital innovation.
Explores the potential implications if machine intelligence surpasses human intelligence, examining the risks and possible strategies for managing such a future. It foundational text in the discussion of AI safety and existential risk, providing crucial context for the long-term importance of AI governance.
Co-authored by a co-founder of DeepMind, this book explores the transformative impact of AI and the challenge of maintaining control over increasingly powerful technologies. It provides a comprehensive look at the technological revolution and its potential to reshape society, economics, and politics, offering essential context for AI governance.
Explores the ethical dimension of AI governance, focusing on the importance of shared values and rules in the development and deployment of AI. It contributes to the understanding of the ethical frameworks necessary for responsible AI.
Tackles some of the biggest questions in AI, exploring its potential impact on jobs, arms races, and crime. It prompts readers to consider what kind of future they want as AI becomes more ubiquitous, making it a relevant read for understanding the societal implications that necessitate AI governance.
Specifically explores the ethical governance of AI and Machine Learning in the healthcare sector. It examines the potential benefits and dangers of AI in healthcare and discusses the importance of developing ethical governance frameworks for this specific application area.
Is an excellent starting point for those new to the regulation of AI. It focuses on the day-to-day regulatory challenges and is written in an accessible, jargon-free style. While UK-centric, it also considers EU and North American applications, making it a valuable introductory text for understanding the legal aspects of AI governance.
A comprehensive overview of the ethical issues raised by AI. Liao discusses the different ethical theories that can be applied to AI, the key ethical challenges posed by AI, and the different approaches to addressing these challenges.
This work explores how AI can be crucial for sustainable development, showcasing case studies and its strategic application in key sectors to address urgent challenges. It highlights the opportunities and ethical challenges of AI in a specific regional context, providing a valuable perspective on AI governance for global development.
A comprehensive overview of the legal issues raised by AI. Zittrain and Edelman discuss the different ways that AI can be used in the legal system, the different ethical and legal challenges posed by AI, and the different approaches to addressing these challenges.
A comprehensive overview of the ethical and legal issues raised by AI in the context of warfare. Scharre and Horowitz discuss the different ways that AI can be used in warfare, the different ethical and legal challenges posed by AI, and the different approaches to addressing these challenges.
For more information about how these books relate to this course, visit:
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