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:
lb3yc5|
Find a path to becoming a AI Governance. Learn more at:
OpenCourser.com/topic/lb3yc5/ai
Reading list
We've selected 13 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.
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.
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.
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.
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.
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.
Widely considered a foundational textbook in AI, this book offers a comprehensive overview of AI concepts, techniques, and applications. While not solely focused on governance, it provides essential background knowledge on how AI systems work, which is crucial for understanding the challenges of governing them. This valuable reference for anyone seeking a deep technical understanding of AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/lb3yc5/ai
Save
