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Full Description
As AI technology is rapidly progressing in capability and being adopted more widely across society, it is more important than ever to understand the potential risks AI may pose and how AI can be developed and deployed safely. Introduction to AI Safety, Ethics, and Society offers a comprehensive and accessible guide to this topic.
This book explores a range of ways in which societies could fail to harness AI safely in coming years, such as malicious use, accidental failures, erosion of safety standards due to competition between AI developers or nation-states, and potential loss of control over autonomous systems. Grounded in the latest technical advances, this book offers a timely perspective on the challenges involved in making current AI systems safer. Ensuring that AI systems are safe is not just a problem for researchers in machine learning - it is a societal challenge that cuts across traditional disciplinary boundaries. Integrating insights from safety engineering, economics, and other relevant fields, this book provides readers with fundamental concepts to understand and manage AI risks more effectively.
This is an invaluable resource for upper-level undergraduate and postgraduate students taking courses relating to AI Safety & Alignment, AI Ethics, AI Policy, and the Societal Impacts of AI, as well as anyone trying to better navigate the rapidly evolving landscape of AI safety.
Contents
Introduction
Section I AI and Societal-Scale Risks
Chapter 01 Overview of Catastrophic AI Risks
Chapter 02 Artificial Intelligence Fundamentals
Section II Safety
Chapter 03 Single-Agent Safety
Chapter 04 Safety Engineering
Chapter 05 Complex Systems
Section III Ethics and Society
Chapter 06 Beneficial AI and Machine Ethics
Chapter 07 Collective Action Problems
Chapter 08 Governance
Acknowledgements
References
