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Book Synopsis

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 â it is a societal challenge that cuts across traditional disciplinary boundaries. Integrating insights from safety engi

Introduction to AI Safety Ethics and Society

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A Hardback by Dan Hendrycks

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    View other formats and editions of Introduction to AI Safety Ethics and Society by Dan Hendrycks

    Publisher: CRC Press
    Publication Date: 12/31/2024
    ISBN13: 9781032869926, 978-1032869926
    ISBN10: 1032869925

    Description

    Book Synopsis

    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 â it is a societal challenge that cuts across traditional disciplinary boundaries. Integrating insights from safety engi

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