Introduction to AI Safety, Ethics, and Society

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...

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Detalles Bibliográficos
Autor principal: Dan Hendrycks
Formato: Libro
Publicado: CRC Press 2024
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Acceso en línea:Ver este registro en EBSCOhost
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        Artificial intelligence--Moral and ethical aspects
        Artificial intelligence--Social aspects
        Risk management
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          COMPUTERS / Artificial Intelligence / General
          COMPUTERS / Data Science / Machine Learning
          Artificial intelligence--Moral and ethical aspects
          Artificial intelligence--Social aspects
          Risk management
      ab: 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.
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