相關主題
商品描述
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 the 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.
商品描述(中文翻譯)
隨著人工智慧技術在能力上迅速進步並在社會中被更廣泛地採用，了解人工智慧可能帶來的潛在風險以及如何安全地開發和部署人工智慧變得比以往任何時候都更為重要。人工智慧安全、倫理與社會導論提供了這一主題的全面且易於理解的指南。
本書探討了社會在未來幾年內可能無法安全利用人工智慧的多種方式，例如惡意使用、意外故障、因人工智慧開發者或國家之間的競爭而導致的安全標準侵蝕，以及對自主系統的潛在失控。基於最新的技術進展，本書提供了對於使當前人工智慧系統更安全所面臨挑戰的及時觀點。確保人工智慧系統的安全不僅僅是機器學習研究人員的問題——這是一個跨越傳統學科界限的社會挑戰。本書整合了安全工程、經濟學及其他相關領域的見解，為讀者提供了理解和更有效管理人工智慧風險的基本概念。
這是一本對於修習人工智慧安全與對齊、人工智慧倫理、人工智慧政策以及人工智慧對社會影響等課程的高年級本科生和研究生來說，極具價值的資源，同時也適合任何希望更好地應對快速演變的人工智慧安全環境的人士。
作者簡介
Dr. Dan Hendrycks is a machine learning researcher and Director of the Center for AI Safety (CAIS), USA. Dan holds a Ph.D. in Machine Learning from UC Berkeley. Dr. Hendrycks has given dozens of accessible and engaging talks on AI safety to diverse audiences at institutions such as OpenAI, Google, and Stanford. His expertise is regularly sought, evidenced by his role in organizing AI safety-related workshops at prestigious conferences, including NeurIPS, ICML, and ECCV. His work has not only had a substantial impact on the academic community but has also gained considerable public attention. Dr. Hendrycks has been profiled in media outlets like the Boston Globe and has had his work featured in the BBC, New York Times, TIME Magazine, and Washington Post.
作者簡介(中文翻譯)
丹·亨德里克斯博士是機器學習研究員及美國人工智慧安全中心（Center for AI Safety, CAIS）的主任。丹擁有加州大學伯克利分校的機器學習博士學位。亨德里克斯博士曾在OpenAI、Google和史丹佛等機構向多元化的觀眾發表過數十場易於理解且引人入勝的人工智慧安全演講。他的專業知識經常受到需求，這從他在包括NeurIPS、ICML和ECCV等知名會議中組織與人工智慧安全相關的工作坊的角色可見一斑。他的研究不僅對學術界產生了重大影響，還引起了相當大的公眾關注。亨德里克斯博士曾在《波士頓環球報》等媒體上被報導，並且他的工作也曾在BBC、《紐約時報》、《時代雜誌》和《華盛頓郵報》中被特別報導。
