Thos book is a comprehensive and interdisciplinary introduction to AI Safety. As AI threatens to transform society, it becomes increasingly more important to understand the risks that AI poses, and to learn what measures we can take to mitigate them.
Thos book is a comprehensive and interdisciplinary introduction to AI Safety. As AI threatens to transform society, it becomes increasingly more important to understand the risks that AI poses, and to learn what measures we can take to mitigate them.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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