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dc.contributor.authorHendrycks, Dan
dc.date.accessioned2024-12-10T06:25:51Z
dc.date.available2024-12-10T06:25:51Z
dc.date.issued2025
dc.date.submitted2024-12-05T07:56:53Z
dc.identifierONIX_20241205_9781040261163_2
dc.identifierhttps://library.oapen.org/handle/20.500.12657/95733
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/148385
dc.description.abstractAs 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.
dc.languageEnglish
dc.rightsopen access
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspectsen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineeringen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineeringen_US
dc.subject.otherDeep learning
dc.subject.othermachine learning
dc.subject.otherblack swans
dc.subject.othertail events
dc.subject.otherAI strategy
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
dc.titleIntroduction to AI Safety, Ethics, and Society
dc.typebook
oapen.identifier.doi10.1201/9781003530336
oapen.relation.isPublishedByfa69b019-f4ee-4979-8d42-c6b6c476b5f0
oapen.relation.isbn9781040261163
oapen.relation.isbn9781032869926
oapen.relation.isbn9781003530336
oapen.relation.isbn9781040261170
oapen.imprintCRC Press
oapen.pages562
peerreview.review.typeProposal
peerreview.anonymitySingle-anonymised
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
peerreview.titleProposal review


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