AI ethics / (Record no. 73622)

000 -LEADER
fixed length control field 05552nam a2200493 i 4500
001 - CONTROL NUMBER
control field 9056575
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204945.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200429s2020 mau ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262357067
-- electronic bk.
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic bk.
082 04 - CLASSIFICATION NUMBER
Call Number 170
100 1# - AUTHOR NAME
Author Coeckelbergh, Mark,
245 10 - TITLE STATEMENT
Title AI ethics /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (248 pages).
490 1# - SERIES STATEMENT
Series statement MIT Press Essential Knowledge series
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Intro -- Contents -- Series Foreword -- Acknowledgments -- 1: Mirror, Mirror, on the Wall -- The AI Hype and Fears: Mirror, Mirror, on the Wall, Who Is the Smartest of Us All? -- The Real and Pervasive Impact of AI -- The Need to Discuss Ethical and Societal Problems -- This Book -- 2: Superintelligence, Monsters, and the AI Apocalypse -- Superintelligence and Transhumanism -- Frankenstein's New Monster -- Transcendence and the AI Apocalypse -- How to Go beyond Competition Narratives and beyond the Hype -- 3: All about the Human
505 8# - FORMATTED CONTENTS NOTE
Remark 2 Is General AI Possible? Are There Fundamental Differences between Humans and Machines? -- Modernity, (Post)humanism, and Postphenomenology -- 4: Just Machines? -- Questioning the Moral Status of AI: Moral Agency and Moral Patiency -- Moral Agency -- Moral Patiency -- Toward More Practical Ethical Issues -- 5: The Technology -- What Is Artificial Intelligence? -- Different Approaches and Subfields -- Applications and Impact -- 6: Don't Forget the Data (Science) -- Machine Learning -- Data Science -- Applications -- 7: Privacy and the Other Usual Suspects -- Privacy and Data Protection
505 8# - FORMATTED CONTENTS NOTE
Remark 2 Manipulation, Exploitation, and Vulnerable Users -- Fake News, the Danger of Totalitarianism, and the Impact on Personal Relationships -- Safety and Security -- 8: A-responsible Machines and Unexplainable Decisions -- How Can and Should We Attribute Moral Responsibility? -- Transparency and Explainability -- 9: Bias and the Meaning of Life -- Bias -- The Future of Work and the Meaning of Life -- 10: Policy Proposals -- What Needs to Be Done and Other Questions Policymakers Have to Answer -- Ethical Principles and Justifications
505 8# - FORMATTED CONTENTS NOTE
Remark 2 Technological Solutions and the Question of Methods and Operationalization -- 11: Challenges for Policymakers -- Proactive Ethics: Responsible Innovation and Embedding Values in Design -- Practice Oriented and Bottom Up: How Can We Translate These to Practice? -- Toward a Positive Ethics -- Interdisciplinarity and Transdisciplinarity -- The Risk of an AI Winter and the Danger of the Mindless Use of AI -- 12: It's the Climate, Stupid! On Priorities, the Anthropocene, and Elon Musk's Car in Space -- Should AI Ethics Be Human-Centric? -- Getting Our Priorities Right
520 ## - SUMMARY, ETC.
Summary, etc An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions. Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Moral and ethical aspects.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=9056575
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge :
-- MIT Press,
-- [2020]
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2020]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence

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