The Oxford handbook of ethics of AI / edited by Markus D. Dubber, Frank Pasquale, and Sunit Das.

Contributor(s):

Material type: Text

TextLanguage: English Series: Oxford handbooksPublication details: New York, NY : Oxford University Press, 2021.Description: xiv, 881 pages : illustrations (black and white) ; 26 cm.ISBN:

9780197601440

Other title:

Ethics of artificial intelligence
Ethics of AI

Subject(s):

Artificial intelligence -- Moral and ethical aspects

LOC classification:

Q334.7 .O84 2021

Courses that have reserved this title:

B3ASP Data Science for Business: The Business Aspect of Artificial Intelligence | MSc Digital Transformation & Business Innovation

Summary: This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	TBS Barcelona	Core Textbooks	Q334.7 DUB (Browse shelf(Opens below))	Available		B02357
Book	TBS Barcelona	Core Textbooks	Q334.7 DUB (Browse shelf(Opens below))	Available		B02337

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Includes bibliographical references and index.

This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

B3ASP Data Science for Business: The Business Aspect of Artificial Intelligence | MSc Digital Transformation & Business Innovation