The Oxford handbook of ethics of AI / edited by Markus D. Dubber, Frank Pasquale, and Sunit Das.
Contributor(s): Dubber, Markus Dirk [editor.] | Pasquale, Frank [editor.] | Das, Sunit [editor.].
Series: Publisher: New York, NY : Oxford University Press, ©2020Copyright date: ©2020Description: 881 p: illustrations ; 26 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780190067397; 019006739X.Other title: Ethics of AI | Ethics of artificial intelligence.Subject(s): Artificial intelligence -- Moral and ethical aspects | Artificial intelligence -- Moral and ethical aspectsGenre/Form: Print books.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."| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | Q334.7 .O84 2020 (Browse shelf) | Available | AU00000000018159 |
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| Q334.7 .H37 2021 How humans judge machines / | Q334.7 .M337 2021 Machines we trust : perspectives on dependable AI / | Q334.7 .N68 2020 AI & humanity / | Q334.7 .O84 2020 The Oxford handbook of ethics of AI / | Q334.7 .R87 2019 Human compatible : artificial intelligence and the problem of control / | Q334.7 .S43 2019 The digital ape : how to live (in peace) with smart machines / | Q334.7 .S65 2019 The promise of artificial intelligence : reckoning and judgment / |
Series from book jacket.
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."