
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.
This volume investigates the complex ethical, legal, and societal implications arising from the rapid development and deployment of autonomous artificial intelligence systems. The editors, Frank L. Pasquale, Markus D. Dubber, and Sunit Das, curate a collection of scholarly contributions that map the current discourse while situating technological advancements within historical and normative frameworks. The work argues that understanding AI requires a multidisciplinary approach that balances technical capabilities with human welfare, moral agency, and democratic governance.
What You Will Find
Scope Limits
Experts and academics recognize this volume as a comprehensive reference for those navigating the intersection of technology and moral philosophy. Readers frequently note the academic density of the prose, which is intended for researchers, legal scholars, and practitioners in the field of AI ethics.
Page Count:
1000
Publication Date:
2020-01-01
Publisher:
Oxford University Press
ISBN-10:
0190067403
ISBN-13:
9780190067403
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