Critical AI: a field in formation

By:

Raley, Rita (Ed.)

Contributor(s):

Rhee, Jennifer [Editor]

Series: American Literature, Vol 95, Number 2, June 2023Publication details: North Carolina, USA: Duke University Press, 2023.Description: 186-443p.: pbk.: 23cmISBN:

9781478024620

Subject(s):

DDC classification:

006.3 RAL

Summary: This issue provides an overview of the emerging interdisciplinary field of Critical AI, which seeks to demystify artificial intelligence; counter its mythologizing as a marvelous and impenetrable black box; and translate, interpret, and critique its operations, from data collection and model architecture to decision making. Artists and researchers are developing new methods, practices, and concepts for this critical project, which is both historicist and attentive to the institutional, technological, and epistemic transformations still underway. Contributors to this special issue collectively articulate and evince just such a critical approach to AI, one that combines humanistic and technical inquiry in its exploration of disciplinary and epistemological questions on the one hand, and the techniques of machine learning on the other. Featured contributions articulate some of the social, cultural, and ethicopolitical dimensions of machine learning in domains such as ecologies, art, poetics, race, warfare, pedagogy, and speculative fiction. https://www.dukeupress.edu/critical-ai-2

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar	General	006.3 RAL (Browse shelf(Opens below))	1	Available		033565

Includes Announcement

This issue provides an overview of the emerging interdisciplinary field of Critical AI, which seeks to demystify artificial intelligence; counter its mythologizing as a marvelous and impenetrable black box; and translate, interpret, and critique its operations, from data collection and model architecture to decision making. Artists and researchers are developing new methods, practices, and concepts for this critical project, which is both historicist and attentive to the institutional, technological, and epistemic transformations still underway. Contributors to this special issue collectively articulate and evince just such a critical approach to AI, one that combines humanistic and technical inquiry in its exploration of disciplinary and epistemological questions on the one hand, and the techniques of machine learning on the other. Featured contributions articulate some of the social, cultural, and ethicopolitical dimensions of machine learning in domains such as ecologies, art, poetics, race, warfare, pedagogy, and speculative fiction.

https://www.dukeupress.edu/critical-ai-2

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