Description

Book Synopsis
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, poeti

Critical AI

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    A Paperback / softback by Rita Raley, Jennifer Rhee

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      Book details

      Publisher Duke University Press
      Published 31 July 2023
      ISBN-13 9781478024620
      978-1478024620
      ISBN-10 1478024623
      Also in:
      Artificial intelligence (AI) Literature: history and criticism Media studies

      Description

      Book Synopsis
      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, poeti

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