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Titel
Feminist AI : critical perspectives on data, algorithms and intelligent machines / edited by Professor Jude Browne (Head of Department, Department of Politics and International Studies, University of Cambridge, Frankopan Director at the University of Cambridge Center for Gender Studies), Dr Stephen Cave (Director of the Institute for Technology and Humanity, University of Cambridge), Dr Eleanor Drage (Christina Gaw Post-Doctoral Research Associate in Gender and Technology, University of Cambridge Center for Gender Studies, Senior Research Fellow at the Leverhulme Center for the Future of Intelligence), Dr Kerry McInerney (Christina Gaw Post-Doctoral Research Associate in Gender and Technology, University of Cambridge Center for Gender Studies, Research Fellow at the Leverhulme Center for the Future of Intelligence)
BeteiligteBrowne, Jude In der Gemeinsamen Normdatei der DNB nachschlagen In Wikipedia suchen nach Jude Browne ; Cave, Stephen In der Gemeinsamen Normdatei der DNB nachschlagen In Wikipedia suchen nach Stephen Cave ; Drage, Eleanor In Wikipedia suchen nach Eleanor Drage ; McInerney, Kerry In Wikipedia suchen nach Kerry McInerney
ErschienenNew York : Oxford University Press, [2023] ; © 2023
Umfangxxi, 404 Seiten : Illustrationen
ISBN9780192889898
ISBN9780192889911
ISBN9780191982828
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Zusammenfassung

"Feminist AI: Critical Perspectives on Algorithms, Data and Intelligent Machines is the first volume to bring together leading feminist thinkers from across the disciplines to explore the impact of artificial intelligence (AI) and related data-driven technologies on human society. Recent years have seen both an explosion in AI systems and a corresponding rise in important critical analyses of these technologies. Central to these analyses has been feminist scholarship, which calls upon the AI sector to be accountable for designing and deploying AI in ways that further, rather than undermine, the pursuit of social justice. Feminist AI showcases the vital contributions of feminist scholarship to thinking about AI, data, and intelligent machines as well as laying the groundwork for future feminist scholarship on AI. It brings together scholars from a variety of disciplinary backgrounds, from computer science, software engineering, and medical sciences to political theory, anthropology, and literature. It provides an entry point for scholars of AI, science and technology into the diversity of feminist approaches to AI, and creates a rich dialogue between scholars and practitioners of AI to examine the powerful congruences and generative tensions between different feminist approaches to new and emerging technologies"--