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Feminist AI - Critical Perspectives on Algorithms, Data, and Intelligent Machines
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Feminist AI - Critical Perspectives on Algorithms, Data, and Intelligent Machines
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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. This book
aims to be a touchstone text for AI researchers concerned with the
social impact of their systems, as well as theorists, students and
educators in the field of gender and technology. It demonstrates
the importance of an intersectional understanding of the risks and
benefits of AI, approaching feminism as a political project that
aims to challenge various interlocking forms of injustice, social
inequality and structural relations of power. 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. It features original
and essential works specially selected to span multiple generations
of practitioners and scholars. These contributors are also attuned
to conversations at industry-level around the risks and
possibilities that frame the drive to adopt AI. This collection
reflects the increasingly blurred divide between the academy,
industry and corporate research groups and brings interdisciplinary
feminist insights together with postcolonial studies, disability
theory, and critical race studies to confront ageism, racism,
sexism, ableism, and class-based oppressions in AI.
General
Imprint: |
Oxford UniversityPress
|
Country of origin: |
United Kingdom |
Release date: |
September 2023 |
Authors: |
Jude Browne
(Head of Department; Frankopan Director of the Centre for Gender Studies)
• Stephen Cave
(Director)
• Eleanor Drage
(Christina Gaw Postdoctoral Research Associate in Gender and Technology)
• Kerry McInerney
(Christina Gaw Postdoctoral Research Associate in Gender and Technology)
|
Dimensions: |
216 x 138mm (L x W) |
Pages: |
432 |
ISBN-13: |
978-0-19-288989-8 |
Categories: |
Books
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LSN: |
0-19-288989-3 |
Barcode: |
9780192889898 |
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