000 03186nam a22002537a 4500
005 20261013122241.0
008 261013b |||||||| |||| 00| 0 eng d
020 _a9780192889898
028 _a: Feel Books Pvt. Ltd.
_b: 4381/4, Ansari Road, Daryaganj, New Delhi
_c:1002
_d: 08/10/2026
082 _a305.42 BRO
100 _aBrowne, Jude. (Editor)
100 _a; Cave, Stephen (Editor).
100 _a; Drage, Eleanor(Editor)
245 _aFeminist AI
_b: Critical Perspectives on Algorithms, Data, and Intelligent Machines.
_c/Jude Browne.
260 _a, UK
_b: Oxford University Press
_c2023.
300 _axxi, 404p.
_c: 24cm.
365 _b6758
520 _aFeminist 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.
650 _aFeminist AI
650 _aAlgorithms
650 _aIntelligent Machines
700 _aJude Brown.
942 _cBOOK
999 _c70899
_d70899