ISBN:
9780192889898
Language:
English
Pages:
xxi, 404 Seiten
,
Illustrationen, Diagramme
Parallel Title:
Erscheint auch als Feminist AI
DDC:
006.301
Keywords:
Artificial intelligence Philosophy
;
Technology Social aspects
;
Philosophy
;
Artificial intelligence
;
COMPUTERS / Artificial Intelligence
;
Ethical issues: scientific & technological developments
;
Ethische Themen: Entwicklung der Wissenschaft, Technik und Medizin
;
Feminism & feminist theory
;
Feminismus und feministische Theorie
;
Impact of science & technology on society
;
Künstliche Intelligenz
;
SCI101000
;
SCIENCE / Philosophy & Social Aspects
;
SOC071000
;
SOCIAL SCIENCE / Feminism & Feminist Theory
;
TECHNOLOGY & ENGINEERING / Social Aspects
;
Wissenschaft, Technologie und Gesellschaft
Abstract:
"Feminist AI: Critical Perspectives on Data, Algorithms 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"--
Description / Table of Contents:
1: N. Katherine Hayles: Technosymbiosis: Figuring (Out) Our Relations to AI--2: Jason Edward Lewis, Noelani Arista, Archer Pechawis, and Suzanne Kite: Making Kin with the Machines--3: Apolline Taillandier: AI in a Different Voice: Rethinking Computers, Learning, and Gender Difference at MIT in the 1980s--4: Judy Wajcman and Erin Young: Feminism Confronts AI: The Gender Relations of Digitalisation--5: Stephen Cave, Kanta Dihal, Eleanor Drage and Kerry Mackereth: Shuri in the Sea of Dudes: the Cultural Construction of the AI Engineer--6: Lauren Wilcox: No Humans in the Loop: Killer Robots, Race and AI--7: Kerry Mackereth: Coding 'Carnal Knowledge' into Carceral Systems: A Feminist Abolitionist Approach to Predictive Policing--8: Lelia Marie Hampton: Techno Racial Capitalism: A Decolonial Black Feminist Marxist Perspective--9: Neda Atanasoski: Feminist Technofutures: Contesting the Ethics and Politics of Sex Robots and AI--10: Jennifer Rhee: From ELIZA to Alexa: Automated Care Labour and the Otherwise of Radical Care--11: Sareeta Amrute: Of Techno-Ethics and Techno-Affects--12: Catherine D'Ignazio and Lauren Klein: The False Binary of Reason and Emotion in Data Visualisation--13: Blaise Aguera y Arcas, Margaret Mitchell, and Alexander Todorov: Physiognomy's New Clothes--14: Michele Elam: Signs Taken for Wonders: AI, Art and the Matter of Race--15: Caroline Bassett: The Cruel Optimism of Technological Dreams: Thinking AI through Lauren Berlant--16: Eleanor Drage and Federica Frabetti: AI that Matters: A Feminist Approach to the Study of Intelligent Machines--17: Os Keyes: Automating Autism--18: Rune Nyrup, Charlene Chu and Elena Falco: Digital Ageism, Algorithmic Bias and Feminist Critical --19: Jude Browne: AI & Structural Injustice: A Feminist Perspective--20: Neema Iyer, Garnett Achieng and Chenai Chair: Afrofeminist Data Futures--21: Sasha Costanza-Chock: Design Practices: Nothing About Us Without Us
Note:
Literaturangaben und Index
URL:
Cover
(lizenzpflichtig)
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