Full Description
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.
This is an open access title available under the terms of a CC BY-NC-ND 4.0 International licence. It is free to read on the Oxford Academic platform and offered as a free PDF download from OUP and selected open access locations.
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 Theory
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
