Feminist AI Critical Perspectives on Algorithms, Data, and Intelligent Machines

by Browne, Jude; Cave, Stephen; Drage, Eleanor; McInerney, Kerry

• ISBN13: 9780192889898
• ISBN10: 0192889893
• Format: Hardcover
• Copyright: 2023-12-19
• Publisher: Oxford University Press

Summary

Chapters 5, 12, and 18 of this work are available under the terms of a CC BY-NC-ND 4.0 International open access licence. These parts of the work are free to read on the Oxford Academic platform and offered as a free PDF download from OUP and selected open access locations.

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.

Author Biography

Jude Browne, Head of Department; Frankopan Director of the Centre for Gender Studies, Department of Politics and International Studies, University of Cambridge; Fellow at King's College, Cambridge,Stephen Cave, Director, Leverhulme Centre for the Future of Intelligence, University of Cambridge,Eleanor Drage, Christina Gaw Postdoctoral Research Associate in Gender and Technology, University of Cambridge Centre for Gender Studies,Kerry McInerney, Christina Gaw Postdoctoral Research Associate in Gender and Technology, University of Cambridge Centre for Gender Studies

Professor Jude Browne is the Head of the Department of Politics and International Studies at the University of Cambridge and the Frankopan Director of the Centre for Gender Studies. She is the Principal Investigator (PI) on the Gender and Technology project (funded by Christina Gaw). She has published multiple books and is the inaugural winner of the Aaron Rapport Prize, as well as a University of Cambridge Pilkington Prize winner.


Dr Stephen Cave is Director of the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. His research focuses on philosophy and ethics of technology, particularly AI, robotics and life-extension. He is the author of Immortality (Crown, 2012), a New Scientist book of the year, and Should We Want to Live Forever (Routledge, 2023); and co-editor of AI Narratives (Oxford University Press, 2020) and Imagining AI (Oxford University Press, 2023). He writes widely about philosophy, technology and society, including for the Guardian and Atlantic. He also advises governments around the world, and has served as a British diplomat.


Dr Eleanor Drage is a Christina Gaw Post-doctoral Research Associate at the Centre for Gender Studies, a Research Associate of the Leverhulme Centre for the Future of Intelligence, and a Research Associate at Darwin College, Cambridge. She examines how anti-racist and anti-sexist critical theory can be implemented at industry-level to develop ethical and socially transformative technological products. For her work, she has been recognised as one of Women in AI Ethics' Brilliant Women in AI Ethics for 2022. She has also spoken and written widely about gender, feminism and techology for outlets such as the UN, Natwest, and IAI TV.


Dr Kerry Mackereth is a Christina Gaw Post-doctoral Research Associate in Gender and Technology at the University of Cambridge Centre for Gender Studies, and a research associate at the Leverhulme Centre for the Future of Intelligence (LCFI). She is a former Girdlers Scholar and Gates Cambridge Scholar, and was recognised as one of Women in AI Ethics' Brilliant Women in AI Ethics for 2022. As of October 2022 she will be joining LCFI as a postdoctoral researcher on anti-Asian racism and AI, and will be a Visiting Fellow at UCL's Institute of Advanced Studies in 2023.

Table of Contents

1. Technosymbiosis: Figuring (Out) Our Relations to AI, N. Katherine Hayles
2. Making Kin with the Machines, Jason Edward Lewis, Noelani Arista, Archer Pechawis, and Suzanne Kite
3. AI in a Different Voice: Rethinking Computers, Learning, and Gender Difference at MIT in the 1980s, Apolline Taillandier
4. Feminism Confronts AI: The Gender Relations of Digitalisation, Judy Wajcman and Erin Young
5. Shuri in the Sea of Dudes: the Cultural Construction of the AI Engineer, Stephen Cave, Kanta Dihal, Eleanor Drage and Kerry Mackereth
6. No Humans in the Loop: Killer Robots, Race and AI, Lauren Wilcox
7. Coding 'Carnal Knowledge' into Carceral Systems: A Feminist Abolitionist Approach to Predictive Policing, Kerry Mackereth
8. Techno Racial Capitalism: A Decolonial Black Feminist Marxist Perspective, Lelia Marie Hampton
9. Feminist Technofutures: Contesting the Ethics and Politics of Sex Robots and AI, Neda Atanasoski
10. From ELIZA to Alexa: Automated Care Labour and the Otherwise of Radical Care, Jennifer Rhee
11. Of Techno-Ethics and Techno-Affects, Sareeta Amrute
12. The False Binary of Reason and Emotion in Data Visualisation, Catherine D'Ignazio and Lauren Klein
13. Physiognomy's New Clothes, Blaise Aguera y Arcas, Margaret Mitchell, and Alexander Todorov
14. Signs Taken for Wonders: AI, Art and the Matter of Race, Michele Elam
15. The Cruel Optimism of Technological Dreams: Thinking AI through Lauren Berlant, Caroline Bassett
16. AI that Matters: A Feminist Approach to the Study of Intelligent Machines, Eleanor Drage and Federica Frabetti
17. Automating Autism, Os Keyes
18. Digital Ageism, Algorithmic Bias and Feminist Critical Theory, Rune Nyrup, Charlene Chu and Elena Falco
19. AI & Structural Injustice: A Feminist Perspective, Jude Browne
20. Afrofeminist Data Futures, Neema Iyer, Garnett Achieng and Chenai Chair
21. Design Practices: Nothing About Us Without Us, Sasha Costanza-Chock