
Feminist AI: Critical Perspectives on Algorithms, Data, and Intelligent Machines
Author(s): Jude Browne (Editor), Stephen Cave (Editor), Eleanor Drage (Editor), Kerry McInerney (Editor)
- Publisher: OUP Oxford
- Publication Date: 5 Oct. 2023
- Language: English
- Print length: 432 pages
- ISBN-10: 0192889893
- ISBN-13: 9780192889898
Book Description
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.
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.
Editorial Reviews
Review
The contributors’ list includes an impressive array of notable scholars in feminist science and technology studies. These writers offer thoughtful critiques of the hype around artificial intelligence and useful insights about our posthuman world, one that is increasingly likely to be shaped by machine learning, algorithmic bias, and robotic labor.
―
Elizabeth Losh, William and Mary, Williamsburg, VirginiaIncludes a multiplicity of voices working from various axes of intersectional analysis. ―
Samantha Shorey, University of Texas at AustinA very high-quality book. ―
Kerry Holden, Queen Mary University LondonAbout the Author
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.
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