AI Ethics
Explore curated feminist content about AI Ethics
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12 · AI Ethics
Books
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Books · Mar 2022
The Cyberfeminism Index
Mindy SeuA pioneering work exploring feminism in the digital age, analyzing how the internet, artificial intelligence, and digital technologies are reshaping gender relations and feminist practice.
02
Books · Aug 2021
The Smart Wife: Why Siri, Alexa, and Other Smart Home Devices Need a Feminist Reboot
Yolande Strengers and Jenny KennedyYolande Strengers and Jenny Kennedy trace how voice assistants, domestic robots, and intimate technologies encode wifework into the future home, then propose a feminist reboot.
03
Books · Apr 2021
Atlas of AI
Kate CrawfordKate Crawford maps AI through minerals, energy, hidden labor, training data, classification, and state surveillance, revealing the extraction and concentrated power beneath machine intelligence.
04
Books · Mar 2020
Data Feminism
Catherine D'Ignazio and Lauren F. KleinIt proposes seven practical principles that bring power analysis, intersectionality, situated knowledge, and co-design into data work itself.
05
Books · Jul 2019
Race After Technology: Abolitionist Tools for the New Jim Code
Ruha BenjaminRuha Benjamin’s New Jim Code framework shows how racial hierarchy can be engineered, hidden by defaults, intensified through surveillance, or repackaged as a benevolent technical fix.
06
Books · Jan 2019
Artificial Unintelligence
Meredith BroussardDrawing on experience as both programmer and journalist, Meredith Broussard dismantles the belief that technology is always the best answer and maps the limits between computation, judgment, and public responsibility.
Videos
Articles
Articles · Mar 2024
Gender Bias in AI: The 2024 Wake-Up Call
UN Women & UNESCONew research reveals 44% of AI systems show gender bias, while women's underrepresentation in tech is making it worse. From ChatGPT to image generators, AI is reinforcing harmful gender stereotypes.
02Articles · Oct 2022
Not My AI: A Feminist Framework to Challenge Public-Sector Algorithmic Decisions
Joana Varon and Paz PeñaThrough Latin American public-service cases, Joana Varon and Paz Peña ask who defines problems and bears the costs when algorithms allocate benefits or predict risk.
Papers
Papers · Jun 2024
Data Feminism for AI
Lauren F. Klein and Catherine D'IgnazioKlein and D’Ignazio bring data feminism into AI research, using tenant screening, feminist data activism, and hidden annotation labor to examine power, consent, and environmental costs.
02Papers · Feb 2018
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
Joy Buolamwini, Timnit GebruA groundbreaking 2018 FAccT study revealing severe bias in commercial facial recognition systems against darker-skinned women, with error rates up to 34.7% compared to just 0.8% for lighter-skinned males.
