AI Ethics
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10 · 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 names the “New Jim Code,” showing how automated systems repackage racial control as innovation and calling for abolitionist technological imagination.
06
Books · Apr 2018
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.
Articles
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View allPapers · Jun 2024
Data Feminism for AI
Lauren F. Klein and Catherine D'IgnazioKlein and D'Ignazio apply the principles of Data Feminism to AI, calling for AI practice grounded in power analysis, intersectionality, co-design, situated knowledge, and refusal of harm.
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.