Women in AI: Additional Resources
We hope you enjoyed the Women in AI program today. If you would like to learn more about this, and other related subject matter, here are some recommended resources.
Books
Algorithms of Oppression: How Search Engines Reinforce Racism
By Safiya Umoja Noble
“A revealing look at how negative biases against women of color are embedded in search engine results and algorithms.”
Artificial Unintelligence: How Computers Misunderstand the World
By Meredith Broussard
“A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right.”
Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor
By: Virginia Eubanks
“A powerful investigative look at data-based discrimination–and how technology affects civil and human rights and economic equity.”
Invisible Women: Exposing Data Bias in a World Designed for Men
By Caroline Criado-Perez
“Examining the home, the workplace, the public square, the doctor’s office, and more, Criado Perez unearths a dangerous pattern in data and its consequences on women’s lives.”
Race after technology: abolitionist tools for the new Jim code
By: Ruha Benjamin
“Cutting through tech-industry hype, this book explores how emerging technologies reinforce white supremacy. Conceptualizing the “New Jim Code,” Benjamin shows how discriminatory designs can encode inequity and also makes a case for race itself as a kind of tool designed to stratify and sanctify social injustice”
Technically Wrong: Sexist Apps, Biased Algorithms, and Other Threats of Toxic Tech
By: Sara Wachter-Boettcher
“A revealing look at how tech industry bias and blind spots get baked into digital products–and harm us all.”
The Age of Surveillance Capitalism: the Fight for a Human Future at the New Frontier of Power
By Shoshana Zuboff
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
By: Cathy O’Neill
“A former Wall Street quaint sounds an alarm on the mathematical models that pervade modern life and threaten to rip apart our social fabric.”
Online Resources
“Written in 2018 by Mimi Onuoha and Mother Cyborg (Diana Nucera), A People’s Guide to AI is a comprehensive beginner’s guide to understanding AI and other data-driven tech. The guide uses a popular education approach to explore and explain AI-based technologies so that everyone—from youth to seniors, and from non-techies to experts—has the chance to think critically about the kinds of futures automated technologies can bring.”
<A+> Alliance for Inclusive Algorithms
One of today’s panelists, Renata Avila, co-founded <A+> Alliance for Inclusive Algorithms to bring more gender, social and racial justice to the future of automation.
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