Algorithmic Bias: Community Learning Day W/SP 2019: Resources

thinkers/writers

Joy Buolamwini

Safiya Umoja Noble

Virginia Eubanks

Cathy O'Neil 

Julia Angwen 

Sara Wachter-Boettcher

Angwin, Julia, and Hannes Grassegger. “Facebook’s Secret Censorship Rules Protect White Men From Hate Speech But Not Black Children.” ProPublica, ProPublica, 28 June 2017.

Angwin, Julia, and Surya Mattu. “Amazon Says It Puts Customers First. But Its Pricing Algorithm Doesn’t.” ProPublica, ProPublica, 20 Sept. 2016.

Bridle, James. “Something Is Wrong on the Internet.” Medium, Medium, 6 Nov. 2017.

Buolamwini, Joy, et al. “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification *.” Proceedings of Machine Learning Research, vol. 81, 2018, pp. 1–15.

Buranyi, Stephen. “Rise of the Racist Robots – How AI Is Learning All Our Worst Impulses.” The Guardian, The Guardian, 14 Feb. 2018.

Chammah, Maurice, and Mark Hansen. “Policing the Future.” The Marshall Project, The Marshall Project, 3 Feb. 2016.

Chang, Alvin. “How the Internet Keeps Poor People in Poor Neighborhoods.” Vox, Vox, 12 Dec. 2016.

Chiel, Ethan. “The Injustice of Algorithms.” The New Republic, 23 Jan. 2018.

Crawford, Kate. “The Hidden Biases in Big Data.” Harvard Business Review, 16 Jan. 2018.

Day, Matt. “How LinkedIn’s Search Engine May Reflect a Gender Bias.” The Seattle Times, 8 Sept. 2016.

Eubanks, Virginia. “High-Tech Homelessness.” American Scientist, 15 June 2018.

Ford, Glen. “4 Human-Caused Biases We Need to Fix for Machine Learning.” The Next Web, The Next Web, 26 Oct. 2018.

Garvie, Clare, et al. “The Perpetual Line-Up.” Perpetual Line Up, Georgetown Law: Center on Privacy and Technology, 18 Oct. 2016.

Jouvenal, Justin. “Police Are Using Software to Predict Crime. Is It a ‘Holy Grail’ or Biased against Minorities?” The Washington Post, 17 Nov. 2016.

Knight, Will. “Biased Algorithms Are Everywhere, and No One Seems to Care.” MIT Technology Review, MIT Technology Review, 12 July 2017. (Requires account creation)

LaFrance, Adrienne. “All-Powerful Algorithms.” The Atlantic, The Atlantic, 18 Sept. 2015.

Lewis, Rebecca. “Alternative Influence: Broadcasting the Reactionary Right on YouTube.” Data & Society, 18 Sept. 2018.

Lynch, Vince. “Three Ways to Avoid Bias in Machine Learning.” TechCrunch, TechCrunch, 6 Nov. 2018.

Mok, Kimberley. “Mathwashing: How Algorithms Can Hide Gender and Racial Biases - The New Stack.” The New Stack, 8 Dec. 2017.

Noble, Safiya. "Missed Connections: What Search Engines Say About Women". Bitch, 2012.

Noble, Safiya. "Teaching Trayvon."  The Black Scholar, vol. 44, 2014, pp.12-29.

Olson, Parmy. “The Algorithm That Helped Google Translate Become Sexist.” Forbes, 19 Feb. 2018.

Oppenheim, Maya. “Amazon Scraps ‘sexist AI’ Recruitment Tool.” The Independent, 11 Oct. 2018.

Polonski, Vyacheslav. “Mitigating Algorithmic Bias in Predictive Justice: 4 Design Principles for AI Fairness.” Towards Data Science, Towards Data Science, 24 Nov. 2018.

Resnick, Brian. “Alexandria Ocasio-Cortez Says AI Can Be Biased. She’s Right.” Vox, Vox, 23 Jan. 2019.

Rodriguez, Ashley. “Microsoft’s AI Millennial Chatbot Became a Racist Jerk after Less than a Day on Twitter.” Quartz, Quartz, 24 Mar. 2016.

Staff. “The Real Reason Tech Struggles With Algorithmic Bias.” WIRED, WIRED, 12 Feb. 2019.

Stas Sajin. “Preventing Machine Learning Bias.” Towards Data Science, Towards Data Science, 31 Oct. 2018, 

Timberg, Craig. “Racial Profiling, by a Computer? Police Facial-ID Tech Raises Civil Rights Concerns.” The Washington Post, 17 Oct. 2016.

Young Entrepreneur Council. “How Can We Eliminate Bias In Our Algorithms?” Forbes, 28 June 2018.

Zou, James, and Londa Schiebinger. “AI Can Be Sexist and Racist — It’s Time to Make It Fair.” Nature, vol. 559, no. 7714, July 2018, pp. 324–26, doi:10.1038/d41586-018-05707-8.

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