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Mashable reporter Adele Walton spotlights Joy Buolamwini PhD '22 and her work in uncovering racial bias in digital technology. “Buolamwini created what she called the Aspire Mirror, which used face-tracking software to register the movements of the user and overlay them onto an aspirational figure,” explains Walton. “When she realised the facial recognition wouldn’t detect her until she was holding a white mask over her face, she was confronted face on with what she termed the ‘coded gaze.’ She soon founded the Algorithmic Justice League, which exists to prevent AI harms and increase accountability.”

Los Angeles Times

Los Angeles Times reporter Brian Merchant spotlights Joy Buolamwini PhD '22 and her new book, “Unmasking AI: My Mission to Protect What is Human in a World of Machines.” “Buolamwini’s book recounts her journey to become one of the nation’s preeminent scholars and critics of artificial intelligence — she recently advised President Biden before the release of his executive order on AI — and offers readers a compelling, digestible guide to some of the most pressing issues in the field,” writes Merchant.

The Boston Globe

Joy Buolamwini PhD '22 speaks with Brian Bergstein of The Boston Globe’s “Say More” podcast about her academic and professional career studying bias in AI. “As I learned more and also became familiar with the negative impacts of things like facial recognition technologies, it wasn’t just the call to say let’s make systems more accurate but a call to say let’s reexamine the ways in which we create AI in the first place and let’s reexamine our measures of progress because so far they have been misleading,” says Buolamwini

The Boston Globe

Joy Buolamwini PhD '22 writes for The Boston Globe about her experience uncovering bias in artificial intelligence through her academic and professional career. “I critique AI from a place of having been enamored with its promise, as an engineer more eager to work with machines than with people at times, as an aspiring academic turned into an accidental advocate, and also as an artist awakened to the power of the personal when addressing the seemingly technical,” writes Buolamwini. “The option to say no, the option to halt a project, the option to admit to the creation of dangerous and harmful though well-intentioned tools must always be on the table.”

Diverse Issues in Higher Education

Joy Buolamwini PhD ’22 has been named one of Diverse: Issues in Higher Education’s Top Women for 2023 for her work in developing “more equitable and accountable technology.” Buolamwini “uncovered racial and gender bias in AI services from high profile companies such as Microsoft, IBM and Amazon. Now a sought-after international speaker, Buolamwini continues to advocate for algorithmic justice,” writes Diverse: Issues in Higher Education.

New York Times

Graduate student Joy Buolamwini joins Kara Swisher on The New York Times' “Sway” podcast to discuss her crusade against bias in facial recognition technologies. “If you have a face, you have a place in this conversation,” says Buolamwini.

NBC News

NBC News reporters Lindsay Hoffman and Caroline Kim spotlight graduate student Joy Buolamwini’s work uncovering racial and gender bias in AI systems in a piece highlighting women who are “shattering ceilings, making groundbreaking discoveries, and spreading public awareness during the global pandemic.” Hoffman and Kim note that Buolamwini’s research "helped persuade these companies to put a hold on facial recognition technology until federal regulations were passed.”

Fast Company

Fast Company reporter Amy Farley spotlights graduate student Joy Buolamwini and her work battling bias in artificial intelligence systems, noting that “when it comes to AI injustices, her voice resonates.” Buolamwini emphasizes that “we have a voice and a choice in the kind of future we have.”


Prof. Ethan Zuckerman, director of the MIT Center for Civic Media, speaks with Vox about the potential cognitive impact of using new digital technologies. “The interesting question is what are the real problems and how do we address them and make them better?” says Zuckerman. “How would you mitigate those harmful effects? What are the positive effects we want out of it?”

Fortune- CNN

Fortune reporters Aaron Pressman and Adam Lashinsky highlight graduate student Joy Buolamwini’s work aimed at eliminating bias in AI and machine learning systems. Pressman and Lashinsky note that Buolamwini believes that “who codes matters,” as more diverse teams of programmers could help prevent algorithmic bias. 


Zofia Niemtus writes for The Guardian about tech startups focused on helping breastfeeding mothers. Niemtus notes that MIT’s second “Make The Breast Pump Not Suck!” hackathon, which focused on marginalized groups in society, resulted in projects like “a pop-up shelf for pumping in unsanitary public places; a lactation kit for use in disaster zones; and a virtual reality app.”

In a Co.Design article, MIT research fellow Amber Case, explains the problems of the blue light used in a wide array of displays including smart phones. To deal with the interruptions in sleep cycles, Case suggests that displays can stay, “blue during the day–as long as that light switched to an orangish hue as evening comes.”

New York Times

In an article for The New York Times, graduate student Joy Buolamwini writes about how AI systems can often reinforce existing racial biases and exclusions. Buolamwini writes that, “Everyday people should support lawmakers, activists and public-interest technologists in demanding transparency, equity and accountability in the use of artificial intelligence that governs our lives.”


Salon’s Heather Digby Parton highlights research from Prof. Ethan Zuckerman regarding the effects of online media on the last election. The study found that clickbait news sites “received amplification and legitimation through an attention backbone that tied the most extreme conspiracy sites.”

New York Times

Writing for The New York Times Magazine, Wil S. Hylton highlights Prof. Ethan Zuckerman’s work examining how information travels around the internet. Zuckerman and his colleagues examined whether the internet, “serves mainly as a distribution network for the articles on major media, or if small blogs and websites can funnel their own stories back into the mainstream press.”