The Society’s newest cohort of changemakers will transform their fields and the understanding of our world
The Algorithmic Justice League (AJL), a project led by Civic Media alum Joy Buolamwini, has won an Award of Distinction at this conference.
Recognizing individuals who demonstrate a real commitment to building a diverse and inclusive tech community and making a Better World
These awards recognize outstanding achievement and innovation in the field.
The University of South Carolina profiles its alum Blakeley Payne, now a master’s student in the Personal Robots group.
Congratulations to Joy Buolamwini and Amanda Nguyen for being recognized in the "Advocates" category.
Joy Buolamwini talks to Frontline about bias in AI, and what can be done about it.
The Root 100 is our annual list of the most influential African Americans, ages 25 to 45.
Commending a formidable variety of international change-makers driving digital transformation in government.
These 50 women made bold moves, raised major capital, and wowed us with their fearless vision.
Joy Buolamwini was honored for her work exposing race and gender bias in commercial artificial intelligence (AI).
Humanity is facing thorny problems on all fronts. These folks are working to solve them—and trying to avoid the unintended consequences.
A new curriculum that helps children understand how algorithms are designed will keep them safe and motivate them to help shape the future.
An exhibition at the Barbican in London features work from OpenAg, the Mediated Matter group, Joy Buolamwini, and more.
Ethan Zuckerman speaks at a gathering of Senators and Representatives who came to MIT for an Aspen Institute event in May, 2019.
Cristina Quinn shares what she learned in a visit to the AI + Ethics summer camp run by Personal Robots group student Blakeley Payne.
Joy Buolamwini has been selected as one of Fortune Magazine’s “40 Under 40.”
Fortune Magazine has named Joy Buolamwini to its 2019 list of the World's Greatest Leaders.
Joy Buolamwini talks to the AP about her work on algorithmic bias.
An open letter asking Amazon to stop selling Rekognition to law enforcement agencies.
More than three dozen AI researchers have signed an open letter asking Amazon to stop selling Rekognition to law enforcement agencies.
Now activists are working to bring women, and feminism, back to Silicon Valley.
Tech companies working on artificial intelligence find that a diverse staff can help avoid biased algorithms that cause public embarrassment
Joy Buolamwini’s essay is featured in the Optimists issue of Time, guest-edited by Ava DuVernay.
So far Amazon’s frontline defense against advocates and academics has been: Researchers are setting the search parameters incorrectly.
Amazon’s system had more difficulty identifying the gender of female and darker-skinned faces than similar services from IBM and Microsoft.
The technology could revolutionize policing, medicine, even agriculture—but its applications can easily be weaponized.
Joy Buolamwini identifies bias in algorithms and develops practices for accountability during design.
The 2019 Forbes 30 Under 30 list includes at least three members of the Media Lab community.
Joy Buolamwini showed facial-recognition systems consistently giving the wrong gender for famous women of color.
J. Nathan Matias and Joy Buolamwini are two of Fast Company's four design heroes.
A.I. systems are shaped by the priorities and prejudices…of the people who design them, a phenomenon that I refer to as "the coded gaze."
"We have to continue to check our systems, because they can fail in unexpected ways."
A case study implemented by Inioluwa Raji under the guidance of Joy Buolamwini
All people are created equal, but in the eyes of the algorithm, not all faces are just yet.A new study from MIT and Microsoft r...
A new review of face recognition software found that, when identifying gender, the software is most accurate for men with light skin...
New research out of MIT’s Media Lab is underscoring what other experts have reported or at least suspected before: facial recognition tec...
Examination of facial-analysis software shows error rate of 0.8 percent for light-skinned men, 34.7 percent for dark-skinned women.
Real-world biases and artificial intelligence
Joy Buolamwini founded the Algorithmic Justice League to make people aware of the bias embedded in our networks.
Welcoming three LEGO Papert Fellows and six Learning Innovation Fellows to our new cohort
Joy Buolamwini's TED Talk
Algorithms used by the police are better at identifying some racial groups than others. Why is hardly anyone studying this?
Facial recognition technology is known to struggle to recognize black faces. The underlying reason for this shortcoming runs deeper than ...
Joy Buolamwini founded the Algorithmic Justice League to fight bias in machine learning. She's a social impact technologist, filmmaker, s...
Joy Buolamwini wins a grand prize in a national contest inspired by the film Hidden Figures to support young women in STEM.