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    PBS Open Mind Interview

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    World's 50 Greatest Leaders

    "No one has done more than computer scientist Joy Buolamwini to draw attention to A.I. bias. In one widely read study, Buolamwini showed how facial-recognition technology from Microsoft, IBM, and China’s Megvii performed better when analyzing photos of lighter-skinned men than of darker-skinned women. Both Microsoft and IBM subsequently updated their tech. Her study of Amazon’s facial-scanning has been more controversial (Amazon has disputed her approach), but the friction underscores her influence as the conscience of the A.I. revolution."

    AI Has a Problem With Gender and Racial Bias. Here’s How to Solve It

    Joy Buolamwini featured in Time magazine's second annual Optimist edition guest edited by Ava DuVernay . The online version contains her "AI Ain't I A Woman?" Poem.

    Amazon slammed by AI researchers for selling ‘biased’ facial recognition...

    Source : FOX News

    "It adds to a growing body of evidence that facial recognition affects different groups differently," said Shankar Narayan, of the American Civil Liberties Union of Washington state, where the group has sought restrictions on the technology. "Joy's work has been part of building that awareness."

    Tech Review 35 under 35 - Pioneer

    Joy Buolamwini selected as 2018 MIT Technology 35 under 35 honoree for her work with the Algorithmic Justice League.

    Facial recognition technology .. Could that be used against immigrants?

    In a project that debuted Thursday, Joy Buolamwini, an artificial-intelligence researcher at the MIT Media Lab, showed facial-recognition systems consistently giving the wrong gender for famous women of color, including Oprah, Serena Williams, Michelle Obama and Shirley Chisholm, the first black female member of Congress. “Can machines ever see our grandmothers as we knew them?” Buolamwini asked.

    Facial Recognition is Accurate, if...

    Pulitzer Prize winning journalist Steve Lohr features Gender Shades Research in New York Times Article - "These disparate results, calculated by Joy Buolamwini, a researcher at the M.I.T. Media Lab, show how some of the biases in the real world can seep into artificial intelligence, the computer systems that inform facial recognition."

    Science and Technology - Feb 2018

    Source : The Economist

    "The algorithms involved have, however, long been suspected of bias. Specifically, they are alleged to be better at processing white faces than those of other people. Until now, that suspicion has been unsupported by evidence. But next week, at Fairness, Accountability and Transparency, a conference in New York, Joy Buolamwini of the Massachusetts Institute of Technology will present work which suggests it is true."

    How Does Facial Recognition Software See Skin Color?

    In Part 2 of the TED Radio Hour episode Can We Trust The Numbers?, Joy Buolamwini and she urges her colleagues to create more inclusive artificial intelligence.

    The Digital Activist Taking Human Prejudice Out of Our Machines

    "Buolamwini puts a much-needed human face on the problem of machine bias, says Solon Barocas, who runs Fairness, Accountability, and Transparency in Machine Learning, the academic world’s preeminent conference on the topic."

    A white mask worked better

    Source : The Guardian

    "When Joy Buolamwini found that facial detection technology detected her face better when she wore a white mask, she knew a problem needed fixing."

    Can tech be biased?

    CNN Money

    "We like to think of technology as neutral, but machines can actually be just as biased as the humans who develop them."


    Artificial intelligence: How to avoid...

    Source : BBC News

    "There is growing concern that many of the algorithms that make decisions about our lives - from what we see on the internet to how likely we are to become victims or instigators of crime - are trained on data sets that do not include a diverse range of people."

    Joy B. wins national contest

    Source : MIT News

    Joy Buolamwini wins national contest for her work fighting bias in machine learning. Media Lab graduate student selected from over 7,300 entrants, awarded $50,000 scholarship in contest inspired by the film "Hidden Figures."

  • CNN Feature