PBS Open Mind Interview
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
Source :TIME Magazine
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...
"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."
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
"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."
The Digital Activist Taking Human Prejudice Out of Our Machines
Source : Bloomberg Businessweek
"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."
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."
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."