CODED BIAS
“Thought-provoking. ”Coded Bias” serves as both a wake-up call (to invasive practices the public doesn’t yet realize are being implemented) and a call to action.”
— Valerie Complex, VARIETY
CODED BIAS explores the fallout of mit media lab researcher Joy Buolamwini’s startling discovery that facial recognition does not see dark-skinned faces accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all.
SYNOPSIS
Modern society sits at the intersection of two crucial questions: What does it mean when artificial intelligence increasingly governs our liberties? And what are the consequences for the people AI is biased against? When MIT Media Lab researcher Joy Buolamwini discovers that most facial-recognition software does not accurately identify darker-skinned faces and the faces of women, she delves into an investigation of widespread bias in algorithms. As it turns out, artificial intelligence is not neutral, and women are leading the charge to ensure our civil rights are protected.