From advertising and finance to HR and surveillance, facial recognition software has become a ubiquitous presence in our lives. But who does it protect and who does it single out? Follow MIT Media Lab researcher Joy Buolamwini on her quest to investigate the racial bias buried within this machine-learning algorithm—one whose developer bias makes it more likely to falsely identify people with darker skin tones. What she learns drives her to push the U.S. government to create the first-ever legislation to counter the dangers of this controversial technology. Will they take heed? Comprehensive and highly informative, Coded Bias offers a cautionary look at the unseen side effects of contemporary society's algorithmic underpinnings.
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