Spotlight — Coded Bias

Is the US really in an AI race with China—or are we racing toward completely different finish lines?In this episode, Tristan Harris sits down with China experts Selina Xu and Matt Sheehan to separate fact from fiction about China's AI development. They explore fundamental questio ...  Afficher plus

No matter where you sit within the economy, whether you're a CEO or an entry level worker, everyone's feeling uneasy about AI and the future of work. Uncertainty about career paths, job security, and life planning makes thinking about the future anxiety inducing. In this episode, ...  Afficher plus

In 2015 an MIT Researcher set out to build a mirror that would augment their face to look like those of their idols. The execution of this went well, until it came to testing. When the researcher came to use the mirror, no face was detected. The researcher was not detected in the ...  Afficher plus

With every breakthrough, computer scientists are pushing the boundaries of artificial intelligence (AI). We see it in everything from predictive text to facial recognition to mapping disease incidence. But increasingly machines show many of the same biases as humans, particularly ...  Afficher plus

What happens when an algorithm gets it wrong? In the first of a four-part series on face recognition, Jennifer Strong and the team at MIT Technology Review explore the arrest of a man who was falsely accused of a crime using facial recognition. The episode also starts to unpack t ...  Afficher plus

You may not know Latanya Sweeney's name, but as much as any other single person — and with good humor and grace as well as brilliance — she has led on the frontier of our gradual understanding of how far from anonymous you and I are in almost any database we inhabit, and how far ...  Afficher plus