Joy Buolamwini: How I'm fighting bias in algorithms
MIT grad student Joy Buolamwini was working with facial analysis software when she noticed a problem: the software didn't detect her face -- because the people who coded the algorithm hadn't taught it to identify a broad range of skin tones and facial structures. Now she's on a mission to fight bias in machine learning, a phenomenon she calls the "coded gaze." It's an eye-opening talk about the need for accountability in coding ... as algorithms take over more and more aspects of our lives.
Kriti Sharma: How to keep human bias out of AI
AI algorithms make important decisions about you all the time -- like how much you should pay for car insurance or whether or not you get that job interview. But what happens when these machines are built with human bias coded into their systems? Technologist Kriti Sharma explores how the lack of diversity in tech is creeping into our AI, offering three ways we can start making more ethical algorithms.
Mitch Resnick: Let's teach kids to code
Coding isn't just for computer whizzes, says Mitch Resnick of MIT Media Lab -- it's for everyone. In a fun, demo-filled talk Resnick outlines the benefits of teaching kids to code, so they can do more than just use new tech toys but also create them.