flâneur — a map of the web's best reading

Algorithm

klaudjaz.github.io · 3,081 words · saved by 1 readers

YouTube’s recommendation algorithm drives more than 700 million hours hours of watchtime per day, but no one—including its creators—fully understands how it works. For much of the past decade, Guillaume Chaslot has been trying to draw attention to a problem he helped create. A former YouTube employee who worked on artificial intelligence for YouTube’s “recommended for you” feature in 2010-11, Chaslot now devotes his time to exposing the vulnerabilities and potential for exploitation that result from the algorithmic prioritisation of engagement—time online and clicks—on the platform. While still at the company, Chaslot had started working on a project to introduce diversity into the platform’s recommendations. The project was shut down because it did not do as well for watchtime, he told NBC News. He maintains that he was fired in 2013 for asking too many questions about how the company managed the algorithm. Chaslot now works as an advisor for Center for Humane Technology, and is the

Algorithm An enigmatic algorithm INSERT SUBTITLE --> --> BY KLAUDIA JAZWINSKA 20 September 2019 YouTube’s recommendation algorithm drives more than 700 million hours hours of watchtime per day, but no one—including its creators—fully understands how it works. Insert a section heading --> For much of the past decade, Guillaume Chaslot has been trying to draw attention to a problem he helped create. A former YouTube employee who worked on artificial intelligence for YouTube's "recommended for you" feature in 2010-11, Chaslot now devotes his time to exposing the vulnerabilities and potential for

Explore this link on the map →

related reading