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Making big tech algorithms 'fair' is harder than it looks
Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...
Privacy first: Submitted data will be assigned to a randomly generated user ID and only Mozilla will have access to it. Furthermore, data won't be collected during ...
Why would a recommendation engine not suggest computer science classes to a female college student interested in that field of study? According to Bert Huang, assistant professor of computer science ...
Today, X’s feed is shaped by heuristic algorithms. These are sets of rules created by engineers. They decide what posts get more attention based on likes, shares, and activity history. Big creators ...
Although the problem of gender discrimination is already found in the music industry, music recommendation algorithms would be increasing the gender gap. Andrés Ferraro and Xavier Serra, researchers ...
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