Experts say open sourcing Twitter's algorithm will not increase transparency because recommendation engines are complex and use an immense fire hose of data
Conservatives have long claimed discrimination by the social network, but there's no one algorithm that could prove it, researchers say Tweets: @chrismessina , @kevinmarks , @peterwsinger , @nbashaw , and @hypervisible Tweets: @chrismessina : So @elonmusk wants to increase trust + transparency in Twitter by open-sourcing its algorithm; is it logically equivalent that open sourcing the full self-driving mode AI + algorithms would increase pubic trust in Tesla? https://www.washingtonpost.com/ ... /by @ReedAlbergotti Kevin Marks / @kevinmarks : @Techmeme @ReedAlbergotti When I was at Google, I would explain that open sourcing the algorithm would only help if you have a copy of the web in RAM and several thousand servers. Instead we built an api, OpenSocial, that let you run an app on the users feed and friends in context. FB hated it. Peter W. Singer / @peterwsinger : “But Musk's proposal probably represents a gross oversimplification of how it would work” https://www.washingtonpost.com/ ... A Pattern Nathan Baschez / @nbashaw : Cool to see the idea of ‘algorithm choice’ mentioned in WaPo! I agree with the basic premise of the article, which is that inspecting ML algorithms to understand how they work is devilishly hard. Transparency would have less impact than choice, imo. https://www.washingtonpost.com/ ... https://twitter.com/... @hypervisible : “The algorithm is not one thing” https://www.washingtonpost.com/ ... Expand More For Next Unexpand More For Next