Twitter to analyse if its algorithms are causing unintentional harms, gender or racial bias

Twitter is going to analyse and study its existing algorithms that offer content recommendations and crop images on the platform.

Twitter has formed a META ( ML Ethics, Transparency and Accountability) team of engineers, researchers, and data scientists to assess downstream the “current unintentional harms in the algorithms” that Twitter uses. Twitter noted that the plan called the Responsible Machine Learning Initiative will study Twitter’s existing algorithms that offer content recommendations and crop images on the platform. The team will also study the effects that the use of algorithms can have over time. Trying a horrible experiment...Which will the Twitter algorithm pick: Mitch McConnell or Barack Obama? pic.twitter.com/bR1GRyCkia Several people have attributed the issue to contrast, dramatically raising the contrast on Obama and decreasing it until McConnell is a dull grey.While this may get the algorithm to select the other image, it doesn't address the core problem.https://t.co/JvUXUGukBM “When Twitter uses ML, it can impact hundreds of millions of Tweets per day and sometimes, the way a system was designed to help could start to behave differently than was intended. These subtle shifts can then start to impact the people using Twitter and we want to make sure we’re studying those changes and using them to build a better product,” Twitter noted in a blog post.