> The 'technologist' would typically (I would argue) want to remove bias from data, not introduce it to make a model less effective at its intended purpose. T

> The 'technologist' would typically (I would argue) want to remove bias from data, not introduce it to make a model less effective at its intended purpose. This quote from the OP directly address that attitude: "When the field of AI believes it is neutral, it both fails to notice biased data and builds systems that sanctify the status quo and advance the interests of the powerful. What is needed is a field that exposes and critiques systems that concentrate power, while co-creating new systems with impacted communities: AI by and for the people." > The article suggests making models politically aware, which is probably standard practice in many parts of China. While that's a technically correct statement, it misses the point by a mile. Firstly, it's impossible to make non-political models: at a minimum they embed the politics of the status-quo, which is often falsely confused with the absence of "politics" (for the same reason it's hard to see the mountain itself when you're standing on top of it). Secondly, what makes a model designed to embed the politics of the Communist Party of China objectionable is not that it embeds an instance of the class "politics," but rather characteristics of that specific instance.