tl;dr:"Machine learning finds patterns in data. ‘AI Bias’ means that it might find the wrong patterns". Article runs through examples and scenarios of bias, along with methods to troubleshoot and manage such issues.
tl;dr: Large platforms are mechanical turks relying on users to "create, capture and channel human annotation" e.g. FB knows your likes once you hit "like", in doing so it has found a point of leverage. Such platforms need a lot of users but, crucially, ML doesn't. This will change the point of leverage.