Very nice article on the Wikipedia success. Or why being boring and the ultimate process pettiness became the crucial part of the formula. This community really developed a fascinating culture which so far resists to mounting political pressure... But will the editors morale hold?

Those hosted models really exhibit weird biases... The control of the context is really key.

Very good primer on a widespread and very hard to avoid bias. This is why it's hard for projects to properly meet deadlines.

A bit too GitHub centric for my taste. Still it shows some unwarranted bias, especially when outsiders to a project are identified as women. We should do better.

Wondering where some of the biases of AI models generating images come from? This is an excellent deep dive into one of the most successful data sets used to train said models. And they've been curated by... statistical models not humans. This unsurprisingly amplifies biases all the way to the final models.

This is an excellent piece, I highly recommend reading it.

A bad solution in search of a problem basically. Let's look at the alternatives and fund proper solutions to why people are victimized, shall we?

Lays out the ethical problems with the current trend of AI system very well. They're definitely not neutral tools and currently suffer from major issues.