[screye]

Fairness in AI/ML has been a huge talking point over the last 2 years in the community. I know of around 2 panels/conferences with major industry/academic participation in the US that are scheduled in the next few months.

Contrary to the image of mathematicians being rather consequence averse metric driven people, I have found University labs place a large emphasis on trying make sure their models do not have such biases.

It is a serious issue worth attention, but the response from the community has been prompt.