Recommended Reading: Notes on AI Bias

I just read and enjoyed this:

Machine learning finds patterns in data. ‘AI Bias’ means that it might find the wrong patterns – a system for spotting skin cancer might be paying more attention to whether the photo was taken in a doctor’s office. ML doesn’t ‘understand’ anything – it just looks for patterns in numbers, and if the sample data isn’t representative, the output won’t be either. Meanwhile, the mechanics of ML might make this hard to spot.

Read “Notes on AI Bias”