Chapter 6: Overcoming Bias in AI/ML
Bias in Artificial Intelligence (AI) is all around us. It can result in something as seemingly innocent as showing image results for developers, which include mostly men, to suggesting to a judge that a man of a certain race is at a much greater risk of being a repeat offender than others. You might think that you won't have that problem, but there are many shapes that bias can take that have nothing to do with you already being equipped to handle it.
The truth is removing all bias completely from datasets is impossible. Much of this is completely unintentional and is simply due to the lack of available data, but it doesn't matter. The damage can still be done. You'll see examples of bias in credit ratings, face detections, and others.
As AI is increasingly intertwined into the normal operations of society, it will continue to have its impact grow and have very real-world consequences felt by people. We can't claim ignorance...
