[giantg2]

"The output of an artificial neural network can be roughly defined as a conclusion obtained by generalising a limited set of observations. Surprisingly prejudice can be defined in the same way."

Not really surprising. The first thing they teach in data science is that bias is everywhere. One of the first things taught in programming is garbage in garbage out and that computers do exactly what we tell them. Once you start making decisions with biased data you will start to prejudice some group.

The quest for non-biases systems is a little like a perpetual motion machine. If we all have biases and these machines learn from the same data we do, using systems we write, how could one expect a different outcome?

The

[nerpderp82]

This is why you strive to identify the biases and move them from system 1 to system 2 thinking. AI will help humanity operate in a direct cognitive regime rather than sub-conscious one.

[bequanna]

Not all or even most subconscious influence on decision making is bad. There is plenty we can’t yet quantify and fully understand.