this post was submitted on 03 May 2024
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That is a very popular, but also very dangerous misconception. AI has all the same biases and opinions as the dataset it was trained on (and thus also those of the engineer who picked said dataset). Even if you just YOLO it by training it on "everything" and hoping it'll average out, whatever biases society itself as a whole has, the AI will happily perpetuate.
For example, folks wanted to reduce judge bias in criminal sentencing, so they created an AI... and then trained it on historical sentences. Guess what happened?
In reality, if you want to create an unbiased AI, you've got to go out of your way to carefully curate the dataset to deliberately remove bias, and almost nobody is doing that.