A.I. Systems Echo Biases They’re Fed, Putting Scientists on Guard

Re:A.I. Systems Echo Biases They’re Fed, Putting Scientists ... by Izkata on Thursday November 14, 2019 @08:40AM (#21535244)

Overfitting is about being too precise because of the sample inputs, such as if "downward angle" + "brown blob" (one specific dog breed) + "leash" + "lots of green" (grass) was required to identify a dog. GP's example wasn't that, it was just identifying the wrong thing.

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Re:A.I. Systems Echo Biases They’re Fed, Putting Scientists ... by XuMiao on Friday November 15, 2019 @12:52PM (#21546981)

Instead of overfitting , it's more related to exploitation vs exploration. We see more men related to programming might be just that women are not given opportunities to explore the programming as a career.

When AI makes a decision, right now, people only uses the probability output. Hiring A has .6 probability while hiring B has .4. then we will hire A instead of B. However, if we consider the confidence intervals, the decision might not be that clear. Say +/- .5 to hire A but .2 to hire B. If exploration is considered too, very likely that we will give B a chance.

AI is in the realm of probabilistic decision making, while normal people don't follow. The bias is not from the training side. It's the decision making process incorporating AI should change.

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