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thedude0425 t1_j3c19x7 wrote

Reply to comment by Snypnz in AI, the so called "self thinking" machine. by Bakariiin

Good answer.

The only thing that I’ll point out are that AI do develop biases for reasons we don’t quite understand yet. It’s apparently incredibly difficult to look under the hood of a neural network and understand what data points (or lack thereof) are triggering these biases.

An example are facial recognition AIs struggling to identify unique black faces.

Another would be an AI program focused on college student admissions filtering out literal poor people from an admissions process.

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Snypnz t1_j3cit1u wrote

I have also heard that about looking under the hood, when I said no biases, I meant more like a poker AI not going all in cause it thinks 6 is its lucky number kinda thing haha.

We can take guesses on what causes the biases in the examples you mentioned, like black faces maybe having less contrast in photos making it more difficult to identify features or even as simple as the training data not being diverse enough, but like you said, very hard to say for sure until we can see the exact process the AI took.

Personally I find AI a very interesting and impressive

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