Comment by slg

Comment by slg a day ago

This is what was often missed in the previous round of AI discourse that criticized these companies for forcing diversity into their systems after the fact. Every suave spy being Daniel Craig is just the apolitical version of every nurse being a woman or every criminal being Black. Converging everything to the internet's most popular result represents an inaccurate and a dumped down version of the world. You don't have to value diversity as a concept at all to recognize this as a systemic flaw of AI, it is as easy as recognizing that Daniel Craig isn't the only James Bond let alone the only "suave English spy".

dcow a day ago

It’s only a flaw insofar as it’s used in ways in which the property of the tool is problematic. Stereotypes are use for good and bad all the time, let’s not pretend that we have to attack every problem with a funky shaped hammer because we can’t admit that it’s okay to have specialized tools in the tool belt.

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slg a day ago

I don't follow your analogy. Is the "specialized tool" the AI or the way that it returns "problematic" results? Because I'm not saying the system is bad for using negative stereotypes. I'm saying the system is bad because it removes natural variety from the results making them misleading. The reliance on stereotypes are just one example of this phenomenon with another example being "suave English spy" only returning Daniel Craig.

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- dcow a day ago
  
  I guess I’m saying that the specific application of stereotypes may be a feature. I don’t think we’ll see a single prevailing winner takes all model, so there is diversity in that respect too. And I think you will even see diversity from a single model. In other words, I don’t think Daniel Craig is the only thing a model will return for “suave english spy”. Just a cheap and easy one.
  
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