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I don’t think that follows at all I think what they would prefer is that both AI developers and users of AI systems are aware that this is what is being fed to them and that without purposefully going to avoid stereotypes you’re going to get stereotypes.

I don’t think that’s the article was trying to say that AI is inherently racist or inherently is causing people to be racist, it’s that AI is still seeing as authoritative. If you just ask AI show me a picture of someone from a specific culture ask and it shows very stereotypical result, I wouldn’t call the AI result. Racist what I would say is the problem is that the person viewing this might except that this is an authoritative answer this is what progrsmmers and maths have shown is undoubtably, a true accurate representation of a person from such a culture, and the end-user is no more aware how this picture was formed, or whether or not the AI considers to be a stereotypical representation

I think the focus on the Barbies around the world from AI generation was a good example as it does. Kind of show some very strange interpretations of different cultures. Now granted we need to take this with a grain of salt because we don’t know the queries we don’t know the exact models and stuff like that but that’s not really the point the point is more that AI in person to use AI frequently treat the AI output as authoritative. There is no indication if the AI maybe it wasn’t able to get a good idea of what your request was if they maybe had a lack of confidence in what they are responding, you just get a results and it seems with all the white papers and with the buzz around AI that it’s an authoritative result

I am not a stranger to using AI to assist with tasks, something like a quickly converting from one syntax to another, is something I do on a fairly regular basis the difference, however, between using AI like that, and using it as an authoritative source is that I would check the queries or the code that’s produced by the AI. I would not accept it blindly. I will double check and make sure since at some point I need to run this code in real environments. I think that is what the article was trying to say is that AI is very cool and I can do some very cool things but if you’re not understanding how it’s doing what it’s doing and not checking it output and trusting the AI blindly that is where it has a problem. And I would agree with the article if this is what I’m trying to say,

I don’t think it’s so much about moderating speech or anything like that, not that it must not produce certain outputs; It’s more long lines of there is simply too much implicit trust in how AI works in the output that AI produces. And I would agree with the article if this is what I’m trying to say, I don’t think it’s so much about curtailing speech or anything like that or that so must must not produce certain outputs. It’s more along the lines of people’s Trust in how AI works and in the output that it gives and s stereotypes users are probably giving it bad inputs to produce these outputs, which are quite stereotypical and very often incorrect.

I think, showing more about how the AI understood the prompt and how the output was produced, such as sources, or may be certain key words and examples of images, that the AI associate with his key words would help the users to understand why they are getting this out put and also it would help them understand may be watch the words they use in their props are associated with, and maybe understand a bit more about why their innocent understanding of their problems or questions may be is not as innocent as they thought originally. It doesn’t have to lecture them. It simply needs a show “X is associated with Y in this model and that’s produced Z” and let the users draw their own conclusions.