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Google apologizes for ‘missing the mark’ after Gemini generated racially diverse Nazis
(www.theverge.com)
this post was submitted on 22 Feb 2024
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I don't know how you'd solve the problem of making a generative AI accurately create a slate of images that both a) inclusively produces people with diverse characteristics and b) understands the context of what characteristics could feasibly be generated.
But that's because the AI doesn't know how to solve the problem.
Because the AI doesn't know anything.
Real intelligence simply doesn't work like this, and every time you point it out someone shouts "but it'll get better". It still won't understand anything unless you teach it exactly what the solution to a prompt is. It won't, for example, interpolate its knowledge of what US senators look like with the knowledge that all of them were white men for a long period of American history.
You don't do what Google seems to have done - inject diversity artificially into prompts.
You solve this by training the AI on actual, accurate, diverse data for the given prompt. For example, for "american woman" you definitely could find plenty of pictures of American women from all sorts of racial backgrounds, and use that to train the AI. For "german 1943 soldier" the accurate historical images are obviously far less likely to contain racially diverse people in them.
If Google has indeed already done that, and then still had to artificially force racial diversity, then their AI training model is bad and unable to handle that a single input can match to different images, instead of the most prominent or average of its training set.
Ultimately this is futile though, because you can do that for these two specific prompts until the AI appears to "get it", but it'll still screw up a prompt like "1800s Supreme Court justice" or something because it hasn't been trained on that. Real intelligence requires agency to seek out new information to fill in its own gaps; and a framework to be aware of what the gaps are. Through exploration of its environment, a real intelligence connects things together, and is able to form new connections as needed. When we say "AI doesn't know anything" that's what we mean--understanding is having a huge range of connections and the ability to infer new ones.
That's why I hate that they started to call them artificial intelligence. There is nothing intelligent in them at all. They work on probability based on a shit ton of data, that's all. That's not intelligence, that's basically brute force. But there is no going back at this point, I know.