If I search for "food", the reasonable result would be to get images that represent food according to its actual proportions of real life. E.g. if Pizza is the most common food at 10% prevalence, 10% of the images should be pizza.

That's not what OpenAI are doing.

They are introducing crafted biases to create images that deliberately misrepresent what the world looks like, and instead represent what they believe the world ought to look like.

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You also need some reason why diversity "of this" is important but not diversity "of that". Why is diversity of race and sex so critical, but not diversity of age, height, disability? Should a search for "basketball player" yield 1/2 able-bodied people and 1/2 wheelchair basketball players? Why?

Then try to answer where you came up with the categories you do want depicted. Why are the races what they are? Should "basketball player" include half whites and half black people? Or maybe split in 3, white/black/Asian? Why not Australian Aborigines, native Americans, or Persians - so we can divide into 6? If you don't add Indian people to your list then, is that racist against them? How did you decide what must be represented, in what proportions, and what's okay to leave out?