In Defense of Stanford’s AI Race Swap
We no longer have to play the charade of accepting unqualified minority students to achieve the aesthetic goal of equity. We can reach that goal with a 10-word prompt.

Using AI to achieve “diversity” is far preferable to admitting unqualified candidates.
The hyperfixation on diversity is a hyperfixation on race, which is ultimately superficial. So, why not use a superficial method to “fix” the problem? We no longer have to play the charade of accepting unqualified minority students to achieve the aesthetic goal of equity. We can reach that goal with a 10-word prompt.
A couple of weeks ago, Garret, our Editor-in-Chief, and I interviewed with CNN about the national discussion over our AI race-swap piece. When asked my position on the AI race swap, I told CNN that it was “a beautifully poetic representation of how all DEI policies work in practice. They are always inherently discriminatory, ineffective, and should be stopped in all forms. In this case, the goal was diversity, and they strayed so far from it.”
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