Is removing bias more important than finding the right person ?

Bias is, by definition, not finding the right person.

What? Ok? This was a pointless circular tangent then?

"We want the best talent."

"No we don't. We want the to remove bias."

"Isn't talent more important?"

"Removing bias is finding the best talent."

That was like reading a conversation with an AI chatbot. We all agree we want the best talent then, yes?

One can argue that bias is a mistake, so removing bias improves decision-making.

So asking whether removing bias is "more important" than improving decision making is a non-sequitar: removing bias is a tool towards that goal. In a sense it's "less important" because other tools might do the job better, and in a sense it's more important because simply desiring to improve decision-making does nothing without tools to implement that desire.

That's single variable thinking, for sure. We've been living through a lot of that these past 2 years.

It's easy to solve for one variable; beyond that, one has to balance things so that primary goals (hiring capable and personable talent) are still achieved.

But I want to bias towards attracting talent?

Society has interests that conflict with your personal desires. If you believe men are better coders than women, society already prevents you from acting on your ideas. I don't see how this is significantly different, especially given how much "protected" classes clearly affect your odds of getting in to prestigious institutions.

It’s quite the opposite, being in “historically oppressed” segments of protected classes directly and openly helps your odds of getting in to prestigious institutions.

So you agree that looking for prestigious institutes on a resume is unfair and disadvantages a number of groups? I never said which way the privilege swung, merely that it's clear that "attending a prestigious institute" has never been the meritocracy it claims to be.

You can just avoid looking at the resume altogether. A fair roll of the dice removes a lot of bias.