Unfortunately with actual real-world policies like affirmative action that implement reverse racism and sexism in corporations and universities throughout the United States, often the people at these meetings *are less qualified* than ones who did not get hired under same policies.
Human brains are Bayesian filters. Affirmative action policies will understandably influence the prior even among individuals who believe in diversity and inclusion.
When she "starts talking," a fair-minded individual will develop a posterior that appropriately updates any suspicions that were previously held.
A truly Bayesian machine never eliminates the old priors. It updates them, but they remain in there. If somebody starts behind, they stay behind, forever.
And while there are some who are fair-minded, many are not. So such a person is in a lose-lose situation. Those with bias will discriminate against them -- and "fair minded individuals" will use take their poor relative performance to inform their prior. Try to compensate for that, and those fair minded individuals use that, too, against them.
So "fair-mindedness" leads us to perpetuate discrimination. Which doesn't seem very fair.
Human brains are Bayesian filters. Affirmative action policies will understandably influence the prior even among individuals who believe in diversity and inclusion.
When she "starts talking," a fair-minded individual will develop a posterior that appropriately updates any suspicions that were previously held.