&gt; Which means that Schneier is wrong about quotas<p>I&#x27;m not a big fan of quotas in general, don&#x27;t think they are the end-all solution to discrimination problems, and know they can look like discrimination themselves.<p>But there is an interesting point of view to consider. When we use these kinds of algorithms to optimize some wanted result, we are always applying some form of reinforcement learning [1]. Reinforcement learning always needs to balance exploration and exploitation of our current knowledge, and quotas are one socially justifiable way to increase exploration - and not get stuck in self-reinforcing local maximum with a positive feedback cycle.<p>So, even from a purely utilitarian point of view, a certain amount of reshuffling of the cards (eg with quotas, but not limited to those) can be useful.<p>[1] <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Reinforcement_learning" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Reinforcement_learning</a>