How machine learning enables stealth quotas

Cyber security lawyer Stewart Baker writes:

Claims that machine learning algorithms disadvantage women and minorities are commonplace today. So much so that even centrist policymakers agree on the need to remedy that bias. It turns out, though, that the debate over algorithmic bias has been framed so that the only possible remedy is widespread imposition of quotas on algorithms and the job and benefit decisions they make. ...

The attack on algorithmic bias in general may have even worse consequences. That's because, unlike other antidiscrimination measures, efforts to root out algorithmic bias lead almost inevitably to quotas, as I'll try to show in this article. ...

The best explanation was probably offered years ago by Sen. Alan Simpson (R-WY): "We have two political parties in this country, the Stupid Party and the Evil Party. I belong to the Stupid Party."

He explains why regulation of artificial intelligence will lead to quotas.`Sure, AI will have hidden biases, but the cure is worse than the disease.