Solutions to fix algorithmic bias could collide with law. Two scholars propose a solution. Proposed solutions to fix algorithmic bias could conflict with Supreme Court rulings on equal protection, legal scholars note. As AI and predictive algorithms permeate ever more areas of decision making, from setting bail to evaluating job applications to making home loans, what happens when an algorithm arbitrarily discriminates against women, African-Americans, or other groups? It happens all the time.

The fact that tech has a long way to go when it comes to its lack of diversity shouldn't be news to anyone at this point. The technology sector is the third biggest contributor to the US economy. And the people behind it--from founders to hiring managers to investors--overwhelmingly look like me: white men with a visible degree of affluence. Similarly, more than 90% of American venture capitalists are white men, and those white mend tend to fund startups led by people who also look like them. And as a result, men receive 35 times more funding than women.