It's almost election season in California, and this year marks the 25th anniversary since the introduction of the California Voting Rights Act, a law intended to eliminate electoral systems that dilute the voting power of racial minorities. Since the CVRA took effect in 2003, the Act transformed California's electoral systems. But did it create fair representation for people of color? On today's episode, Berkeley Law students Zach Griggy and Jonah Smith join Source Collect to discuss their student Note, Beyond District Lines: Rethinking the California Voting Rights Act's Promise of Fair Representation.

Algorithms shape our modern world, determining everything from which ads we might see on Instagram to who is afforded access to credit. Yet if you're not a machine learning engineer, it's hard to discern what decisions go into the development of these algorithms. That question -- what input decisions go into the creation of machine learning algorithms -- motivated Professor Fanna Gamal's latest article, The Algorithmic Racial Proxy. Professor Gamal, Assistant Professor of Law at UCLA School of Law, noticed that developers often exclude race and racial proxy variables as an input when creating machine learning algorithms.