The fear of algorithmic decision-making and surveillance capitalism dominate today's tech policy discussions. But instead of simply criticizing big data and automation, we can harness technology to correct discrimination, historical exclusions, and subvert long-standing stereotypes.

Orly Lobel is the author of The Equality Machine: Harnessing Digital Technology for a Brighter, More Inclusive Future and Warren Distinguished Professor of Law at the University of San Diego School of Law. Lobel is one of the nation's foremost legal experts on labor and employment law. She is also one of the nation's top-cited young legal scholars.

Orly and Greg discuss how collecting more data and adding more inputs into decision algorithms may be beneficial to expose disparities in current frameworks in the real world, and help us to right past injustices and ongoing inequities.

Gregory LaBlanc is a lifelong educator with degrees in History, PPE, Business, and Law, Greg currently teaches at Berkeley, Stanford, and HEC Paris. He has taught in multiple disciplines, from Engineering to Economics, from Biology to Business, from Psychology to Philosophy. He is the host of the unSILOed podcast. unSILOed is produced by University FM.

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