Sara Hillenmeyer, Payscale's Director of Data Science, and Lulu Seikaly, Senior Corporate Attorney @ Payscale, join Ruth & Russ to discuss a recent article about two brothers who both drive for Uber. The brothers recently conducted an experiment. They opened their Uber apps while sitting in the same room, and tested which brother could earn more money to do the same work. They found that Uber showed them nearly identical jobs but offered to pay one of them a little better. The siblings could only guess why. Had Uber's algorithm somehow calculated their worth differently and how did they do that?  

We discuss this topic and the broader implications of algorithmic pay.

Related links:

New NY Anti Bias in AI Law effective this month https://hrexecutive.com/why-ai-is-not-a-get-out-of-jail-free-card-for-talent-bias/?oly_enc_id=5456A4959923A9Y  

The potential of "algorithmic wage discrimination": 

https://www.npr.org/2023/04/25/1171800324/rideshare-drivers-raise-questions-about-how-algorithms-set-drivers-pay-rates?utm_source=facebook.com&utm_campaign=npr&utm_medium=social&utm_term=nprnews