Timezone: »

 
Panel
Kristian Lum · Rachel Cummings · Jake Goldenfein · Sara Hooker · Joshua Loftus

Sat Dec 03 01:30 PM -- 02:15 PM (PST) @
in Algorithmic Fairness through the Lens of Causality and Privacy »

Author Information

Kristian Lum (Twitter)
Rachel Cummings (Columbia University)
Jake Goldenfein (Melbourne Law School)

Jake Goldenfein is a law and technology scholar at Melbourne Law School and an Associate Investigator at the ARC Centre of Excellence for Automated Decision-Making and Society.

Sara Hooker (Cohere For AI)

I lead Cohere For AI, a non-profit research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research. Prior to Cohere, I was a research scientist Google Brain doing work on training models that go beyond test-set accuracy to fulfill multiple desired criteria -- interpretable, compact, fair and robust. I enjoy working on research problems where progress translates to reliable and accessible machine learning in the real-world. My research interests include algorithm transparency, security and privacy.

Joshua Loftus (London School of Economics)

More from the Same Authors