Co-organizer Nikita Aggarwal @nikitaggarwal@twitter.com of @uclalaw@twitter.com delivering closing remarks from today's symposium on #AutomatingBias (and ending my tweeting on the subject).
Cre moderating panel 3 at #AutomatingBias @CreOhioState@twitter.com @OSU_Law@twitter.com Watch here: https://yeshiva-university.zoom.us/j/97327183133
Kathleen Engel of @Suffolk_Law@twitter.com bringing the third panel to its conclusion by discussing whether competition can prevent algorithmic bias at #AutomatingBias. Join us here: https://yeshiva-university.zoom.us/j/97327183133
Vijay Raghavan @VijayVRaghavan@twitter.com of @brooklynlaw@twitter.com talking about his new paper, “Benchmarking Discrimination,” at the #AutomatingBias symposium. Tune-in now: https://yeshiva-university.zoom.us/j/97327183133
Colin Hector of the @FTC@twitter.com at the #AutomatingBias symposium discussing #DarkPatterns and other issues the FTC is addressing in the consumer credit markets. @CardozoLRev@twitter.com
Panel 3 starting now. #AutomatingBias @CardozoLaw@twitter.com with @CreOhioState@twitter.com of @OSU_Law@twitter.com, @VijayVRaghavan@twitter.com of @brooklynlaw@twitter.com, Kathleen Engel of @Suffolk_Law@twitter.com, Cassandra Jones Havard of @SCarolinaLaw@twitter.com and Colin Hector of @FTC@twitter.com. Follow along: https://yeshiva-university.zoom.us/j/97327183133 @CardozoLRev@twitter.com
Patrice Ficklin and Carol Evans, from the @CFPB@twitter.com’s fair lending office, are leading our lunchtime discussion at #AutomatingBias, @CardozoLaw@twitter.com’s symposium @CardozoLRev@twitter.com.
Watch here: https://yeshiva-university.zoom.us/j/97327183133
Good turnout today at the @CardozoLRev@twitter.com symposium on #automatingbias
I agree with @Hoopes_Fintech@twitter.com of @Upstart@twitter.com that fairness demands that lenders regularly seek to update and improve their models and that regulators, such as the @CFPB@twitter.com, should push lenders to do so.
Follow along at https://yeshiva-university.zoom.us/j/97327183133 #AutomatingBias
Moderating panel 2, @PamelaFoohey@twitter.com of @CardozoLaw@twitter.com asks a question of “what is fairness?” that is generating a good set of answers about accuracy, financial inclusion, and potential trade-offs between the two. #AutomatingBias
Nizan Packin @NizanGP@twitter.com of @Baruch_Zicklin@twitter.com breaks out the Prezi presentation to discuss her work with @LevAretz@twitter.com on Decentralized Credit Scores (blockchain-based financial inclusion techniques). #DeFi #AutomatingBias @CardozoLRev@twitter.com
Nat is discussing this paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=61316, which found that @Upstart@twitter.com lent much further down into the credit spectrum and offered better rates than these consumers often received from fringe lenders. @Hoopes_Fintech@twitter.com #AutomatingBias @CardozoLRev@twitter.com
Getting started now at the #AutomatingBias symposium @CardozoLRev@twitter.com is @Hoopes_Fintech@twitter.com of @Upstart@twitter.com talking about the #InvisiblePrimes paper reviewing Upstart’s ability to expand credit access.
So grateful to Nat for presenting the views of a market participant.
#automatingbias #invisibleprimes
PR Stark of @FinRegLab@twitter.com talking about their quantitative and qualitative research into the fairness and disparate impact of #ML’s use in consumer credit markets. #AutomatingBias hosted by @CardozoLRev@twitter.com
Panel 2 is underway at #AutomatingBias at @CardozoLaw@twitter.com with @danbjork@twitter.com @Hoopes_Fintech@twitter.com @NizanGP@twitter.com @PamelaFoohey@twitter.com and PR Stark of @FinRegLab@twitter.com @Upstart@twitter.com @Baruch_Zicklin@twitter.com @BrownUniversity@twitter.com
How does a consumer prove that they’re paying supracompetitive rates or have predatory terms when the market for consumer credit is already so fractured, such that different borrowers face relatively thicker and thinner markets? #AutomatingBias
David Carlson of @cardozolaw@twitter.com is running a wonderful Q&A session with @TaliaGillis@twitter.com of @ColumbiaLaw@twitter.com, @tjanger@twitter.com of @brooklynlaw@twitter.com, and @katwesq@twitter.com of @theSBPC@twitter.com at #AutomatingBias.
I have so many questions about the market for consumer credit and how ML algorithms will further fracture it
Forthcoming paper from @theSBPC@twitter.com will discuss the @Upstart@twitter.com monitorship, using it as a case study to peer under the hood of lending algorithms @NAACP_LDF@twitter.com @CardozoLRev@twitter.com #automatingbias @katwesq@twitter.com
Kat Welbach @katwesq@twitter.com of @theSBPC@twitter.com talking about credit invisibles, credit expansion, and risks of algorithmic credit underwriting at the @CardozoLRev@twitter.com symposium today in #AutomatingBias, which is being recorded.
Ted Janger (@tjanger@twitter.com) of @brooklynlaw@twitter.com talking about his new paper with @LiebBlock@twitter.com of @FordhamLaw@twitter.com on predatory discrimination (making money off of poor people and how it interacts with structural racism). #automatingbias