Add to ORKGThis symposium explores the use of artificial intelligence (AI) in consumer credit markets and the legal and policy issues surrounding these practices. 9:30-9:35 a.m. - Welcome - Dean Melanie Leslie (Cardozo School of Law) and Sarika Andavolu, Editor-in-Chief of Cardozo Law Review 9:35-9:55 a.m. - Introductory Remarks - Matthew Adam Bruckner (Howard University School of Law) 9:55-11:10 a.m. - Panel 1: Scoping Credit Discrimination in the Age of AI This panel will examine how the rise of AI in consumer credit markets expands the meaning of discrimination and fairness in lending. Moderator: David Carlson (Cardozo School of Law) Panelists: Talia Gillis (Columbia Law School) - “Price Discrimination” Discrimination Ted Janger (Brooklyn Law Sch...
This panel will explore regulatory responses to the discrimination and fairness risks generated by t...
As artificial intelligence continues to evolve rapidly with emerging innovations, mass-scale digitiz...
The ability to distinguish between people in setting the price of credit is often constrained by leg...
This symposium explores the use of artificial intelligence (AI) in consumer credit markets and the l...
Credit scores can control housing decisions, the cost of taking out a loan, and even employment. The...
This panel will examine how the rise of AI in consumer credit markets expands the meaning of discrim...
According to some futurists, financial markets’ automation will substitute increasingly sophisticate...
Search costs for lenders when evaluating potential borrowers are driven by the quality of the underw...
As part of the Brookings Scholar Lecture Series, Brookings Mountain West presents a lecture titled ...
Artificial intelligence is based, in part, on learning algorithms that can continually monitor and e...
This electronic version was submitted by the student author. The certified thesis is available in th...
The utility of machine learning in evaluating the creditworthiness of loan applicants has been proof...
Alarming headlines appear at an increasing rate about ‘biased AI’ leading to nontransparent decision...
Tens of millions of Americans lack access to traditional forms of credit and must rely on payday and...
Algorithmic credit pricing threatens to discriminate against protected groups. Traditionally, fair l...
This panel will explore regulatory responses to the discrimination and fairness risks generated by t...
As artificial intelligence continues to evolve rapidly with emerging innovations, mass-scale digitiz...
The ability to distinguish between people in setting the price of credit is often constrained by leg...
This symposium explores the use of artificial intelligence (AI) in consumer credit markets and the l...
Credit scores can control housing decisions, the cost of taking out a loan, and even employment. The...
This panel will examine how the rise of AI in consumer credit markets expands the meaning of discrim...
According to some futurists, financial markets’ automation will substitute increasingly sophisticate...
Search costs for lenders when evaluating potential borrowers are driven by the quality of the underw...
As part of the Brookings Scholar Lecture Series, Brookings Mountain West presents a lecture titled ...
Artificial intelligence is based, in part, on learning algorithms that can continually monitor and e...
This electronic version was submitted by the student author. The certified thesis is available in th...
The utility of machine learning in evaluating the creditworthiness of loan applicants has been proof...
Alarming headlines appear at an increasing rate about ‘biased AI’ leading to nontransparent decision...
Tens of millions of Americans lack access to traditional forms of credit and must rely on payday and...
Algorithmic credit pricing threatens to discriminate against protected groups. Traditionally, fair l...
This panel will explore regulatory responses to the discrimination and fairness risks generated by t...
As artificial intelligence continues to evolve rapidly with emerging innovations, mass-scale digitiz...
The ability to distinguish between people in setting the price of credit is often constrained by leg...