Cardozo Law Review
Abstract
The topic of this symposium—Automating Bias—considers how artificial intelligence can produce, reinforce, and hide racial and other forms of discrimination in consumer finance. The animating intuition is that the complexity and opacity of algorithms and artificial intelligence in consumer lending create a greater need for disparate impact analysis to combat lending discrimination. This view was articulated forcefully by the current Director of the Consumer Financial Protection Bureau (CFPB), Rohit Chopra, when he was still a commissioner at the Federal Trade Commission (FTC).
Keywords
Discrimination, Social Group Issues, Employment Practice and the Law
Disciplines
Civil Rights and Discrimination | Labor and Employment Law | Law
Recommended Citation
Susan Block-Lieb & Edward J. Janger,
Impact IPSA Loquitur: A Reverse Hand Rule for Consumer Finance,
45
Cardozo L. Rev.
1133
(2024).
Available at:
https://larc.cardozo.yu.edu/clr/vol45/iss4/3