Algorithmic Credit Scoring and the Regulation of Consumer Credit Markets
This presentation examinesgrowing use of alternative data and machine learning by credit providers to assess the creditworthiness of borrowers — a trend described as ‘algorithmic credit scoring’— and the implications of this trend for the functioning and regulation of consumer credit markets.
Main speaker: Nikita Aggarwal
Respondent : Ignacio Cofone
Location: Salon François-Chevrette A-3464 Faculté de droit - Université de Montréal