Financial Machine Learning Regulation

33 Pages Posted: 14 May 2019

See all articles by Derek Snow

Derek Snow

The Alan Turing Institute; New York University (NYU) - Finance and Risk Engineering Department; University of Auckland

Date Written: April 14, 2019

Abstract

A look at regulatory challenges and recommendation in the age of AI. Investigating topics like monopoly formation, machine learning auditability, bias mitigation strategies and automated regulatory monitoring.

Keywords: Regulation, Machine Learning, FI, Financial Institution, Regtech

JEL Classification: K

Suggested Citation

Snow, Derek, Financial Machine Learning Regulation (April 14, 2019). Available at SSRN: https://ssrn.com/abstract=3371902 or http://dx.doi.org/10.2139/ssrn.3371902

Derek Snow (Contact Author)

The Alan Turing Institute ( email )

British Library, 96 Euston Rd
London, NW1 2DB
United Kingdom

HOME PAGE: http://https://www.turing.ac.uk/

New York University (NYU) - Finance and Risk Engineering Department ( email )

6 Metrotech Center
New York, NY 11201
United States

University of Auckland ( email )

Private Bag 92019
Auckland Mail Centre
Auckland, 1142
New Zealand

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