Testimony before the U.S. House of Representatives – Committee on Financial Services – Task Force on Artificial Intelligence

13 Pages Posted: 30 Dec 2019

See all articles by Marcos Lopez de Prado

Marcos Lopez de Prado

Cornell University - Operations Research & Industrial Engineering; True Positive Technologies

Date Written: December 8, 2019

Abstract

I have divided this testimony into four sections, which discuss: (1) several types of automation currently being deployed in capital markets and the financial sector, and how they affect decision-making; (2) how machine learning (ML) and automation can help and hurt workers by disruption of the current and future financial services workforce; (3) what “RegTech” is and how ML can be deployed to help regulators better supervise financial institutions; and (4) algorithmic bias.

Keywords: machine learning, artificial intelligence, automation, jobs

JEL Classification: G0, G1, G2, G15, G24, E44

Suggested Citation

López de Prado, Marcos, Testimony before the U.S. House of Representatives – Committee on Financial Services – Task Force on Artificial Intelligence (December 8, 2019). Available at SSRN: https://ssrn.com/abstract=3500484 or http://dx.doi.org/10.2139/ssrn.3500484

Marcos López de Prado (Contact Author)

Cornell University - Operations Research & Industrial Engineering ( email )

237 Rhodes Hall
Ithaca, NY 14853
United States

HOME PAGE: http://www.orie.cornell.edu

True Positive Technologies ( email )

NY
United States

HOME PAGE: http://www.truepositive.com

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