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

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

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Year of publication:	2020
Authors:	Lopez de Prado, Marcos
Publisher:	[2020]: [S.l.] : SSRN
Subject:	USA \| United States \| Künstliche Intelligenz \| Artificial intelligence \| Finanzdienstleistung \| Financial services

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