The Role of Machine Readability in an AI World

SEC Keynote Address: Financial Information Management (FIMA) Conference 2018

6 Pages Posted: 18 Aug 2018

See all articles by Scott W. Bauguess

Scott W. Bauguess

University of Texas at Austin - Department of Finance

Date Written: May 3, 2018

Abstract

In most discussions of artificial intelligence today, the great enabler is machine learning. Algorithms that perform intelligent tasks – those without explicit human direction – are becoming ubiquitous. But machines must be able read before they can learn. And information most relevant to AI advancements is often not appropriately structured for quick and easy ingestion. In financial markets, one of the great inhibitors is data embedded in documents designed for human readability. Learn what regulators are doing to promote machine reading of registrant disclosures through data reporting standards and requirements.

Keywords: Machine Learning, Artificial Intelligence, Structured Data, XBRL, FIXML, FpML, SEC, Regulation, NTTAA

JEL Classification: D04, D80, D83, G18, G28, G38, O38

Suggested Citation

Bauguess, Scott W., The Role of Machine Readability in an AI World (May 3, 2018). SEC Keynote Address: Financial Information Management (FIMA) Conference 2018, Available at SSRN: https://ssrn.com/abstract=3226506 or http://dx.doi.org/10.2139/ssrn.3226506

Scott W. Bauguess (Contact Author)

University of Texas at Austin - Department of Finance ( email )

Red McCombs School of Business
Austin, TX 78712
United States

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