Predictive Analytics and the Tax Code

48 Pages Posted: 10 May 2023

See all articles by Jay A. Soled

Jay A. Soled

Rutgers University

Kathleen DeLaney Thomas

University of North Carolina School of Law

Date Written: May 8, 2023

Abstract

Congress last reformed the nation’s current tax penalty regime approximately three decades ago, long before the rise of big data and the advent of predictive analytics. With predictive analytics now gaining preeminence and its accuracy constantly improving, it is time for Congress to weave this technological innovation into the fabric of the Internal Revenue Code and, more specifically, the civil tax penalty regime. Doing so would enhance taxpayer compliance, augment transparency, and simultaneously ease many administrative burdens commonplace under the tax law.

Keywords: tax, tax policy, taxation, predictive analytics, artificial intelligence, big data, tax penalties, tax compliance

JEL Classification: E62, H20, H21,H22, H24, H25, H26, H29, H30, K34, A12, K42, K34, O33, O35, O38, J38, J30

Suggested Citation

Soled, Jay and Thomas, Kathleen DeLaney, Predictive Analytics and the Tax Code (May 8, 2023). Florida State University Law Review, Forthcoming, Available at SSRN: https://ssrn.com/abstract=4441446

Jay Soled

Rutgers University ( email )

1 Washington Park
Newark, NJ 07901-1825
United States
(973) 353-1727 (Phone)

Kathleen DeLaney Thomas (Contact Author)

University of North Carolina School of Law ( email )

Van Hecke-Wettach Hall, 160 Ridge Road
CB #3380
Chapel Hill, NC 27599-3380
United States
919-843-7630 (Phone)

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