Using Artificial Intelligence in ESG Assurance

35 Pages Posted: 20 Jun 2024

See all articles by Nichole Li

Nichole Li

Rutgers, The State University of New Jersey - Rutgers Business School at Newark & New Brunswick

Meehyun kim

Rutgers, The State University of New Jersey - Rutgers Business School at Newark & New Brunswick

Jun Dai

Michigan Technological University

Miklos Vasarhelyi

Rutgers, The State University of New Jersey - Accounting & Information Systems

Date Written: May 24, 2024

Abstract

As Environmental, Social, and Governance (ESG) reporting has become a mainstream channel for companies to communicate their commitment to sustainability issues, the need for reliable and transparent ESG reports is increasing. However, research on ESG assurance is still in its early stages. ESG assurance poses more challenges than traditional financial auditing due to the diverse subjects and types of information in ESG reports. This paper proposes using Artificial Intelligence (AI) technologies and exogenous data as solutions. It discusses how AI can enhance the efficiency and effectiveness of ESG assurance by assessing vast and extensive data. This paper also explores AI's application throughout the general ESG assurance process and contributes to the discussion on providing high-quality ESG assurance services. Additionally, it provides practical implications for auditors, regulators, and stakeholders.

Keywords: ESG assurance; ESG; artificial intelligence; continuous assurance

Suggested Citation

Li, Fengke and kim, Meehyun and Dai, Jun and Vasarhelyi, Miklos, Using Artificial Intelligence in ESG Assurance (May 24, 2024). Available at SSRN: https://ssrn.com/abstract=4840353 or http://dx.doi.org/10.2139/ssrn.4840353

Fengke Li (Contact Author)

Rutgers, The State University of New Jersey - Rutgers Business School at Newark & New Brunswick

Janice H. Levin Bldg., Room 121
94 Rockafeller Road
Piscataway, NJ 08854-8054
United States

Meehyun Kim

Rutgers, The State University of New Jersey - Rutgers Business School at Newark & New Brunswick ( email )

Janice H. Levin Bldg., Room 121
94 Rockafeller Road
Piscataway, NJ 08854-8054
United States

Jun Dai

Michigan Technological University ( email )

Houghton, MI 49931
United States

Miklos Vasarhelyi

Rutgers, The State University of New Jersey - Accounting & Information Systems ( email )

96 New England Avenue, #18
Summit, NJ 07901-1825
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
420
Abstract Views
1,423
Rank
152,505
PlumX Metrics