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Artificial Intelligence in Accounting and Finance: Challenges and Opportunities | IEEE Journals & Magazine | IEEE Xplore

Artificial Intelligence in Accounting and Finance: Challenges and Opportunities


Artificial intelligence for accounting and finance: task taxonomy.

Abstract:

The rapid expansion of artificial intelligence (AI) technologies presents novel technical solutions to traditional accounting and finance problems. Despite this, scholars...Show More

Abstract:

The rapid expansion of artificial intelligence (AI) technologies presents novel technical solutions to traditional accounting and finance problems. Despite this, scholars in accounting and finance frequently encounter difficulties navigating the extensive and intricate domain knowledge of AI and its continuously evolving literature. To address this gap, this paper conducts a qualitative survey of the implementation of AI methods in accounting and finance. The paper is structured into four sections. Firstly, we examine the conventional accounting and finance issues and their requirement for AI techniques. Secondly, to inform accounting and finance researchers about the potential of AI, we present broad categories of AI applications. Thirdly, we explore recent research on AI solutions to conventional problems. Finally, we highlight emerging trends and possible research directions.
Artificial intelligence for accounting and finance: task taxonomy.
Published in: IEEE Access ( Volume: 11)
Page(s): 129100 - 129123
Date of Publication: 16 November 2023
Electronic ISSN: 2169-3536
Author image of Ziwei Yi
School of Economy and Business, Jiangxi University of Science and Technology, Ganzhou, China
Ziwei Yi received the bachelor’s degree from the School of Economy and Business, Jiangxi University of Science and Technology, China, in 2020, and the master’s degree from the Jiangxi University of Science and Technology, in 2023, all in management. Her research interests include corporate finance, computational and quantitative finance, and financial markets.
Ziwei Yi received the bachelor’s degree from the School of Economy and Business, Jiangxi University of Science and Technology, China, in 2020, and the master’s degree from the Jiangxi University of Science and Technology, in 2023, all in management. Her research interests include corporate finance, computational and quantitative finance, and financial markets.View more
Author image of Xinwei Cao
School of Business, Jiangnan University, Wuxi, China
Xinwei Cao received the bachelor’s degree from Shandong University, China, in 2009, the master’s degree from Tongji University, China, in 2012, and the Ph.D. degree from Fudan University, China, in 2017, all in management. She is currently a Professor with the School of Business, Jiangnan University, China. Her research interests include operational management, computational and quantitative finance, and financial markets...Show More
Xinwei Cao received the bachelor’s degree from Shandong University, China, in 2009, the master’s degree from Tongji University, China, in 2012, and the Ph.D. degree from Fudan University, China, in 2017, all in management. She is currently a Professor with the School of Business, Jiangnan University, China. Her research interests include operational management, computational and quantitative finance, and financial markets...View more
Author image of Zuyan Chen
Faculty of Science and Engineering, Swansea University, Swansea, U.K.
Zuyan Chen received the B.E. degree in communication engineering from the Jiangxi University of Science and Technology, China. He is currently pursuing the master’s degree (research) in electronic and electrical engineering with Swansea University, U.K. His research interests include robot force control and machine learning.
Zuyan Chen received the B.E. degree in communication engineering from the Jiangxi University of Science and Technology, China. He is currently pursuing the master’s degree (research) in electronic and electrical engineering with Swansea University, U.K. His research interests include robot force control and machine learning.View more
Author image of Shuai Li
Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
Shuai Li (Senior Member, IEEE) received the B.E. degree in precision mechanical engineering from the Hefei University of Technology, Hefei, China, in 2005, the M.E. degree in automatic control engineering from the University of Science and Technology of China, Hefei, in 2008, and the Ph.D. degree in electrical and computer engineering from the Stevens Institute of Technology, Hoboken, NJ, USA, in 2014. He is currently a F...Show More
Shuai Li (Senior Member, IEEE) received the B.E. degree in precision mechanical engineering from the Hefei University of Technology, Hefei, China, in 2005, the M.E. degree in automatic control engineering from the University of Science and Technology of China, Hefei, in 2008, and the Ph.D. degree in electrical and computer engineering from the Stevens Institute of Technology, Hoboken, NJ, USA, in 2014. He is currently a F...View more

Author image of Ziwei Yi
School of Economy and Business, Jiangxi University of Science and Technology, Ganzhou, China
Ziwei Yi received the bachelor’s degree from the School of Economy and Business, Jiangxi University of Science and Technology, China, in 2020, and the master’s degree from the Jiangxi University of Science and Technology, in 2023, all in management. Her research interests include corporate finance, computational and quantitative finance, and financial markets.
Ziwei Yi received the bachelor’s degree from the School of Economy and Business, Jiangxi University of Science and Technology, China, in 2020, and the master’s degree from the Jiangxi University of Science and Technology, in 2023, all in management. Her research interests include corporate finance, computational and quantitative finance, and financial markets.View more
Author image of Xinwei Cao
School of Business, Jiangnan University, Wuxi, China
Xinwei Cao received the bachelor’s degree from Shandong University, China, in 2009, the master’s degree from Tongji University, China, in 2012, and the Ph.D. degree from Fudan University, China, in 2017, all in management. She is currently a Professor with the School of Business, Jiangnan University, China. Her research interests include operational management, computational and quantitative finance, and financial markets.
Xinwei Cao received the bachelor’s degree from Shandong University, China, in 2009, the master’s degree from Tongji University, China, in 2012, and the Ph.D. degree from Fudan University, China, in 2017, all in management. She is currently a Professor with the School of Business, Jiangnan University, China. Her research interests include operational management, computational and quantitative finance, and financial markets.View more
Author image of Zuyan Chen
Faculty of Science and Engineering, Swansea University, Swansea, U.K.
Zuyan Chen received the B.E. degree in communication engineering from the Jiangxi University of Science and Technology, China. He is currently pursuing the master’s degree (research) in electronic and electrical engineering with Swansea University, U.K. His research interests include robot force control and machine learning.
Zuyan Chen received the B.E. degree in communication engineering from the Jiangxi University of Science and Technology, China. He is currently pursuing the master’s degree (research) in electronic and electrical engineering with Swansea University, U.K. His research interests include robot force control and machine learning.View more
Author image of Shuai Li
Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
Shuai Li (Senior Member, IEEE) received the B.E. degree in precision mechanical engineering from the Hefei University of Technology, Hefei, China, in 2005, the M.E. degree in automatic control engineering from the University of Science and Technology of China, Hefei, in 2008, and the Ph.D. degree in electrical and computer engineering from the Stevens Institute of Technology, Hoboken, NJ, USA, in 2014. He is currently a Full Professor with the Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland, and also with the VTT-Technical National Research Center of Finland, Oulu. His current research interests include dynamic neural networks, robotics, machine learning, and autonomous systems.
Shuai Li (Senior Member, IEEE) received the B.E. degree in precision mechanical engineering from the Hefei University of Technology, Hefei, China, in 2005, the M.E. degree in automatic control engineering from the University of Science and Technology of China, Hefei, in 2008, and the Ph.D. degree in electrical and computer engineering from the Stevens Institute of Technology, Hoboken, NJ, USA, in 2014. He is currently a Full Professor with the Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland, and also with the VTT-Technical National Research Center of Finland, Oulu. His current research interests include dynamic neural networks, robotics, machine learning, and autonomous systems.View more

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