Intregration of Artificial Intelligence for Accounting Information Systems Adoption in Nigerian Financial Institution

Authors

  • Ahmadi Abubakar Majidadi Federal Polytechnic Kaltungo
  • Isah Muhammad Alhassan Khadijah University Majia
  • Aminu Adamu Ahmed Federal Polytechnic Kaltungo
  • Mohammed Nura Musa Federal Polytechnic Kaltungo

Keywords:

Artificial Intelligence, Accounting Information System, Finance, Financial Institutions

Abstract

Purpose — This paper aims to explore the adoption of AI in AIS specifically for financial institutions in Nigeria. It discusses the current challenges faced by the traditional AIS in Nigerian financial institutions and highlights the need for innovation and technological advancements.

Method — This is a comprehensive review of AI application to accounting information system..

Result — The paper provides an understanding of AI in the accounting context, its various subfields, and its potential applications in improving the AIS. Furthermore, it outlines the potential benefits of integrating AI into AIS, including improved accuracy, efficiency, fraud detection, and compliance. The paper also addresses the implementation challenges and considerations, such as job displacement, data security, and cultural barriers. It presents successful AI adoption case studies from financial institutions globally and offers recommendations for Nigerian financial institutions to effectively adopt AI in its AIS.

Novelty The paper emphases the importance of embracing AI as a means to enhance accounting processes and the potential impact it can have on the Nigerian financial sector.

Author Biographies

Ahmadi Abubakar Majidadi, Federal Polytechnic Kaltungo

Department of Accounting

Isah Muhammad Alhassan, Khadijah University Majia

Department of Computer Science

Aminu Adamu Ahmed, Federal Polytechnic Kaltungo

Depatment of Information Commuunication Technology

Mohammed Nura Musa, Federal Polytechnic Kaltungo

Department of Information Communication Technogoly

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Published

2024-10-29