Advances in Consumer Research
Issue 2 : 1135-1143
Original Article
Applications of Artificial Intelligence and Governance Issues in Contemporary Financial Institutions Globally: A Review Article
 ,
 ,
 ,
 ,
 ,
 ,
 ,
1
INTI International University, Nilai, Seremban, Malaysia
2
Lecturer in Marketing, Danford Higher Education, Melbourne, Australia
3
Assistant Professor (Senior), Department of Social Work, Assam Don Bosco University, Guwahati, Assam, India
Abstract

Artificial Intelligence (AI) has become one of the revolutionary technology in international financial institutions that have been influential in changing the efficiency of operations, risk management, customer interaction, and regulatory practices. This review paper summarizes the available literature describing the use of AI in the modern financial organization and critically evaluates the governance challenges of AI implementation. According to the review, some of the major areas of applications are fraud detection, algorithmic trading, robo-advisory services, credit scoring, and Regulatory Technology (RegTech). It also discusses the governance issues which include data privacy risks, algorithmic bias, explain ability, cybersecurity threats, and regulatory issues. The results indicate that despite the fact that AI is improving the speed and accuracy of decision-making, it should be implemented using strong governance frameworks to guarantee transparency, accountability, and ethical standards. The article then ends by offering strategic suggestions on how AI can be introduced in the financial institutions of the world in a responsible manner

 

Keywords
Recommended Articles
Original Article
Adjustment Challenges in Adolescence: Implications for Guidance and Counselling in Secondary Schools
Original Article
Exploring the Impact of Immersive Technology on Travelers Experience: A theoretical perspective on Tourist at Indian Heritage Sites
Original Article
Impact of Organizational Culture on Employee Retention: An Integrated Bibliometric Analysis and Systematic Literature Review
Original Article
A Data-Driven Trade Marketing Model for Improving In-Store ROI: A Multi-Country Case Study at Empati Reklam”
Loading Image...
Volume 3, Issue 2
Citations
781 Views
363 Downloads
Share this article
© Copyright Advances in Consumer Research