AI-Finance Odyssey: Challenges, Opportunities, and Cases from Global Practitioners
Dublin Core
Title
AI-Finance Odyssey: Challenges, Opportunities, and Cases from Global Practitioners
Creator
Muhammad Izharuddin
Proceedings Item Type Metadata
meta_title
AI-Finance Odyssey: Challenges, Opportunities, and Cases from Global Practitioners
Abstract/Description
The rapid integration of Artificial Intelligence (AI) in the financial and banking sectors presents both transformative opportunities and complex challenges. This study examines practitioner perspectives on AI adoption, analysing 60 YouTube videos featuring industry experts through a grounded-theory approach. Findings reveal key challenges, including regulatory compliance complexities, data quality limitations, ethical risks, and talent shortages, which hinder AI implementation. Conversely, AI offers significant benefits, such as hyper-personalised banking, enhanced fraud detection, automated credit underwriting, and operational cost savings. The study highlights the critical role of human oversight in ensuring transparency and mitigating biases in AI-driven decisions. By bridging practitioner insights with technological advancements, this research provides a framework for responsible AI adoption, emphasising the need for balanced human-AI collaboration to optimise efficiency, inclusivity, and ethical governance in the evolving financial landscape.
publication_date
2025/06/15
pdf_url
https://insyma.org/proceedings/files/articles/Muhammad Izharuddin.pdf
abstract_html_url
https://insyma.org/proceedings/items/show/320
keywords
Artificial Intelligence, Banking Innovation, Regulatory Compliance, Human-AI Collaboration
firstpage
57
lastpage
62
issn
3047-857X
conference
Proceedings of the International Symposium on Management (INSYMA)
Volume
22
publisher_name
Fakultas Bisnis dan Ekonomika, Universitas Surabaya
no article
9
Files
Citation
Muhammad Izharuddin, “AI-Finance Odyssey: Challenges, Opportunities, and Cases from Global Practitioners,” Proceedings of the International Symposium on Management (INSYMA), accessed July 1, 2025, https://insyma.org/proceedings/items/show/320.