Ansari, Md Kashif
ORCID: https://orcid.org/0009-0002-3208-5646, Kumar, Satish
ORCID: https://orcid.org/0000-0003-4328-6515, Yadav, Akansha
ORCID: https://orcid.org/0009-0003-1963-8813 and Kaur, Manpreet
(2026)
The nexus of artificial intelligence and finance: Innovations, ethical considerations, and systemic impacts post COVID-19.
In: ETLTC 2025 International Conference Series: Technology and Smart Society, 20–26 January 2025, Aizuwakamatsu, Japan.
Available at: https://pubs.aip.org/aip/acp/article-abstract/3432...
Abstract
This paper seeks to study the relationship between the rapid evolution of artificial intelligence (AI) and its multifaceted impact on the financial sector during the period 2020 - 2025. In recent years, AI has emerged as a transformative force, revolutionizing how financial institutions operate by enhancing decision-making processes, refining risk assessment, augmenting fraud detection capabilities, and redefining algorithmic trading practices. Though the impact and adoption of AI in finance in the last 5 years has been growing at a fast pace, the ethical considerations of use of AI can’t be ignored. This literature review synthesizes findings from multiple contemporary studies to provide a comprehensive analysis of both the opportunities and challenges introduced by AI in finance. The study not only highlights the remarkable performance improvements associated with AI-driven tools but also critically examines the ethical, regulatory, and implementation challenges that accompany their adoption.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Artificial intelligence | AI in Financial sector |
| Subjects: | Social Sciences and humanities > Economics, Econometrics and Finance > Banking and Finance Physical, Life and Health Sciences > Computer Science Social Sciences and humanities > Social Sciences > Health (Social sciences) |
| Depositing User: | Mr. Syed Anas Ali |
| Date Deposited: | 03 Jul 2026 05:59 |
| Last Modified: | 14 Jul 2026 06:40 |
| Official URL: | https://pubs.aip.org/aip/acp/article-abstract/3432... |
| URI: | https://pure.jgu.edu.in/id/eprint/11914 |
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