Singh, C. 2024. Artificial Intelligence and Deep Learning: Considerations for Financial Institutions for Compliance with the Regulatory Burden in the United Kingdom. Journal of Financial Crime. 31 (2), pp. 259-266. https://doi.org/10.1108/JFC-01-2023-0011
| Title | Artificial Intelligence and Deep Learning: Considerations for Financial Institutions for Compliance with the Regulatory Burden in the United Kingdom |
|---|---|
| Type | Journal article |
| Authors | Singh, C. |
| Abstract | Purpose: Artificial intelligence (AI), machine learning (ML) and deep learning (DL) are having a major impact on Banking (FinTech), Health (HealthTech), Law (RegTech), and other sectors such as Charitable Fundraising (CharityTech). The rate of technological innovation, the ability of AI systems to think like a human-beings (simulate human intelligence) and perform tasks independently and develop intelligence based on its own experiences and process layers of information to learn ever-complex representations of data (ML/DL) means that improvements in the rates at which this technology can undertake complex, technical, and time-consuming tasks, identify people, objects, voices, patterns (etc.) and screen for ‘problems’ earlier and provide solutions provides astounding benefit in economic, political and social terms. The purpose of this article is to explore advents in AI, ML and DL in the context of the regulatory compliance challenge faced by financial institutions in the United Kingdom (UK). |
| Keywords | Artificial Intelligence, Criminal Justice, Deep Learning, Machine Learning, Financial Crime, |
| Journal | Journal of Financial Crime |
| Journal citation | 31 (2), pp. 259-266 |
| ISSN | 1359-0790 |
| Year | 2024 |
| Publisher | Emerald Publishing Limited |
| Accepted author manuscript | License CC BY-NC 4.0 File Access Level Open (open metadata and files) |
| Digital Object Identifier (DOI) | https://doi.org/10.1108/JFC-01-2023-0011 |
| Publication dates | |
| Published online | 14 Apr 2023 |
| Published in print | 2024 |