Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)

International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)

📍Pune, Maharashtra, India🗓️ 3-4 April 2026

A Review on Financial Surveillance in the Age of Artificial Intelligence: Legal and Ethical Implications

Authors
Sailee Naresh Gund1, *, Sonali Vaibhav Dhamal2, Niranjan Laxman Wamanacharya3
1Research Scholar, Department of Nanotechnology, Bharati Vidyapeeth Deemed University College of Engineering, Pune, India
2Assistant Professor, Basic Science and Humanities, Bharati Vidyapeeth Deemed University College of Engineering, Pune, India
3Research Scholar, Department of Law, Alard School of Law, Pune, India
*Corresponding author. Email: sailee.wamanacharya@gmail.com
Corresponding Author
Sailee Naresh Gund
Available Online 14 July 2026.
DOI
10.2991/978-94-6239-723-1_12How to use a DOI?
Keywords
financial crimes; decision making; AI; Forensic accounting; predictive analysis; shell companies
Abstract

In today’s world or we can say in this era world is rapidly growing with new inventions and technologies like artificial intelligence or machine learning. With these increasing technologies there is also rise is digital financial crimes which creates a new risk for traditional forensic accounting in financial surveillance. With these emerging technologies computation work which requires huge time and hard work can be solved in less time and in simplified way. There are various ways by which we can have large amount of data which can be sorted and aligned within fewer minutes by use of perfect AI tools. On one side as use of technical systems giving accessibility and utility of large amount of data on other side there is growing risk in financial crimes and fraudulent activities. Digital crimes like complicated ownerships, shell companies, piracy are increasing day by day. In this technological world we are fully depend upon computations and digital transactions. For solving the problems in fraudulent activities in finance and law AI can be effectively utilized to identify abnormal transaction and documentation. Additionally, AI can also be useful for significant and analytical decision making. This paper studies about what are the benefits and as well as limitations of using AI in law and financial surveillance.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
Series
Advances in Intelligent Systems Research
Publication Date
14 July 2026
ISBN
978-94-6239-723-1
ISSN
1951-6851
DOI
10.2991/978-94-6239-723-1_12How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sailee Naresh Gund
AU  - Sonali Vaibhav Dhamal
AU  - Niranjan Laxman Wamanacharya
PY  - 2026
DA  - 2026/07/14
TI  - A Review on Financial Surveillance in the Age of Artificial Intelligence: Legal and Ethical Implications
BT  - Proceedings of the International Conference on Responsible, Risk-aware, and Regulated AI (RRRAI 2026)
PB  - Atlantis Press
SP  - 127
EP  - 135
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-723-1_12
DO  - 10.2991/978-94-6239-723-1_12
ID  - Gund2026
ER  -