Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)

Artificial Intelligence, Cybercrime, and Legal Governance: Bridging the Gap Between Technology and Law

Authors
Mudit Sharma1, Indra Pal Gupta2, Gaurav Nagarkoti3, *, Vikas Chauhan Ravi3, Somendra Shukla4, Ranjan Kumar Singh5, Abhishek Varshney2
1Lovely Professional University, Phagwara, Punjab, India
2Shri Varshney College, Aligarh, UP, India
3JIMS Engineering Management Technical Campus, Greater Noida, UP, India
4Greater Noida Institute of Technology, Greater Noida, UP, India
5Gautam Buddha University, Greater Noida, UP, India
*Corresponding author. Email: gaurav.nagarkoti@gmail.com
Corresponding Author
Gaurav Nagarkoti
Available Online 28 May 2026.
DOI
10.2991/978-94-6239-674-6_11How to use a DOI?
Keywords
Artificial Intelligence; Cybercrime Detection; Legal Governance; Machine Learning; Deep Neural Networks; Cybersecurity Law; AI Ethics; SHAP Explainability; Open Source Dataset; Kaggle; Digital Forensics
Abstract

The presented research paper investigates applying AI-based cybercrime detection and legal governance frameworks and evaluating them based on open-source datasets provided by Kaggle, that is, including intrusion detection, phishing, and financial fraud data. The study uses machine learning algorithms that include the Random Forest, Support Vector Machines (SVM) and Deep Neural Networks (DNN) in order to create a hybrid AI model that is able to detect malicious patterns with high precision and high recall. Nevertheless, the findings also indicate that there are ethical and legislative loopholes, especially in data privacy, bias in algorithms, and their application in jurisdiction. The paper will conclude by suggesting a systematic framework that will combine AI governance principles (fairness, transparency, accountability) with the current cybersecurity legislation to fill the technology-legal regulation gap.

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 Sustainable Computing and Artificial Intelligence (ICSCAI 2025)
Series
Advances in Engineering Research
Publication Date
28 May 2026
ISBN
978-94-6239-674-6
ISSN
2352-5401
DOI
10.2991/978-94-6239-674-6_11How 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  - Mudit Sharma
AU  - Indra Pal Gupta
AU  - Gaurav Nagarkoti
AU  - Vikas Chauhan Ravi
AU  - Somendra Shukla
AU  - Ranjan Kumar Singh
AU  - Abhishek Varshney
PY  - 2026
DA  - 2026/05/28
TI  - Artificial Intelligence, Cybercrime, and Legal Governance: Bridging the Gap Between Technology and Law
BT  - Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)
PB  - Atlantis Press
SP  - 115
EP  - 128
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-674-6_11
DO  - 10.2991/978-94-6239-674-6_11
ID  - Sharma2026
ER  -