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