AI-DRIVEN REGULATORY COMPLIANCE: AUTOMATING LEGAL ENFORCEMENT IN THE TECHNOLOGY SECTOR
DOI:
https://doi.org/10.34218/IJCET_16_01_245Keywords:
Artificial Intelligence, Regulatory Compliance, Automated Enforcement, Machine Learning, Risk ManagementAbstract
This article explores the transformative role of artificial intelligence in regulatory compliance across the technology sector, with a particular focus on automating legal enforcement mechanisms. The article examines how AI technologies are revolutionizing traditional compliance approaches through sophisticated machine learning models, real-time monitoring systems, and automated enforcement tools. It investigates core technical components, implementation architectures, and key applications across content moderation, financial compliance, and data protection domains. The article delves into the challenges organizations face in implementing AI-driven compliance systems, including technical hurdles, ethical considerations, and legal framework complexities. Through analysis of current industry practices and emerging trends, this article provides comprehensive insights into how organizations can effectively leverage AI for regulatory compliance while maintaining ethical and legal integrity. The article demonstrates the evolution from reactive to proactive compliance management through AI implementation, offering valuable perspectives for organizations seeking to enhance their compliance capabilities in an increasingly complex regulatory landscape.
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Copyright (c) 2025 Priyadharshini Krishnamurthy (Author)

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