Ethical and Governance Dimensions of Artificial Intelligence in Cryptocurrency Crime Prevention: Balancing Privacy, Surveillance, and Civil Liberties

Abstract

The deployment of artificial intelligence for cryptocurrency crime prevention has generated significant ethical tensions between security imperatives and individual rights. This article examines the ethical, legal, and social implications of AI-based surveillance systems in cryptocurrency ecosystems, Analyzing how these technologies implicate privacy rights, algorithmic bias, transparency obligations, and civil liberties protections. Drawing upon case studies including the Tornado Cash sanctions controversy, the application of blockchain forensics in criminal investigations, and the emerging use of AI for predictive risk assessment, the research identifies fundamental tensions between the pseudonymous ideals of cryptocurrency networks and the transparency requirements of effective law enforcement. The analysis reveals that AI-based monitoring systems risk creating surveillance infrastructures that extend far beyond legitimate crime prevention objectives, potentially chilling lawful financial activity and undermining the privacy protections that attract many users to cryptocurrency. Algorithmic bias represents a particular concern, as machine learning models trained on historical transaction data may perpetuate or amplify existing patterns of discriminatory enforcement, disproportionately affecting users from marginalized communities or regions with legitimate risk factors. The lack of transparency in many AI systems complicates accountability, as individuals whose transactions are flagged or accounts frozen may have no meaningful opportunity to understand or contest automated decisions. The article proposes a governance framework for responsible AI deployment in crypto crime prevention, incorporating privacy-by-design principles, algorithmic impact assessments, meaningful transparency and appeal mechanisms, and democratic oversight of surveillance systems. The analysis concludes that while AI offers powerful capabilities for crime prevention, realizing these benefits without undermining fundamental rights requires deliberate attention to ethical design, regulatory safeguards, and ongoing stakeholder engagement.