Comparative legal analysis reveals critical liability gaps for AI-assisted grooming across global jurisdictions, highlighting the need for updated risk-based regulation.
Key Points
To investigate whether existing criminal legislation adequately addresses platform-facilitated grooming via AI chatbots and to evaluate liability allocation across major jurisdictions.
Conducted a comparative legal analysis of statutory frameworks across the European Union, the United Kingdom, the United States, and China.
Evaluated the traditional legal doctrines of criminal acts, criminal intent, foreseeability, and intermediary liability rules concerning platform operators, AI developers, and deployers.
Identified significant regulatory and enforcement gaps caused by the fragmentation of legal responsibility among offenders, platform hosts, and AI software developers.
Demonstrated that traditional criminal intent and foreseeability standards fail to effectively capture autonomous or automated algorithmic grooming behaviors.
Proposed a comprehensive reform model centered on risk-based liability frameworks, enhanced platform accountability, algorithmic transparency, and child-centered safeguards.