Artificial Intelligence (AI) has transformed business crime into algorithm-driven misconduct that challenges conventional criminal law in Indonesia. This study examines regulatory gaps in imposing corporate criminal liability for AI-assisted business crime using normative legal research with statutory, conceptual, comparative and case approaches. The findings reveal three major deficiencies: the absence of AI-specific criminal norms, limitations of the traditional mens rea doctrine and weak corporate AI governance obligations. This study argues that AI adoption in criminal law requires a shift from individual fault to algorithmic governance failure, particularly in determining corporate criminal punishment and strengthening accountability in AI-driven business crimes.
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