<![CDATA[The rapid advancement of artificial intelligence (AI), digital transformation, and transnational technological threats has fundamentally reshaped the landscape of contemporary policing. Modern law enforcement agencies are expected not only to respond effectively to increasingly sophisticated crimes such as cybercrime, digital fraud, misinformation, and AI-assisted criminal activities but also to uphold democratic values, human rights, and public trust. While AI has significantly enhanced predictive policing, criminal investigations, digital forensics, surveillance systems, and operational decision-making, its implementation simultaneously raises concerns regarding algorithmic bias, transparency, accountability, and ethical governance. These challenges indicate that technological innovation alone is insufficient to achieve sustainable police professionalism. This paper proposes an Artificial Intelligence-Enabled Humanistic Policing Framework that integrates AI-driven policing with human-centered policing principles to strengthen professionalism and institutional legitimacy. Employing a qualitative approach through an extensive literature review of recent international scholarly publications, policy documents, and policing frameworks, this study analyzes the intersection between digital innovation, police ethics, and community-oriented policing. The findings suggest that effective policing in the digital era requires balanced integration between technological capability and human judgment, supported by transparency, accountability, procedural justice, and community participation. The proposed conceptual framework demonstrates how AI can enhance evidence-based policing while maintaining ethical decision-making and reinforcing public trust. This study contributes to the growing discourse on professional policing by providing a conceptual model that supports adaptive, ethical, and technology-enabled policing capable of addressing global digital threats without compromising humanistic values.]]>
