KYC (Know Your Customer) is a process undertaken by financial institutions to identify and verify the identity of their customers. The aim is to prevent financial crimes such as money laundering, fraud and terrorist financing. This Know Your Customer (KYC) model can be used as a strategic framework for financial institutions to prevent misuse of financial services including child sexual exploitation transactions that are rampant. The model emphasizes rigorous customer identification, verification and continuous monitoring of transactions to detect suspicious activity. By carefully understanding customer financial behavior, financial institutions can identify anomalies that may indicate illicit activities, including those related to child exploitation. Globally, financial service providers including major banks such as HSBC, JPMorgan Chase, and Citigroup, as well as digital payment platforms such as PayPal and Stripe exemplify and can play a key role in preventing child sexual exploitation. This research uses normative legal research methods. The nature of this research is descriptive-prescriptive. The result of this research states that in the future, financial institutions can implement strict KYC (Know Your Customer) policies, monitor suspicious transactions, and cooperate with law enforcement agencies from various countries. This comprehensive approach not only helps combat child exploitation, but also improves global regulatory compliance, thus maintaining the integrity of the financial system. The implementation of the KYC model involves collaboration with law enforcement and utilizes advanced technology for efficient data analysis and customer monitoring. Ultimately, this model serves to protect vulnerable populations while upholding ethical standards within the financial sector.

The implementation of AI in the criminal justice system can enhance efficiency, transparency, and fairness in legal decision-making by efficiently managing information and providing legal considerations based on objective data. In Indonesia, although the Supreme Court has initiated technology-based innovations such as e-Court and Smart Majelis and is considering the concept of AI Judges, technical, legal, and ethical challenges must still be carefully addressed. The application of AI must take into account the specific aspects of Indonesia's legal system, ensure algorithmic transparency, and protect human rights. This research employs a doctrinal (normative) legal approach, utilizing legal materials including primary, secondary, and tertiary sources. The approaches used are the conceptual approach, comparative approach, and futuristic approach. The nature of the research is descriptive-prescriptive, and the data analysis method employed is content analysis. The results of the research indicate that the application of AI in Indonesia’s judiciary has significant potential to improve efficiency and justice, but must be done cautiously and wisely. AI should be used as a supportive tool for human judges, rather than fully replacing them. The concept of AI Judges, where AI plays a role in legal decision-making, must be accompanied by regulations that ensure transparency, accountability, and the protection of human rights. With a careful and ethical approach, AI can be a significant innovation in the judicial system, helping to achieve faster, simpler, and more efficient justice in line with the fundamental legal principles of Indonesia and the values of Pancasila.