The dark web continues to attract more illegal activities, and law enforcement and societal security face significant challenges. AI, though strong for monitoring and regulation, does raise critical ethical concerns concerning the use of these technologies for that purpose. This study considers the ethical aspects of AI systems for policing the dark web, including the trade-off between security and privacy, risks of bias and discrimination, and accountability in automated decision-making. Through a mixed-method approach involving both legal analysis, expert interviews, and case studies of existing AI-driven dark web monitoring systems, we identify central ethical challenges and potential mitigation strategies. In doing so, our results will reflect how AI may strengthen efficiency and effectiveness in terms of dark web policing, which equally result in the violation of user privacy, the perpetuation of systemic biases, and a lack of transparency in its operations. Ultimately, we conclude that proper use of AI in monitoring dark webs requires a robust governance framework, one that can ensure accountability, legitimacy, and respect for civil liberties. Such a framework must build on robust, clear guidelines for collecting and utilizing information, regular audits of bias, effectiveness, and mechanisms for human oversight and intervention. Given such measures, chances for using AI in the fight against crimes committed on the dark web are securely positioned within the right and constitutional means to protect the rights of individuals in this age of digitization.