Monitoring Unethical Activities on the Dark Web Through AI

The dark web is a notorious segment of the internet that facilitates various illicit activities, including drug trafficking, human trafficking, and cybercrime. Traditional monitoring techniques often fall short in identifying and combating these activities. This paper proposes an AI-based framework leveraging advanced machine learning algorithms, natural language processing (NLP), and data analytics to detect and monitor unethical activities on the dark web. Additionally, the paper addresses the ethical and legal implications of such monitoring practices and suggests ways to mitigate associated challenges.