Artificial Intelligence for the Detection and Prevention of Human Trafficking
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Abstract
Artificial intelligence has revolutionized the fight against human trafficking by providing advanced tools for its prevention and investigation. Technologies such as natural language processing, big data analysis, geolocation, facial recognition, and blockchain have proven being effective in identifying criminal networks and detecting victims. Through the automated analysis of large volumes of data, artificial intelligence enables the anticipation of criminal patterns, the tracking of suspicious financial transactions, and the strengthening of the protection of victims’ identities. However, its implementation also presents challenges regarding privacy, algorithmic bias, and legal regulation, requiring a robust regulatory framework to ensure its ethical and transparent use. This study analyzes the impact of artificial intelligence on the prevention of human trafficking and proposes solutions to maximize its benefits without compromising human rights.
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