BREAKING THE CHAINS: HOW DIGITAL TECHNOLOGY CAN COMBAT HUMAN TRAFFICKING IN PAKISTAN

Abstract

The intricate relationship between digital technology and human trafficking in Pakistan is examined in this study. Based on these experiences, it discusses how technology can interfere with trafficking networks while taking into consideration the sociotechnical difficulties that may occur. The study examines case studies, policy documents, and interviews with important competitors, such as law enforcement officers, non-governmental organizations, and technological specialists, using a qualitative technique. The investigation focuses on Pakistan, a region that is severely affected by human trafficking due to economic disparities, low levels of domestic computer literacy, and a lack of enforcement mechanisms. The results of this study demonstrated that traffickers use digital platforms including social media, employment portals, and cryptocurrency for recruiting, financial transactions, and anonymity. Through social media campaigns, blockchain transparency systems, AI-driven predictive analytics, and victim care mobile apps, these same technologies can also be utilized to combat human trafficking. Global best practices, particularly US artificial intelligence (AI) projects and European blockchain transparency initiatives, provide Pakistan with insightful information. Policy recommendations include enhancing risk communities' digital literacy, promoting public-private collaborations, and bolstering the viability of cyber security. According to the report, anti-trafficking tactics must incorporate state-of-the-art technologies, robust legislation, and cross-sectoral cooperation. Policy recommendations include enhancing risk communities' digital literacy, according to the report, anti-trafficking tactics must incorporate state-of-the-art technologies, robust legislation, and cross-sectoral cooperation. As part of a technology focus on ending human trafficking, future research should therefore concentrate on how to ensure that these interventions effective over the long run and ascertain whether they are replicable in different socioeconomic contexts.