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How can banks be used to stop human trafficking?
The EconomistTamir, Nunzio Tramantosi, Peter Warwick, Aidan Larkin, David McLaughlin, Samart, Archna Katecha, Som Pong Sigeo, Mr. J
- Technology will shift financial tracking from random chance to precise money tracing, though improved detection capabilities are expected to drive corresponding advancements in criminal evasion methods.
- Traffickers are predicted to operate with high velocity, moving victims away from families within two weeks, reselling them repeatedly to generate millions, and utilizing filmed blackmail material to maintain control.
- Extreme violence, including physical beatings and body disposal in locations such as Lake Ontario, will be employed by traffickers against victims attempting escape.
- Law enforcement faces the challenge of locating scattered victims who remain in one location for no more than two to three days, requiring officers to review extensive online advertisements and spend thousands of man-hours communicating with potential victims.
- Fear among victims will likely prevent testimony against traffickers even when they are found, complicating prosecution efforts.
- Financial institutions will adopt pattern recognition to identify trafficking behaviors, specifically monitoring for deposits from multiple states, hotel bookings, and online advertising payments.
- Suspicious account data will be shared with law enforcement, contributing to a projected 350% increase in reports from Canadian banks to police within a 12-month period.
- The Joint Money-Laundering Intelligence Task Force, established in 2015, is expected to foster trust between banks and law enforcement, leading to the dismantling of an international trafficking ring in 2017.
- Criminals will convert cash into high-value assets like watches, mansions, and vehicles to move funds across jurisdictions, prompting banks to flag vague suspicious transactions and increasing caution.
- Current banking systems currently flag 90% of alerts as innocent; fintech companies and machine learning systems will replace these blunt tools by training on daily behavioral changes to autonomously identify criminal activity.
- Specific systems, such as Quantiverse's, will analyze money movement amounts, speeds, and destinations to link network characteristics to individuals and entities involved in crime.
- Criminals will increasingly utilize cryptocurrencies and other new tools to keep money online and off-grid, forcing banks and police to adapt to evolving technology or face consequences where traffickers operate without accountability.