Executive Summary
- Marinus Analytics uses AI to analyze online data and facial recognition to identify human trafficking victims.
- The platform has helped identify 734 victims in the past two years, primarily young women and people of color.
- CEO Cara Jones testified before a House Subcommittee regarding the effectiveness of AI in combatting trafficking.
- Approximately 250 law enforcement agencies worldwide currently utilize the software for investigations.
Marinus Analytics, a technology startup based in Pittsburgh, has developed artificial intelligence software that is currently assisting law enforcement agencies globally in the identification and rescue of human trafficking victims. According to data released by the company, the platform has facilitated the identification of 734 victims over the past two years, a demographic composed almost entirely of women aged 13 to 25, with 84% being people of color.
The proprietary software aids investigators by parsing vast amounts of public data from the internet to identify patterns and specific linguistic “red flags” that often indicate exploitation. Cara Jones, co-founder of Marinus Analytics, explained that the system analyzes online advertisements for indicators such as phrases like “new in the area,” which may suggest movement by traffickers, or claims of “24/7” availability, implying a lack of agency. These markers, when cross-referenced with facial recognition technology and national missing persons databases, allow authorities to connect online profiles with individuals reported missing.
On December 10, Ms. Jones testified before the House Subcommittee on Cybersecurity, Information Technology, and Government Innovation regarding the application of AI in combatting trafficking networks. During the hearing, lawmakers, including Chairwoman Nancy Mace (R-S.C.), acknowledged the necessity of adopting modern technological tools to address the increasing complexity of trafficking crimes. Ms. Mace noted that digital forensics and data analytics are enabling the recovery of victims in significantly shorter timeframes compared to traditional investigation methods.
The technology is currently utilized by approximately 250 law enforcement groups worldwide. Colin Ward, the company’s head of global engagement and a former detective in the United Kingdom, highlighted the efficiency of the tool compared to manual search methods. Mr. Ward cited specific instances where the software proved critical, such as identifying a kidnapped woman via a visible tattoo despite her face being obscured in online imagery.
Technological Integration in Law Enforcement
The integration of artificial intelligence into public safety operations marks a significant shift in how complex federal crimes are investigated and prosecuted. While historical statutes like the Mann Act of 1910 focused on the transportation of victims across state lines, modern trafficking prosecutions require proving force, fraud, or coercion, often necessitating robust digital evidence. The capacity of AI to process unstructured data allows for proactive policing strategies, enabling agencies to identify networks that were previously hidden. However, industry experts maintain that human oversight remains essential to verify algorithmic conclusions and ensure that technological tools are used strictly to safeguard victims and build accurate legal cases.
