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House subcommittee hears how AI and data tools can speed recovery of trafficking victims
Summary
Witnesses told a House Oversight subcommittee that AI, image‑matching and large commercial ad indexes can cut investigations from months to days, but urged survivor-centered design, privacy protections and sustained funding to make tools effective and ethical.
Chairwoman Mace convened the Subcommittee on Cybersecurity, Information Technology, and Government Innovation to examine how technology can help detect and prosecute human trafficking. Witnesses from Polaris, the National Center for Missing and Exploited Children (NCMEC), Marinus Analytics and Howard University described tools that have accelerated rescues and strengthened cases, while also flagging limits and harms if technology is deployed without guardrails.
Megan Lundstrom, chief executive officer of Polaris and a survivor of trafficking, told the panel that technology changes traffickers’ methods but does not change their motives. Lundstrom said anti‑trafficking systems must follow three principles: center survivor autonomy and informed consent, protect privacy through strong governance, and pair algorithms with human…
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