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TraffickCam: Explainable Image Matching For Sex Trafficking Investigations

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arxiv 1910.03455 v1 pith:VVTBGH3W submitted 2019-10-08 cs.CV cs.AIcs.LG

classification cs.CVcs.AIcs.LG
keywords approachesimagevictimshotelinvestigationsmatchingresultssupport
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Investigations of sex trafficking sometimes have access to photographs of victims in hotel rooms. These images directly link victims to places, which can help verify where victims have been trafficked or where traffickers might operate in the future. Current machine learning approaches give promising results in image search to find the matching hotel. This paper explores approaches to make this end-to-end system better support government and law enforcement requirements, including improved performance, visualization approaches that explain what parts of the image led to a match, and infrastructure to support exporting the results of a query.

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  1. Ask before you Build: Rethinking AI-for-Good in Human Trafficking Interventions

    cs.CY 2025-06 conditional novelty 4.0 of 10

    Radical Questioning, a five-step pre-design ethics framework, redirects an AI human trafficking project from ad surveillance to survivor-centered evidence support.

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