Journal Article1 August 2026 Michael Shively, Bob Rogers, Courtney Furlong, Brooke Ruffin
The article examines Transaction Intercept (TI), an artificial‑intelligence
platform designed to reduce sex trafficking by disrupting the revenue streams
that draw organized crime into the market. Transaction Intercept deploys decoy
online ads that appear to offer commercial sexual exploitation or prostitution.
Automated "decoy" personas connect to individuals who click on these ads and
engage them in text conversations. These exchanges can remain fully automated,
ending with deterrence messages, or be transferred to police for potential
enforcement action or to trained volunteers who attempt to discourage further
attempts to buy sex. Transaction Intercept generates extensive, real‑time data
on local demand for commercial sex, including the characteristics of ads that
attract buyers, the number of unique individuals who respond, and behavioral
patterns by sex. Transaction Intercept generates extensive, real‑time data on
local demand, including the characteristics of ads that attract buyers, the
number of unique individuals who respond, behavioral patterns among sex buyers,
and the outcomes of each interaction. Provided at no cost to law enforcement,
the system allows agencies to quickly assess the scale and traits of
consumer‑level demand for sex trafficking within their jurisdiction. In its
current deployment, Transaction Intercept has facilitated more than 700,000 text
exchanges and identified over 25,000 sex buyers across over 75 U.S. cities. The
article outlines how this technology can inform public policy, strengthen
law‑enforcement practice, and be adapted for use in other national contexts.