Over the past 25 years the United States has invested billions of dollars in building a network of surveillance towers along its southern border, often referred to as a “virtual wall.” The declared aims were to detect and apprehend people crossing the border and to reduce deaths in dangerous borderland areas.
Investigation finds hundreds died in monitored zones
A groundbreaking investigation by MIT Technology Review documents that hundreds of people moved through areas watched by these towers without being reached or apprehended and ultimately died there. The reporting shows that some of these deaths occurred in zones monitored by recently installed, AI-powered towers designed to spot people automatically.
Why the findings matter
The investigation’s findings point to repeated failures of the virtual wall’s basic security promise despite large public expenditures and technological upgrades. They also reveal a more visible humanitarian crisis along the border than was previously documented, raising questions about the effectiveness of surveillance infrastructure in preventing deaths.
Conversation with reporters
Mat Honan, editor in chief of MIT Technology Review, hosted a discussion with James O’Donnell, senior AI reporter, and Eileen Guo, senior reporter for features and investigations, to examine where border surveillance technologies have failed and to tell the stories of people who die in the borderlands.
Related reporting and next steps
Related pieces explore why the border surveillance network has not been able to find people before they died, how the first comprehensive map of deaths along the virtual wall was created, and propose four ways to address the failures uncovered along the U.S. border’s virtual wall.
Conclusion
The MIT Technology Review investigation underscores that technological systems, including AI-enabled detection, are not by themselves sufficient to guarantee effective protection or to prevent humanitarian tragedies. The documented cases highlight the need to reassess border security strategies and consider how surveillance systems should respond to people in life-threatening situations.
