Thalía Sánchez has provided her driver's licence, utility bills, vehicle registration, and mortgage statement to Alsip Hazelgreen Oak Lawn School District 126 in Illinois, yet the district has repeatedly denied her daughter's enrolment. The reason? Licence plate recognition software showing only Chicago addresses overnight in July and August.
For the child waiting to start school, the stakes could not be higher. Education is the foundation of opportunity, and administrative barriers to enrolment deny students the classroom time they need. Yet this case raises a deeper institutional question: should school districts outsource enrolment decisions to surveillance technology designed primarily for law enforcement?
Alsip Hazelgreen Oak Lawn School District 126 began a 36-month, $41,904 contract with Thomson Reuters Clear in December 2024 to use their licence plate recognition software for residency verification. The premise sounds efficient: automated systems checking vehicle movements to confirm families actually live where they claim. The district's own website states District 126 uses the CLEAR software program as a component of our residency verification process.
But the technology has significant blind spots. Thomson Reuters Clear claims it can automate residency verification with enhanced reliability, completing tasks in minutes rather than months, and access licence plate data to develop pattern of life information. What it cannot easily do is distinguish between a person living somewhere and a person temporarily lending their car to a relative. Sánchez says she loaned her vehicle to a family member in Chicago last summer. Now it's back in her driveway.
The lack of transparency is troubling. It's not clear how sightings of Sánchez's car at Chicago addresses over more than two months were enough to challenge her residency claim for school enrolment, nor whether she was given the opportunity to appeal the decision. No published standard exists explaining how many plate reads, over what time period, trigger rejection. The district did not respond to questions about its decision-making process.
Surveillance advocates argue that automated systems reduce human bias and fraud. Licence plate readers do capture objective data: a plate, a location, a timestamp. But expertise matters. Errors can arise in at least two ways: inaccurate hot lists and inaccurate reads. More fundamentally, objective data can produce subjective conclusions. A car at a location is data. The meaning of that data depends on interpretation.
The case also highlights a critical tension in modern governance. Thomson Reuters does not specify where it gets its licence plate reader data and did not respond to questions. Schools outsourcing enrolment decisions to commercial surveillance vendors lose direct control over the criteria being applied. Parents have no clear pathway to challenge algorithms they don't understand, operated by companies with no transparency obligations to families.
Privacy researchers have documented systemic problems with licence plate tracking. Privacy issues with this technology include government tracking citizens' movements, misidentification, high error rates, and increased government spending. When schools adopt these tools, they import all these risks. A student's family life, a single temporary decision, can trigger permanent enrolment denial based on a system with no published accuracy standard and no clear appeals process.
The district has said it will review its policies. That step is welcome but overdue. Schools have a duty to serve students fairly and transparently. That duty includes explaining how decisions are made and providing genuine opportunity for families to contest them. Surveillance technology can assist enrolment verification, but it cannot replace human judgment, disclosure, and due process. When a child's access to school hangs on a data point, the burden must be on the institution to prove error, not on the parent to prove innocence.