Federal immigration enforcement is increasingly shifting beyond traditional field operations, with new methods relying on artificial intelligence, private contractors, and large-scale data analysis to locate individuals for arrest and deportation.
A recent analysis by the American Immigration Council found that U.S. Immigration and Customs Enforcement is providing tens of thousands of names each month to outside companies tasked with identifying and tracking immigrants believed to be in the country without legal status.
The process, known as skip tracing, involves using a mix of public records, commercial databases, online activity, and surveillance tools to determine a person’s location. Long used by debt collectors and private investigators, the practice has now become a central component of immigration enforcement efforts.
According to the report, contractors may receive as many as 50,000 names per month and are expected to locate individuals quickly so enforcement actions can follow. Tasks assigned to these companies can include verifying home addresses, documenting workplaces, and capturing time-stamped images tied to a subject’s whereabouts.
The analysis describes the system as a large-scale, AI-assisted surveillance network that may be tracking more than one million people across the United States. Personal data used in the process can include names, birth dates, and addresses drawn from a combination of government files, commercial data brokers, and online sources. However, details about which databases are used, the accuracy of the information, and how errors are corrected remain unclear.
Several private firms involved in the effort have roots in military and intelligence operations, including Bluehawk LLC and SOS International LLC. Another participant, BI Inc., is a subsidiary of GEO Group, which operates immigration detention facilities, including the Moshannon Valley Processing Center in Pennsylvania.
The report notes that this overlap could create a financial incentive structure in which companies involved in locating individuals may also benefit from the detention of those individuals.
Artificial intelligence plays an increasingly important role in accelerating the process, allowing contractors to sift through large datasets and expand searches across broader geographic areas. While this increases efficiency, the analysis warns it also heightens the risk of mistakes, including misidentifications tied to technologies such as facial recognition.
Contractors are often rewarded for speed, with bonuses tied to how quickly they can confirm a person’s location. The report suggests that these incentives may raise concerns about accuracy, privacy, and due process, as well as the broader role of private companies in conducting surveillance on behalf of the federal government.
Source: Phila Inquirer
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