ICE error meant some recruits were sent into field offices without proper training, sources say

Immigration and Customs Enforcement (ICE) intended to add 10,000 new officers by the end of 2025, but faced issues due to an artificial intelligence (AI) processing error in the recruitment process.
The AI system was meant to identify potential applicants with law enforcement experience to join ICE’s “LEO program,” which required less training for recruits already in law enforcement.
The AI mistakenly categorized individuals without actual law enforcement experience, enrolling them into the program intended for law enforcement officers.
Many new recruits flagged by the AI had backgrounds not related to actual police or federal enforcement, but with merely the word “officer” on their résumés (e.g., compliance officer).
These misinformed individuals were sent for shorter four-week online training instead of the required eight-week in-person training, which includes comprehensive courses and physical fitness tests.
Although ICE’s field offices provide additional training, it is unclear how many of these improperly trained individuals may have started duty and undertaken immigration arrests.
The AI error was discovered in mid-fall during the recruitment surge; ICE initiated corrective actions, including detailed manual reviews of new hires’ résumés.
The officials, who were not authorized for public comments, reported that ICE might not have succeeded in deploying 10,000 officers due to the mistake, despite meeting the enrollment target.

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