US Immigration and Customs Enforcement (ICE) has been using an AI-powered Palantir system to sort through tips sent to its public tip line since last spring, according to a newly released Homeland Security document. The AI Enhanced ICE Tip Processing service aims to help ICE investigators quickly identify and act on urgent cases, as well as translate submissions not made in English.
The system uses commercially available large language models that were trained on the public domain data by their providers, but without additional training using agency data on top of what is available in the models' base set of capabilities. When these models interact with tip submissions, they produce a "bottom line up front" (BLUF) summary – essentially a high-level overview of the tip.
This tool, dubbed AI Enhanced ICE Tip Processing, is intended to reduce the time-consuming manual effort required to review and categorize incoming tips. The Department of Homeland Security claims that this software helps ICE officers make more informed decisions by providing them with precise data.
The release of this inventory marks a significant development in the use of artificial intelligence within ICE operations. It follows previous mentions of Palantir's work on enhancing tip line submissions, as well as an updated internal wiki from January detailing its involvement with ICE.
A separate tool called Enhanced Leads Identification & Targeting for Enforcement (ELITE) has also been deployed to identify potential deportation targets and provide information dossiers on each person. This system pulls data from the Department of Health and Human Services to create maps outlining targets, but notes that its outputs are limited to normalized address data.
ICE has repeatedly called on the public to submit tips through its webform, with a recent X post encouraging users to report suspicious activity to help ICE officers make their community safer.
The system uses commercially available large language models that were trained on the public domain data by their providers, but without additional training using agency data on top of what is available in the models' base set of capabilities. When these models interact with tip submissions, they produce a "bottom line up front" (BLUF) summary – essentially a high-level overview of the tip.
This tool, dubbed AI Enhanced ICE Tip Processing, is intended to reduce the time-consuming manual effort required to review and categorize incoming tips. The Department of Homeland Security claims that this software helps ICE officers make more informed decisions by providing them with precise data.
The release of this inventory marks a significant development in the use of artificial intelligence within ICE operations. It follows previous mentions of Palantir's work on enhancing tip line submissions, as well as an updated internal wiki from January detailing its involvement with ICE.
A separate tool called Enhanced Leads Identification & Targeting for Enforcement (ELITE) has also been deployed to identify potential deportation targets and provide information dossiers on each person. This system pulls data from the Department of Health and Human Services to create maps outlining targets, but notes that its outputs are limited to normalized address data.
ICE has repeatedly called on the public to submit tips through its webform, with a recent X post encouraging users to report suspicious activity to help ICE officers make their community safer.
, even helping US Immigration and Customs Enforcement sort through tips... it's a slippery slope 
. Using AI to summarize tips might seem helpful, but what about the nuances? The context? What if the AI misses something crucial? 
They're basically relying on big language models that were trained on public domain data without any additional ICE training. That sounds like a recipe for disaster... or at least some really bad intel being shared 
! I mean, AI-powered Palantir system sorting through tips? That's like, totally not transparent enough for me... 
What if the AI makes a mistake or misinterprets what people are trying to report? We need more public oversight on these systems ASAP 
#TransparencyMatters #AccountabilityNow
We're relying so much on AI for our everyday lives, from smart homes to law enforcement... it's wild! 
The fact that ICE has been using a Palantir system with large language models since last spring is no surprise, given how fast tech advances. 
According to a recent report, 67% of large businesses experienced a data breach in 2024 alone. 
Time's up for weak passwords and outdated systems!
That's like, a whole lotta cash being pumped into AI development! 
! Just think about it, they're using this fancy technology to sort through tips and make decisions about people's lives 
. But at the same time, it's also kind of creepy 
Not me, that's for sure 
. It's just weird to think about how much data these systems are collecting and what they're doing with it 
. Anyway, it's interesting to see where this tech is going in the US 
also, how do they plan to keep these systems from being hacked or misused by bad actors