How Immigrants and Protesters Are Being Caught in ICE’s AI Dragnet

AI tool for monitoring once limited to battalion fields is now used by immigration authorities for the supervision of streets, protests and communities across the country.

American immigration and customs implementation (ICE) and other federal agencies increase their use of face recognitionpredictive AI and drones.

This caused an alarm among civil freedoms, advocating for privacy, supervision and aiming for unfathomable immigrants and American citizens.

Last weekend, while protesters marched through the Los Angeles Center, the drone hovered overhead monitoring Vandalirobbers and those who attack the federal agent-the amendment that control over AI drive is increasingly entering public spaces.

Two days later, the Homeland Security Department posted footage on X, allegedly caught a Predator Drone, showing scenes from the protest. The video highlighted the increasing use of military class technology in domestic surveillance.

“There are always worries about drone use, partly due to perception,” said the Director of the Skysafe Drug Discovery Company, Grant Jordan, said Decipher. “When the average person sees a drone, he does not know his purpose or who manages him. Unlike a helicopter, where the operator is clear, drones are distant and ambiguous.”

Among the most aggressive adoption of supervisory technology are the Department of Homeland Security and American immigration and customs implementation, which integrated the AI ​​into almost every phase of immigration, from the identification of individuals to the prediction of their likelihood of skipping the date of court court.

In addition to drones and cameras with enabled AI, Ice uses a variety of AI drives system which act behind the scenes in the decisions of implementation and custody.

Here are some of the key technologies used:

Palantir -O’s operating system of immigration life cycle (Ilos)

• Also known as ImmigrationPalants Ilos creates detailed profiles of deportation goals using integrated federal data sets and real -time monitoring.

Mobile devices analysis

• They use researchers and analysts to recognize and draw evidence, relationships and networks from mobile data information, using machine learning opportunities to determine locations of interest.

Voice analytics and translation

• A voice analytics tool that uses machine learning to transcribe and translate multilingual sound, allowing agents to more effectively identify research potentials and analyze evidence without relying only on a manual examination.

Face recognition technology

• They use homeland security investigations to identify victims and perpetrators in cases of children exploit. Technology creates potential identities of victims and offenders; However, Ice said that the executive actions are not only taken on these potentials.

The result of a hurricane

• Predickeb the risk of compliance for non-tabing immigrants in ICE supervision program. A hurricane assessment is a quasi-binu model of a binary classification machine learning that is given information about the individual and is determined that an individual will not appear on hearing, based on the patterns that the model has learned from inactive information on cases.

While federal agencies argue that tools improve efficiency and public security, advocates civic freedom warns that they are often distributed without transparency or supervision, which is a cold threat of privacy and disproportionately affect the immigrant and marginalized community.

“We know that immigrants’ communities face disproportionate police procedures, especially black and brown immigrants, and the supervisory technology is part of a larger control system to the police of their daily lives,” said Citlaly Sea with a non -profit organization only Futures Law, Decipher.

“We know that DHS has arsenal full of weapons, and its main purpose is to identify and eventually deport individuals. In the hands of ice, these technologies are a danger to the safety of our communities,” she added.

She continued: “Supervision of any kind, especially when carried out by the Government or the police, has the potential for cooling speech and the right to the first amendment of people. When it comes to groups that exercise their right to protest or immigrant community, we know that supervision is used to target and cause harmful effects.”

Proponents claim that community engagement is crucial in the fight against unverified expansion of control technology at the local level.

“Apart from becoming politically active, it is important not to accept these technology and how the government uses them,” said Jay Stanley, a senior analyst of politics with ACLU, said Decipher.

“Local law enforcement and other agencies should serve the public. This means that if the communities are objected to and say,” We do not want the police to use drones in our neighborhoods or the monitoring and storage of our movements, “it should be respected,” Stanley added.

Stanley also said that communities should not accept the use of supervisory technology as inevitable.

“We cannot stop his development, but we can decide how he is deployed in our communities and that they are government agencies and are not allowed to use it,” he said.

LED and DHS did not answer Decipherptic Commentary requests.

Edited Sebastian Sinclair