The Department of Homeland Security allegedly used AI-powered surveillance technology to identify and track individuals recording federal immigration enforcement operations, threatening to add them to a domestic terrorism database.
A lawsuit filed by two women from Maine alleges that the Department of Homeland Security (DHS) is using artificial intelligence to identify bystanders who are recording federal immigration enforcement operations and then adding those people to a secret database. The plaintiffs claim that federal agents threatened to add them to a database of domestic terrorists because they were legally recording the agents. In one incident captured on video, a federal immigration agent told a woman recording the encounter 'we have a nice little database. And now you're considered a domestic terrorist, so have fun with that.' In another incident, a plaintiff was told 'if you keep coming to things like this, you are going to be on a domestic terrorist watch list. Then we're going to come to your house later tonight.' The lawsuit alleges that federal agents retaliated against the plaintiffs for exercising their First Amendment right to observe and protest federal immigration operations. While DHS has denied that any such database exists, the lawsuit comes as DHS is rapidly expanding its use of AI-powered surveillance tools, including technology that lets agents scan faces, license plates and social media posts in real time. The technology originally meant for tracking non-citizens is now allegedly being used to monitor U.S. citizens, including protesters and bystanders, without a warrant.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
Using AI systems to conduct large-scale disinformation campaigns, malicious surveillance, or targeted and sophisticated automated censorship and propaganda, with the aim of manipulating political processes, public opinion, and behavior.
AI system
Due to a decision or action made by an AI system
Intentional
Due to an expected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed