Open-Source Intelligence for Investigations
Description
The AI is intended to solve the problem of analysts having to manually search and make sense of vast amounts of multilingual, multimodal publicly available online data, which makes it difficult to efficiently identify relevant identifiers, high‑risk content, and patterns needed to support Homeland Security Investigations (HSI) investigations.
Detailed example
The outputs of these platforms include flagged risk alerts, extracted identifiers, image and sentiment classification, and suggested investigative leads. These platforms do not perform biometric identification, facial recognition for identity verification, autonomous targeting, or automated enforcement actions. All AI-enabled outputs are subject to mandatory human-in-the-loop review prior to any investigative, operational, or enforcement action.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
These AI tools significantly reduce the time and effort required to sift through large datasets, improve the ability to uncover relevant information, and enhance the overall efficiency and effectiveness of HSI’s investigative operations.
Controls / human review
ATO: No; PIA: https://www.dhs.gov/sites/default/files/2024-11/24_1126_priv_pia_ice064_socialmedia.pdf
Data needed
The AI platforms used for open-source intelligence investigations rely on pre-trained large language models, natural language processing models, and other third-party AI services. These models are trained on publicly available and commercially licensed data. No DHS or agency data is used to train, fine-tune, or develop the AI models.