Media Classifier for Computer and Digital Storage Evidence
Description
The AI is intended to solve the problem of analysts having to manually sort and review large volumes of media files from digital storage devices, which makes it difficult and time‑consuming to organize evidence and identify potentially relevant material.
Detailed example
The platform incorporates a machine learning model that classifies media evidence from lawfully obtained computer and digital storage devices and suggests category tags based on user-selected categories, such as cars, drugs, or weapons.
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
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
By automating the initial classification of large volumes of media evidence, the platform enables Homeland Security Investigations personnel to more efficiently identify and review potentially relevant information, improving the overall effectiveness of digital investigations.
Controls / human review
ATO: No; PIA: Not published
Data needed
The vendor did not provide information on the data sets used to train its models. However, HSI does not provide the vendor with any agency data to train, fine-tune, or evaluate performance of the model(s) used in this use case.