DHS · DHS-204 · record R1809
Semantic Search and Summarization for Investigative Data
Department of Homeland Security · ICE
Overview
- Development stage
- In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
- High-impact designation
- Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact
- Impact justification
- This use case provides a natural language contextual search and summarization capability against existing Reports of Investigation and other investigative data, producing more relevant search responses and investigative insights in the form of data, information leads or connections that HSI personnel can use to inform investigations. The AI output (search queries and responses) provide investigators with easy-to-read search responses that are accompanied by links to source material for further analysis. Any data used to produce these investigative insights are first obtained through legal means and processes for the purposes of law enforcement investigations and do not significantly impact the categories listed in the definitions of “high-impacting AI.” Personnel may use these insights for law enforcement purposes in ongoing investigations with existing targets to assist in activities such as producing risk assessments about individuals or identifying criminal suspects; however, all insights are reviewed and validated by both personnel and supervisors before being included in any official case management system, and do not serve as a principal basis for enforcement decisions. Any enforcement decisions related to these insights are outcomes of the full Federal Investigation Process involving verifying any insights as evidence.
- Start date
- Not reported
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Law Enforcement
- Operational functions
- Summarization, Search and knowledge retrieval Derived by keyword rules; see methodology
Problem the AI is intended to solve
This use case intends to solve the problem of searching and extracting relevant information from large volumes of unstructured investigative data.
Expected benefits
The benefits of using this AI include increased efficiency, reduced risk of missing valuable information, and enhanced investigative capabilities.
System outputs
The outputs of this AI technology are the extracted relevant information and summaries.
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- Not reported
- Custom-developed code
- Not reported
- Public source code
- Not reported
Sourcing
- How it was built
- Not reported
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Not reported
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Not reported
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported