Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-2726 · record R1841

Semantic Search, Summarization, and Data/Spatial Visualization for NCR Watch COP/Dashboard

Department of Homeland Security · FEMA

Overview

Development stage
In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
Not reported
Withheld from public reporting
Not reported

Mission

Topic area
Emergency Management
Operational functions
Summarization, Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

The speed of information, particularly in a developing incident, challenges the capacity of Analysts to collect, sort, source, and validate in real time. The volume of information required to confirm with confidence requires time to review. The time focused on these tasks permit less time for moving from basic situational awareness to providing the contextual value to give national capital region (NCR) stakeholders situational understanding, which allows them to fully utilize the information for operational decision-making. The AI would provide a tool for collection and synthesize of the available data, as well as geospatial context.

Expected benefits

Expedited continuous scraping of data from identified official and unofficial open sources and comparison against pre-defined critical information requirements with summarization and sourcing of information for review and approval by the FEMA NCR Watch Analyst for publication improves the efficiency and effectiveness of the NCR Watch by allowing Analysts to focus on consuming and validating information and adding value with context. The self-designated federal, state, local, and tribal (FSLT) partners in the NCR who receive NCR Watch products would benefit from greater fidelity in provided information and ability to use the information more easily for operational decision-making. Anticipate the breadth of sources and speed of review through automation to be increased and allow for created contextualization and analysis products by Analysts based on the improved data production, as well as geospatial automation in combination with incident data. Faster Decision-Making: vast amounts of data instantly, enabling rapid identification of critical information for timely responses. Improved Accuracy: potential of reducing human error by filtering irrelevant data and prioritizing actionable insights. Enhanced Situational Awareness: improve the breadth of information analysis and overall awareness of activities in the NCR. Resource Optimization: helps allocate resources efficiently based on real-time needs. Predictive Insights: forecast potential developments, aiding proactive measures, and reduced Information Overload: streamline data, ensuring decision-makers focus on key priorities.

System outputs

The anticipated output is a Common Operating Picture platform or Dashboard available to FSLT subscribers (free) in the NCR to display incident reporting and associated contextual information, such as the physical location on an ArcGIS map. Simultaneously, a non-public COP will contain additional contextual information for providing internal FEMA reporting. AI will produce continuous data queries and create alerts for Analysts for items meeting configurable critical information requirements and essential elements of information. AI will deliver configurable summary of sourced material on pre-defined CIRs to Analyst for review and publication to internal and/or external COP/Dashboard. AI will have tools for additional contextual analysis and spatial and data visualization for use in the internal and/or external COP/Dashboard.

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