Administrative & Productivity Support for IRC Resource Library

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

Service Delivery

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Long-term disaster recovery requires analyzing large amounts of information stored in multiple locations. IRC typically reviews past recovery plans and projects, available federal and state funding options, considers community needs, and other recovery strategies used in the event. High-level reviews are necessary for FEMA Program Areas (IA, PA, etc.) on potential funding gaps and cost share support. Synthesizing that information from the various storage locations, including other departments, IRC SharePoint, and TRAX poses some challenges.

Expected benefits

This use case is designed to solve these challenges by reducing inconsistency in manual research, improving access to historical knowledge, and helping staff quickly identify relevant recovery resources. The purpose of this tool is to assist in the identification of patterns in current and past disaster events. Earlier identification will expedite situational awareness and the development of recovery needs and strategies. It allows the IRC team to define a recovery approach and deliver funding and resources that match a community’s needs more quickly. With faster decision-support for FEMA staff, more consistent analysis across regions, and better use of federal resources to support communities after disasters we are more capable of delivery of the FEMA mission.

System outputs

The AI tool will produce a set of organized, easy-to-read listings, such as bibliographies, recovery projects summaries, evaluate strategies from similar disasters, and recommended approaches tailored to the current available funding. These out-puts will be used by the IRC teams to inform planning discussions, prevent benefit duplication, and guide technical assistance to states and local governments.

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.

Potential impacts and how they were identified

Not reported