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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOI · DOI-0053 · record R2697

Assessment Inventory and Monitoring (AIM) Chatbot

Department of the Interior · BLM

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
NoSource: a) No

Mission

Topic area
Service Delivery
Operational functions
Chatbot or virtual assistant, Summarization, Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AIM program provides access to data from 73,000+ monitoring locations and offers tools, guidance, and workflows to support BLM staff in structured, repeatable data collection and application. While resources enhance decision-making, their volume makes discovery and use challenging, often requiring AIM team support. To streamline access, we propose a Retrieval-Augmented Generation (RAG) chatbot that uses AI to summarize documents and tools via metadata and embedded PDFs, enabling natural language queries. This will help users quickly identify and apply resources relevant to their workflows, reduce manual search time, and improve access to credible scientific evidence for decision-making. The chatbot will also free AIM staff to focus on advanced analysis by handling basic inquiries, increasing efficiency and capacity for both users and the Bureau.

Expected benefits

Data collected under the AIM program are made available for both internal BLM use in decision making and public consumption.

System outputs

Text-based recommendations based on internal guidance documents, monitoring methodologies, and example uses case pertaining to monitoring. The outputs direct the users that the AI responses are strictly for information gathering purposes.

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
No
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
No
Privacy Impact Assessment
Not reported
Authorization to Operate
No
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