DOI · DOI-0014 · record R2731

AI data harvesting project – ECOSphere [2024 INV#DOI-62]

Department of the Interior · FWS

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2024-02-14 (day precision)Source: 2/14/2024
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Science
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

How can we automate the extraction, classification, and transformation of heterogeneous species-related files (e.g., PDFs, Word docs, Excel sheets, images) uploaded by biologists into structured formats compatible with the ETK system, while ensuring accuracy, scalability, and minimal manual intervention?

Expected benefits

The data ingestion process will be automated, enabling the system to extract, classify, and transform data from various file types without human intervention. Species data will become available more quickly, allowing for faster decision-making.

System outputs

The pilot will deliver an AI-powered system that automatically extracts and transforms species-related data from uploaded files into ETK’s required format. It will also produce trained models, a functioning QA feedback loop, and a final report evaluating performance and scalability.

Technology

AI classification: Other
System name(s): Not reported
Custom-developed code: No
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
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: k) None of the above
Training and evaluation data: Species Data
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