DOI · DOI-0091 · record R2662

Diploid Detector/Triploid Tracker for Grass Carp

Department of the Interior · USGS

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

Problem the AI is intended to solve

There are expected benefits from the ability to determine whether Grass Carp can reproduce (diploid, with two sets of chromosomes) and thus take over and damage an ecosystem, or whether the captured Grass Carp have three sets of chromosomes (triploid) and were hatchery produced and will not reproduce: (1) the fish can be eliminated immediately (2) law enforcement can address illegalities per state per the Lacey Act (3) the ecosystem will be maintained and protected from reproductive Grass Carp.

Expected benefits

science for development, evaluation, and refinement of technologies for preventing the spread of Grass Carp to uninvaded waters, and for reducing populations where where they are present or established.

System outputs

The output is the prediction that an individual Grass Carp is triploid or diploid. The final product should be able to be used with additional fish species.

Technology

AI classification: Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s): Not reported
Custom-developed code: No
Public source code: www.opencv.ai ↗

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: k) None of the above
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