AI-assisted comment triaging tool

Overview

Development stage

DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

2022-06 (month precision)Source: Jun-22

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Administrative Functions

Operational functions

Risk scoring and triage Derived by keyword rules; see methodology

Problem the AI is intended to solve

To reduce labor hours of manual comment review we use AI to assist in comment review and triage, and in identifying form letters.

Expected benefits

Cost savings and time savings to the government.

System outputs

Compiles public comments by topic in the rule.

Technology

AI classification

Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…

System name(s)

Not reported

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Contract and in-houseSource: c) Developed with both contracting and in-house resources

Vendor (as reported)

L&M Policy Research, LLC

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

Contractor uses prior year public comments to train the tool for the upcoming comment period.

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