DOL · DOL-40 · record R1306

Comment Actionability Likelihood Score

Department of Labor · BLS

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: Used for customer feedback survey and assists staff with reviewing comments, does not replace human involvement
Start date: 2024-09-01 (day precision)Source: 09/01/2024 00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Other: Applied Mathematical SciencesSource: Other - Applied Mathematical Sciences
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Many comments submitted through the BLS.gov customer satisfaction survey are not actionable (i.e., do not provide an issue or explanation of what could improve the user experience). Non-actionable submissions increase the burden on those tasked with reviewing comments.

Expected benefits

The tool reduces the burden on those tasked with reviewing these comments by providing them with a means to sort them by how actionable they are likely to be.

System outputs

The output is a logistic regression model's predicted probability that a comment would be labeled as actionable feedback for the agency.

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): BLS Internal System
Custom-developed code: Yes
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: Customer satisfaction survey responses that are collected through a Touchpoints form on BLS.gov
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