DOL · DOL-28 · record R1297

Computer-Assisted Coding: SOII Autocoder

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 survey processing for statistical purposes
Start date: 2015-01-15 (day precision)Source: 01/15/2015 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

The Survey of Occupational Injuries and Illnesses (SOII) collects hundreds of thousands of narratives describing cases of work-related injury and illness annually. Using narratives and other relevant information, SOII Autocoder automatically assigns classifications for SOII elements, which include worker occupation, nature of the injury, part of body affected, event that resulted in the injury, source and secondary source (if it exists) that caused the injury. This process used to be performed entirely by human staff.

Expected benefits

Efficiency and data quality improvements

System outputs

SOC and OIICS codes

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: Yes
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: SOII records
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