Computer-Assisted Review: ORS Autocoder
Description
The Occupational Requirements Survey (ORS) collects and publishes information about specific work-related requirements. Every year, thousands of collected data must be reviewed manually by human staff. The ORS Autocoder, on a regular basis, autocodes and clears certain edit flags from records which it deems to be good, allowing human staff to focus on reviewing data that are more likely to be incorrect.
Detailed example
SOC code
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Efficiency and data quality improvements
Audit / financial statement impact
Used for survey processing for statistical purposes
Controls / human review
ATO: Yes; PIA: N/A
Data needed
ORS Records