Automatic PSC Classification
Description
FTC receives uncategorized complaints from multiple channels and contents of comments varies widely by source.
Detailed example
Categorized Reportfraud.ftc.gov complaints data with improved data quality
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
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Enhances data quality by automatically classifying consumer complaints by PSC (Product and Sevice Code), minimizing the need for manual effort.
Audit / financial statement impact
Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Controls / human review
ATO: Yes; PIA: https://www.ftc.gov/system/files/ftc_gov/pdf/Sentinel-Network-Services-PIA.pdf