FCC · FCC-0002 · record R0549

ECFS Comment Analytics Deduplication Services (CADS)

Federal Communications Commission · Wireline Competition Bureau (WCB)

Overview

Development stage: RetiredSource: d) Retired – The use case was reported in the agency’s prior year’s inventory, but its development and/or use has since been discontinued.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Summarization Derived by keyword rules; see methodology

Problem the AI is intended to solve

Solves the challenge of efficiently analyzing large volumes of public comments by automating sentiment analysis, deduplication, and summarization.

Expected benefits

Accelerated and more accurate analysis of public comments, enabling the FCC to better understand public sentiment on net neutrality, reduce manual review burdens, and make more informed, transparent, and timely regulatory decisions that reflect public input.

System outputs

(1) Classifies public comments and filings by sentiment (pro, neutral, against); (2) Identifies and removes duplicate and near-duplicate submissions using clustering algorithms; and (3) Generates AI-powered summaries of filings and attachments to support efficient review and decision-making

Technology

AI classification: Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
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