Public Comment Analysis
Department of Justice · Department of Justice / Department wide
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
- Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact
- Impact justification
- 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.
- Start date
- 2023-01 (month precision)Source: 01/2023
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Administrative Functions
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
DOJ strives to better serve the American public. For support timely responses following public comments submissions, especially for regulatory missions, this capability will facilitate efficient processing of duplicate and similar comments, while helping categorize, cite, and map public comments.
Expected benefits
This tool improves text analysis and the timeliness of such analysis. Importantly, the tool contains technology to quickly identify, organize, and address high-volume public comments, including letter submissions. It supports the development of dashboards to provide metrics.
System outputs
Data results, comparisons, and analyses for DOJ personnel to review and assess.
Technology
- AI classification
- Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
- System name(s)
- Redacted for cybersecurity purposes.
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- Docketscope
- 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
- No
- Demographic features
- k) None of the above
- Training and evaluation data
- The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.
- 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.
Potential impacts and how they were identified
Not reported