Veritone Redact
Department of Justice · Department of Justice / ATF
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
- 2024-11 (month precision)Source: 11/2024
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Administrative Functions
- Operational functions
- FOIA and records management Derived by keyword rules; see methodology
Problem the AI is intended to solve
The purpose of the AI use case in Veritone Redact is to support ATF in processing Freedom of Information Act (FOIA) requests by automating the redaction of sensitive information within audio and video files.
Expected benefits
The expected benefits of the AI use case in Veritone Redact involve enhancing the efficiency and accuracy of redacting sensitive information within audio and video files. By automating the identification and redaction of personally identifiable information and other confidential content, the AI reduces the time and effort required from staff to process multimedia materials. This leads to faster turnaround times for releasing information, thereby reducing customer wait times for FOIA requests. The AI-driven redaction process also helps ensure compliance with privacy laws and regulations, minimizing the risk of inadvertently disclosing sensitive information. These efficiencies result in cost savings through reduced labor hours and improved resource allocation. Overall, the AI in Veritone Redact is expected to improve operational efficiency, enhance compliance, and support timely access to information for the public.
System outputs
The AI system in Veritone Redact outputs recommendations and automated actions to support the redaction of sensitive information within audio and video files. It intelligently identifies personally identifiable information and other confidential content that may need to be redacted under legal exemptions. All suggested redactions are reviewed and approved by human staff to ensure compliance with legal standards.
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- 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)
- aiWARE
- 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
- This AI use case utilizes one or more of the demographic variables listed in compliance with all federal laws and agency regulations.
- 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