DOJ · DOJ-0015 · record R1489

Axon Evidence.com

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: High-impactSource: a) High-impact
Impact justification: Not reported
Start date: 2020-01 (month precision)Source: 01/2020
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Law Enforcement
Operational functions: FOIA and records management Derived by keyword rules; see methodology

Problem the AI is intended to solve

ATF's use of Axon body-worn cameras and the associated evidence.com service are integral to ensuring ATF's compliance with DOJ policy documented in DOJ OIG, Inspector General Manual, Volume III, Chapter 236, Body Worn Camera Program. Body cam videos are transferred to the Axon Evidence.com service, which includes AI-based features for performing recognition of heads in videos for the purpose of redaction. ATF has performed limited testing of these capabilities, but is not operationally using them.

Expected benefits

Evidence.com provides AI-based features that identify the presence of heads in videos and can perform automated redaction. This would increase the efficiency of redacting video evidence for release. However, ATF is not operationally using them.

System outputs

Evidence.com AI capabilities will output bounding boxes around heads that are identified in videos, for input to redaction processes. These AI functions are not being operationally used.

Technology

AI classification: Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
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): Axon
Vendors (standardized): Axon

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

8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingReported in progressSource: b) In-progress

AI impact assessmentReported in progressSource: b) In-progress

Independent reviewReported in progressSource: d) In-progress

Ongoing monitoringReported in progressSource: b) Development of monitoring protocols is in-progress

Operator trainingReported in progressSource: b) Establishment of sufficient and periodic training is in-progress

Fail-safeReported in progressSource: c) In-progress

Appeal processReported in progressSource: c) Establishment of an appropriate appeal process is in-progress

User and public consultationReported in progressSource: e) In-progress

Potential impacts and how they were identified

Consistent with Executive Orders and OMB guidance, the case owner relied on DOJ AI governance practices to evaluate impacts and risks.