2_use_case_name: Redaction Studio - Redaction Assistant
3_agency: Department of the Treasury
3_abr: TREAS
4_bureau: Internal Revenue Service
8_topic_area: Mission-Enabling
10_commercial_ai: None of the above.
11_purpose_benefits: Redaction Studio is a Commercial Off The Shelf (COTS) application that allows Criminal Investigation (CI) Special Agents to efficiently and securely redact body worn camera footage. The application provides an "AI masking" feature called Redaction Assistant that will attempt to automatically identify and mask (i.e. redact) items like faces. The masks proposed by the feature can be reviewed, adjusted, or removed by the Special Agent using the application. IRS:CI is not training or tuning a model, we are just proposing that Agents be able to use an "AI"/ML feature.

Efficient redaction of body worn camera footage is needed to comply with Executive Order 14047 which requires the expedited public release of body worn camera footage following incidents involving serious bodily injury or death.

Axon, the creator of Redaction Studio, describes the assistant like this:
"The Redaction Assistant is an advanced AI tool within Redaction Studio that significantly speeds up the redaction process. By scanning through footage, it finds and suggests areas that may need redaction, such as faces or personal information, saving time and enhancing accuracy. Redaction Assistant is an Axon Redaction studio add-on and might not be available in all agencies."

Some details on using it can be reviewed here:
https://my.axon.com/s/article/Using-Redaction-Assistant?language=en_US
12_outputs: Axon, the creator of Redaction Studio describes the assistant like this:
"The Redaction Assistant is an advanced AI tool within Redaction Studio that significantly speeds up the redaction process. By scanning through footage, it finds and suggests areas that may need redaction, such as faces or personal information, saving time and enhancing accuracy."
16_dev_stage: Implementation and Assessment
17_impact_type: Neither
18_date_initiated: 1/1/2023
19_date_acq_dev_began: 7/16/2024
20_date_implemented: 11/30/2024
22_dev_method: Developed with contracting resources.
23_contract_piids: 2032H5-24-D-00007
24_hisp_support: No
27_public_info: No
29_contains_pii: No
30_saop_review: Yes
31_data_catalog: Other
31_question_type: This use case does not require datasets
33_agency_data: This use case does not require datasets and does not involve training, fine-tuning or evaluation of a model.
34_data_docs: Documentation is missing or not available: No documentation exists regarding maintenance, composition, quality, or intended use of the training and evaluation data.
37_custom_code: No
38_code_access: No – agency does not have access to source code.
40_has_ato: Yes
41_system_name: CI-1 ,CI-2
42_dev_tools_wait: Less than 6 months
43_infra_provisioned: Other
43_question_type: No infrastructure required
45_compute_request: Other
45_question_type: No process required, no training, no fine-tuning.
47_timely_resources: Yes
49_existing_reuse: None: This use case does not re-use any internally developed tooling or managed infrastructure from any other AI development efforts within the agency.
50_internal_review: No documentation is available: No documentation detailing model performance metrics, model architecture, features and intended use of the models have been created or are currently accessible to other data science teams within the agency.