2_use_case_name: Criminal Investigations (OBIM)
3_agency: Department of Homeland Security
3_abr: DHS
4_bureau: USSS
8_topic_area: Law & Justice
10_commercial_ai: None of the above.
11_purpose_benefits: The intended purpose of this AI is so that USSS INV personnel may submit available photographs or video stills of these unknown persons as probe images (facial images or templates searched against the gallery of an FRS) to other government agencies for comparison against their image galleries. The agencies will query their image galleries of known persons and may provide lists of potential matches. USSS INV personnel may use the potential matches to produce investigative leads which will assist in the further identification of victims or suspects. Additionally, USSS INV personnel may request another government agency to conduct a one-to-one comparison of two photographs or video stills  for investigative use.
12_outputs: The system will query image galleries of known persons and may provide lists of potential matches. USSS INV personnel may use the potential matches to produce investigative leads which will assist in the further identification of victims or suspects.
16_dev_stage: Operation and Maintenance
17_impact_type: Rights-Impacting

18_date_initiated: 10/30/2023
19_date_acq_dev_began: 1/1/2016
20_date_implemented: 1/1/2017
22_dev_method: Developed with both contracting and in-house resources.
23_contract_piids: RUIM-25-00019
24_hisp_support: No
27_public_info: No
29_contains_pii: Yes
30_saop_review: Yes
31_data_catalog: Yes
33_agency_data: OBIM is the data steward for the data in the IDENT system. The data owners are the 45 US and international organizations that collect and submit to IDENT - including DHS Components.
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: Yes
38_code_access: Yes – agency has access to source code, but it is not public.
40_has_ato: Yes
41_system_name: Automated Biometric Identification System (IDENT)
42_dev_tools_wait: Less than 6 months
43_infra_provisioned: Yes
45_compute_request: Other
45_question_type: N/A - OBIM has not developed models for FR/FC and does not perform training on FR/FC AI models
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: Documentation has been developed: Complete documentation detailing model performance across a range of benchmarks, architecture, relevant features and information regarding the appropriate use of the model for predictive tasks has been created.
51_extension_request: No – Agency did not request an extension for this use case.
52_impact_assessment: Yes
53_real_world_testing: Performance evaluation in operational environment: The AI use case has been tested in an operational environment before being fully implemented as a solution, or has been tested in simulated or controlled environment using operational or synthetic data.
54_key_risks: The product was developed by the NEC Corporation using AI and Deep Machine Learning to train the algorithm. However, the current NEC product that is used by OBIM in the production environment does not use AI to continue to train the NEC algorithm on production data. The fact that OBIM/NEC do not use AI on production data to continue to train the algorithm significantly limits the risks associated with the use of AI and ML on the face candidate list process.
55_independent_eval: Yes – by the CAIO
56_monitor_postdeploy: Intermittent and Manually Updated: A plan for monitoring the AI use case is in place, and requires data science teams to work with DevOps engineers to manually update models at scheduled intervals, and create metrics to detect data distribution shifts between the operational environment and the training data for the model. 
57_autonomous_impact: No - Some individual decisions or actions require direct human oversight.
59_ai_notice: Online - in the terms or instructions for the service.
61_adverse_impact: No
62_disparity_mitigation: OBIM is currently working with the DHS CIO's office and DHS Science and Technology (S&T) to deeply evaluate the NEC P1 version algorithm that is currently employed by OBIM for the face candidate service. The NEC NeoFace P1 algorithm has also already been included in the National Institute of Standards and Technology (NIST) face recognition vendor testing and evaluation process. 

63_stakeholder_consult: None of the above
65_appeal_process: Yes
67_opt_out: No – This AI use case is not subject to the opt-out requirement because the AI functionality is solely used for the prevention, detection, and investigation of fraud or cybersecurity incidents, or the conduct of a criminal investigation.