2_use_case_name: I-765 - USCIS Facial Recognition through IDENT (1:1 Face Recognition/Validation)
3_agency: Department of Homeland Security
3_abr: DHS
4_bureau: USCIS
8_topic_area: Law & Justice
10_commercial_ai: None of the above.
11_purpose_benefits: This will allow the user to complete the biometric verification requirement without having to attend an appointment at am Applicant Support Center. This reduces the burden on the beneficiary as well as reducing demands on USCIS Applicant Service Center resources.
12_outputs: Match or no match response from IDENT.
16_dev_stage: Operation and Maintenance
17_impact_type: Rights-Impacting

18_date_initiated: 10/3/2023
19_date_acq_dev_began: 10/3/2023
20_date_implemented: 11/12/2024
22_dev_method: Developed with contracting resources.
23_contract_piids: 70SBUR23F00000126
24_hisp_support: Yes
25_hisp_name: U.S. Citizenship and Immigration Services – DHS 
26_public_service: Enable increased self-service through an expansion of digital costumer service tools
27_public_info: No
29_contains_pii: Yes
30_saop_review: Yes
31_data_catalog: No
33_agency_data: N/A - Agency does not own any data used to train, fine-tune, or evaluate the use case.
34_data_docs: Documentation is widely available: Documentation is not only complete, but is widely accessible within the agency, and has an owner and a regular update cadence.
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: Customer Profile Management System
42_dev_tools_wait: Less than 6 months
43_infra_provisioned: No
45_compute_request: No
47_timely_resources: Other
49_existing_reuse: Re-use production level code from a different use-case: This use case re-uses production level code and/or internally developed code libraries for model development from existing AI systems or repositories inside the agency.
50_internal_review: Limited documentation for review: Some information regarding the model’s performance on specific benchmarks are available or have been shared with specific stakeholders within the agency.
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: Potential mismatch of face images and/or bias based on demographic data held by USCIS.   USCIS is in the process of developing a reporting mechanism for false negative matches that will highlight any disparate impacts on various demographics. USCIS will produce an internal annual overview of the facial recognition results and any data points USCIS has about demographics. The use case has been found to not lead to or perpetuate unlawful discrimination or bias.
55_independent_eval: Yes – by the CAIO
56_monitor_postdeploy: Automated and Regularly Scheduled Updates: Some aspects of the plan to monitor the AI system post-deployment are automated including re-training of models after detecting drift; however, data science teams are still significantly involved in the monitoring and re-deployment process.
57_autonomous_impact: No - Some individual decisions or actions require direct human oversight.
59_ai_notice: N/A - individuals are not interacting with the AI for this use case
61_adverse_impact: No
62_disparity_mitigation: The development of the face matching AI by the vendor began several years ago and it has been continuously updated since. . The algorithms are industry leading as measured by NIST’s Face Recognition Technology Evaluation (FRTE) n:1 benchmark. All testing met or exceeded expectations. [Meets § 5(c)(iv)(B)]
63_stakeholder_consult: General solicitations of comments from the public,Other
65_appeal_process: Yes
67_opt_out: No – There is law or governmentwide guidance that restricts opt-out for this context.