2_use_case_name: Person-Centric Identity Services Deduplication Model
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: Using Machine Learning allows us to improve entity resolution as compared to rule based system.

PCIS offers the ability to see a person's immigration history organized in one place. Specific benefits do or will include: an organized summary view of the identity with the individual's latest photo from PCIS; full immigration history including receipts associated with the applicant, regardless of case management system; mailing, physical, and safe history of the individual organized in reverse chronological order, allowing users to easily find the most recent address; and all identifiers associated with the applicant, including A-Numbers, FINs, SSNs, SSNs, ELIS account numbers, passport numbers, etc.
12_outputs: Numerical likelihood score which is used to determine if the record belongs to the individual. Likelihood scores are subjected to a high threshold (.98, maximum 1) to assess whether the record belongs to the individual.
16_dev_stage: Operation and Maintenance
17_impact_type: Rights-Impacting

18_date_initiated: 1/1/2020
19_date_acq_dev_began: 1/1/2020
20_date_implemented: 2/1/2023
22_dev_method: Developed with contracting resources.
23_contract_piids: 47QTCA22D00AB
24_hisp_support: No
27_public_info: No
29_contains_pii: Yes
30_saop_review: Yes
31_data_catalog: Yes
33_agency_data: USCIS-only data derived from 7 form-processing source systems including C3, ELIS, CPMS, GLOBAL, CIS2, AR-11, CAMINO.
34_data_docs: Documentation has been partially completed: Some documentation exists (detailing the composition and any statistical bias or measurement skew for training and evaluation purposes), but documentation took place within this use case’s development.
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: Person Centric Identity Services
42_dev_tools_wait: Less than 6 months
43_infra_provisioned: Yes
45_compute_request: Yes
47_timely_resources: Yes
49_existing_reuse: Use of existing data platforms: This use case is being developed on existing enterprise data and analytics platforms within the agency rather than procuring additional platforms or SaaS to operate.
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: There is small risk of false positives or negatives, which are identified and sent to Manual Resolution Queue. The queue is processed by authorized and trained personnel. Human review is still done for the actual benefit or request being sought. AI is used to identify the person seeking the benefit or request.  
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: N/A - The model is agnostic to demographics.
63_stakeholder_consult: Direct user testing
65_appeal_process: No – it is not operationally practical to offer this.
66_no_appeal_reason: The model is only an entity resolution tool.
67_opt_out: Other
67_question_type: No, the model is not an automated decision-making tool, but functions as a tool that plays a critical role in the entity resolution and surfacing of a person and all their associated records.