2_use_case_name: Privacy Act Automation Services - Disclosure.AI
3_agency: Department of Veterans Affairs
3_abr: VA
4_bureau: VBA: Veterans Benefits Administration
8_topic_area: Government Services (includes Benefits and Service Delivery)
10_commercial_ai: None of the above.
11_purpose_benefits: The PAA System will automate PA workflows that are currently highly manual. Automating PA processing will benefit Veterans by decreasing the time they have to wait to receive requested records, and it will benefit the VA by reducing the time that staff need to support PA request processing. Tools/techniques that may be categorized as AI improve the automated processing that provide these benefits, but AI technology is ancillary to other technology utilized in the PAA system. Machine learning is used to identify specific documents (DD-214, Decision Letters, Service Records, etc.) and AI is used to improve and expedite data extraction as well as identify and apply automated redactions. The process is designed with Human in the Loop (HITL) and Government in the Loop (GITL) roles.
12_outputs: The PAA System automates the process of ingesting PA requests, retrieving requested records, and redacting requested records when necessary. The outputs of the PAA System are reviewed by Deloitte’s managed service team and by the VA for accuracy and completeness before the requested records are sent to the requester. The outputs consist of records held by VBA within Claim Evidence (VBMS) that have appropriate redactions applied for 3rd party information before release to the 1st party requestor or their designee.
16_dev_stage: Implementation and Assessment
17_impact_type: Neither
18_date_initiated: 1/10/2023
19_date_acq_dev_began: 9/27/2023
20_date_implemented: 11/18/2024
22_dev_method: Developed in-house.
24_hisp_support: Yes
25_hisp_name: Veterans Benefits Administration
27_public_info: No
28_iqa_compliance: N/A. D.AI does not involve scientific, financial, or statistical information.
29_contains_pii: Yes
30_saop_review: Yes
31_data_catalog: Yes
33_agency_data: Agency Enterprise Data Warehouse (EDW) data is used to track pending and completed Privacy Act requests for information and their respective performance metrics, to include average days pending and average days to complete to ensure the D.AI solution exceeds the metrics for the existing manual process and meets the contractually obligated service levels for accuracy and turn around (completion) times.
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: No – agency does not have access to source code.
40_has_ato: Yes
41_system_name: Privacy Act Automation/Disclosure.AI
42_dev_tools_wait: More than 12 months
43_infra_provisioned: No
45_compute_request: Yes
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: 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.