2_use_case_name: MAPPRITE
3_agency: Department of Energy
3_abr: DOE
4_bureau: EHSS HQ -  Office of Environment Health Safety & Security (EHSS)
8_topic_area: Mission-Enabling (internal agency support) 
10_commercial_ai: Searching for information using AI.
11_purpose_benefits: (1) The implemented AI will help automate data mining, ingesting, and indexing of existing disparate organizational data sources information for relevant safeguards and security (S&S) support information; and the (2) expected benefits will be to help improve EHSS-51 business workflows for researching potentially relevant S&S support data available such that the information will be accessible and searchable by policy subject matter specialists for awareness and additional context for strategic decision-making and policy management  
12_outputs: In its full implementation phase, the application's AI output will provide S&S policy [support] data available such that the information will be accessible and searchable by policy subject matter specialists for strategic decision-making and policy management without having to manually search through hundreds of sources for relevant information.
16_dev_stage: Acquisition and/or Development
17_impact_type: Neither
18_date_initiated: 6/22/2023
19_date_acq_dev_began: 7/15/2024
22_dev_method: Developed with both contracting and in-house resources.
23_contract_piids: Leveraged existing contract vehicle with DOE laboratory
24_hisp_support: No
27_public_info: No
28_iqa_compliance: The data for this application is being acquired from multiple existing sources (laws, regulations, standards) and from knowledge possessed by subject matter experts.  Data review and curation processes are being developed and applied.
29_contains_pii: Yes
30_saop_review: No
31_data_catalog: No
33_agency_data: Department of Energy Directives. Requirement source documents, such as statutes, regulations and standards were also provided to the development team to assist with ingesting content to the AI model via AWS Kendra.  
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.
39_code_link: Code is not publicly available
40_has_ato: Yes
41_system_name: Provisional Authorization to Operate (P-ATO) for the Methodology for Analyzing and Prioritizing Policy Requirements and Integrating Them for Effectiveness (MAPPRITE)
42_dev_tools_wait: 6-12 months
43_infra_provisioned: Other
43_question_type: The required IT infrastructure was provisioned and coordinated via the hosting lab's intake process. This application will also leverage EHSS-72 change control process.
45_compute_request: Other
45_question_type: Computing resources for the current development and testing phases were coordinated via the lab hosting the application software prototype. The application will be on a cloud-service provider (AWS GovCloud). 
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.