2_use_case_name: WCD-AI
3_agency: Department of Energy
3_abr: DOE
4_bureau: ANL - Argonne National Laboratory (SC43 OIM)
8_topic_area: Mission-Enabling (internal agency support) 
10_commercial_ai: None of the above.
11_purpose_benefits: Recommend keyword-based search for relevant Lessons Learned published on DOE OPEXShare.
12_outputs: Recommended keywords for search based on user-authored Work Control Document.
16_dev_stage: Operation and Maintenance
17_impact_type: Neither
18_date_initiated: 6/1/2020
19_date_acq_dev_began: 7/1/2020
20_date_implemented: 2/1/2021
22_dev_method: Developed in-house.
24_hisp_support: No
27_public_info: No
29_contains_pii: No
30_saop_review: No
31_data_catalog: Yes
33_agency_data: Existing Work Control Document records in database system.
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.
35_demo_features: Other
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: Argonne National Laboratory Information Technology Infrastructure
42_dev_tools_wait: Less than 6 months
43_infra_provisioned: No
45_compute_request: No
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: 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.
51_extension_request: No – Agency did not request an extension for this use case.
52_impact_assessment: No
53_real_world_testing: Impact evaluation in operational environment: The AI use case has been tested in an operational environment before being fully implemented as a solution and has utilized randomized experiments with a control group or other counterfactual, social systems analysis, or other rigorous research methodologies to evaluate impact and identify potential harm to users as well as broader groups of people.
54_key_risks: AI use case provides recommendation of keywords for user to perform a manual search. Negligible risk.
55_independent_eval: Planned or in-progress
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: Other, if other please explain in next question.
59_question_type: AI use case provides recommendation of keywords for user to perform a manual search. Negligible risk.
61_adverse_impact: No
62_disparity_mitigation: Users can provide feedback.
63_stakeholder_consult: Other
63_question_type: Follow individual direct user feedback.
65_appeal_process: No – it is not operationally practical to offer this.
66_no_appeal_reason: The application simply provides suggsted keywords for further research.
67_opt_out: Yes