2_use_case_name: Survey Comment Ham / Spam Tester
3_agency: General Services Administration
3_abr: GSA
4_bureau: FAS (TTS)
8_topic_area: Other
8_question_type: Qualitative Data Analysis
10_commercial_ai: None of the above.
11_purpose_benefits: The website USA.gov receives a lot of survey comments. We need a way to determine which comments are worth the time of analysts reading and which are not.
12_outputs: A determination of whether the data is "worth reading"
16_dev_stage: Retired
17_impact_type: Neither
19_date_acq_dev_began: 4/1/2020
20_date_implemented: 7/1/2020
21_date_retired: 7/1/2021
22_dev_method: Developed with both contracting and in-house resources.
24_hisp_support: No
25_hisp_name: Public Experience Portfolio – GSA 
26_public_service: Enable increased self-service through an expansion of digital costumer service tools
27_public_info: No
29_contains_pii: No
30_saop_review: No
31_data_catalog: No
33_agency_data: Compared to thousands of evaluations made by people
34_data_docs: Documentation is missing or not available: No documentation exists regarding maintenance, composition, quality, or intended use of the training and evaluation data.
37_custom_code: Yes
38_code_access: No – agency does not have access to source code.
39_code_link: A simple custom model, but the actual rules based on the model are hidden within GCP.
40_has_ato: No
41_system_name: USA.gov
42_dev_tools_wait: Less than 6 months
43_infra_provisioned: Yes
45_compute_request: No
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.
51_extension_request: No – Agency did not request an extension for this use case.
52_impact_assessment: No
53_real_world_testing: No testing: No testing of the model to simulate performance in an operational environment has been conducted thus far.
55_independent_eval: Planned or in-progress
56_monitor_postdeploy: No monitoring protocols have been established: Necessary infrastructure needed to perform monitoring of AI systems in production is not available and/or a plan to monitor models has not yet been established.
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
63_stakeholder_consult: None of the above
65_appeal_process: No – Law, operational limitations, or governmentwide guidance precludes an opportunity for an individual to appeal.
66_no_appeal_reason: Law, operational limitations, or governmentwide guidance precludes an opportunity for an individual to appeal.
67_opt_out: No – This AI use case is not subject to the opt-out requirement because the AI functionality is solely used for the prevention, detection, and investigation of fraud or cybersecurity incidents, or the conduct of a criminal investigation.