2_use_case_name: Gemini for Workspace
3_agency: General Services Administration
3_abr: GSA
4_bureau: GSA IT (IDE)
8_topic_area: Government Services (includes Benefits and Service Delivery)
10_commercial_ai: None of the above.
11_purpose_benefits: The purpose of the Gemini for Workspace pilot study is to evaluate how advanced AI capabilities can enhance productivity, collaboration, and efficiency within the General Services Administration (GSA). Over a 90-day period, 200 users will interact with Gemini to assess its functionality and impact on daily operations. The system offers intelligent assistance for tasks like drafting documents and composing emails, enhances communication through smart scheduling and automated meeting summaries, provides data analysis and insights from large datasets, and automates routine administrative tasks to reduce manual workloads. All features available with Gemini Enterprise feature set will be made available within the test profile instance for pilot users. These features aim to help users accomplish productivity tasks more quickly and accurately, and purport to increase productivity across the agency. Enhanced communication tools are designed to facilitate better teamwork and coordination among staff, while access to advanced analytics could support data-driven decision-making. By automating routine tasks, employees can focus on higher-value activities, contributing further to operational efficiency and innovation. Access to the latest Gemini models can also support code development and debugging practices previously identified in earlier studies. The pilot will help GSA understand user engagement with AI tools and assess the practical benefits of integrating Gemini into the Google workspace. Users will only be permitted to use the features for non-sensitive use cases that involve public information and datasets. 
12_outputs: Feedback from this study will inform future AI investments and strategies, supporting GSA's objective to modernize its technology infrastructure and enhance the agency's effectiveness in fulfilling its mission.
16_dev_stage: Acquisition and/or Development
17_impact_type: Neither
18_date_initiated: 11/1/2024
19_date_acq_dev_began: 11/1/2024
20_date_implemented: 11/1/2024
22_dev_method: Developed with contracting resources.
23_contract_piids: 47HAA022F0129
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: Yes
31_data_catalog: Yes
34_data_docs: Documentation is complete: Documentation exists regarding the maintenance, composition, quality, and intended use of the training and evaluation data, as well as any statistical bias across model features and protected groups. 
37_custom_code: No
38_code_access: No – agency does not have access to source code.
40_has_ato: No
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.