2_use_case_name: Hazard Mitigation Assistance Chatbot
3_agency: Department of Homeland Security
3_abr: DHS
4_bureau: FEMA
8_topic_area: Emergency Management
10_commercial_ai: None of the above.
11_purpose_benefits: The intended purpose is to deploy an AI-powered internal chatbot that serves as a centralized, intuitive user interface for staff across all FEMA regions and headquarters. The intended outcomes include: Improving Efficiency and Consistency by providing quick access to accurate information, the chatbot streamlines work processes, reduces redundancy, and ensures consistent procedures across regions. Accelerate Onboarding of new hires become competent more quickly, reducing the time to full productivity and strengthening the workforce. Ensure Compliance and Accountability by being Transparent and accurate guidance promotes adherence to HMA policies, reducing errors and enhancing program integrity. Enhancing Decision-Making by providing access to precise citations and real-time data improves the quality of decisions, benefiting program outcomes. Supporting FEMA's mission by empowering staff to perform effectively, the chatbot enhances overall efficiency and service delivery, aligning with FEMA's goal of improving program delivery and serving the whole community.
12_outputs: The chatbot will provide accurate, uniform answers with citations, ensuring everyone is aligned and reducing the risk of misinterpretation of publicly available HMA data sourced from FEMA.gov. 
The chatbot will provide clear, plain-language explanation, highlighting eligibility criteria, funding priorities, and application processes for each HMA program. The chatbot will quickly retrieve relevant HMA policy documents, provides precise citations, and summarizes key points. The chatbot will compile publicly available of publicly available HMA data sourced from FEMA.gov., perform the analyses, and present it in a clear report with visualizations.
16_dev_stage: Acquisition and/or Development
17_impact_type: Neither
18_date_initiated: 9/5/2024
19_date_acq_dev_began: 9/5/2024
22_dev_method: Developed with both contracting and in-house resources.
23_contract_piids: 70FA6022A00000001
24_hisp_support: No
31_data_catalog: Yes
33_agency_data: The agency-owned data included all HMA policy, training, and data available on FEMA.gov. This include OpenFEMA datasets, Legal/Policy Documents (i.e., federal legal and policy references, such as nondiscrimination clauses and presidential memorandums); Regulations (i.e., regulatory texts, including sections of the Code of Federal Regulations (CFR)); and Guides and Handbooks (i.e., FEMA-issued guides that provide frameworks and instructions, such as planning handbooks and operational guides).
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.
40_has_ato: No
42_dev_tools_wait: Less than 6 months
43_infra_provisioned: Other
43_question_type: We have identified the FEMA GenAI Sandbox as the IT infrastructure and are working with OCIO to utilize the infrastructure.
45_compute_request: Other
45_question_type: We are working with OCIO to develop a process to request the Azure computing resources to develop and test the chatbot.
47_timely_resources: Other
47_question_type: Yes, but Mission requirements and resource restraints are a factor.
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.