2_use_case_name: Sidekick Comms bot Offering User-friendly Tips (SCOUT)
3_agency: Department of Health and Human Services
3_abr: HHS
4_bureau: CDC
8_topic_area: Mission-Enabling (internal agency support)
10_commercial_ai: None of the above.
11_purpose_benefits: The AI will impact the content creation processes for CDC.GOV and reduce burden in creating new webpages. CDC sometimes uses GenAI (generative artificial intelligence) to help create content for the public. This may include content for the web, social media, fact sheets, and graphics. In every case, our experts review our communication materials in an effort to ensure accuracy and quality before use. CDC public health research, data, and recommendations are based on the best science currently available and go through a separate agency review process prior to release.

The solution aims to reduce the workload of health communicators by simplifying the process of creating new web pages and social media posts. By leveraging Generative AI technology, we can produce new content much more quickly than if communications staff were to do it on their own. The goal is to make the published content more accessible and understandable for the general public, ensuring that CDC information reaches a wider audience. It's important to note that all content generated by the AI is carefully reviewed and edited by a human before it is used and the follow disclaimer is stated with public content that this tool has been used with: "CDC sometimes uses GenAI (generative artificial intelligence) to help create content for the public. This may include content for the web, social media, fact sheets, and graphics. In every case, our experts review our communication materials in an effort to ensure accuracy and quality before use. CDC public health research, data, and recommendations are based on the best science currently available and go through a separate agency review process prior to release."
12_outputs: CDC's National Center for Chronic Disease Prevention and Health Promotion use of Generative AI in this use case is to help convert existing web content into plain and clear language. This solution uses Gen AI to create new versions of publicly available content that are easier for end-users to understand. By incorporating prompts, the tool makes the content more suitable for a general lay audience. In addition to web articles, the Generative AI tool also allows for the creation of social media posts. The goal of this project is to make information more accessible by providing plain language content on various platforms. CDC sometimes uses GenAI (generative artificial intelligence) to help create content for the public. This may include content for the web, social media, fact sheets, and graphics. In every case, our experts review our communication materials in an effort to ensure accuracy and quality before use. CDC public health research, data, and recommendations are based on the best science currently available and go through a separate agency review process prior to release.
16_dev_stage: Acquisition and/or Development
17_impact_type: Neither
18_date_initiated: 12/1/2024
19_date_acq_dev_began: 1/1/2024
20_date_implemented:  
21_date_retired:  
22_dev_method: Developed with contracting resources.
23_contract_piids: NCCDPHP OD IAA
24_hisp_support:  
25_hisp_name:  
26_public_service:  
27_public_info:  
28_iqa_compliance:  
29_contains_pii:  
30_saop_review:  
31_data_catalog: Yes
34_data_docs: Documentation is complete
37_custom_code:  
38_code_access:  
39_code_link:  
40_has_ato: Yes
41_system_name: Enterprise Data Analytics and Visualization (EDAV) Platform
42_dev_tools_wait: Less than 6 months
43_infra_provisioned: Yes
45_compute_request: Yes
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.