2_use_case_name: ChatCDC - CDC Enterprise Generative AI Chatbot (Content Editing)
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: CDC has an internal productivity tool available to all CDC staff which can be used in a variety of ways. This use case covers staff who will be using this general purpose to assist with editing text previously written, or content editing. This may refer to using the chatbot to help refine emails or messages to other CDC staff, reviewing internal documents, reviewing scheduling or other bureaucratic information and other such information. 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. Currently, CDC has internal Generative AI guidance determining how this tool can be used, and individual Centers, institutes, or Offices may implement their own policy to ensure safe and responsible AI. This includes internal guidance on using AI for External Communications.

This tool enables CDC staff to have the productivity benefits of Generative AI powered chatbots without any of the security risks of data uploads. This tool can be used by all CDC staff to support general business operations and enables a quick review for finding any spelling or grammatical errors, fixing formatting, or other copy-editing type corrections and saves staff time will increasing the quality of communications. 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: This chatbot, powered by Azure OpenAI Large Language Models, will generate responses to questions asked by the user. In this case, responses will be recommendations on edits for content provided by the user such as a draft email. The chatbot's output can then be copied and pasted or manually entered based upon the users review. 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: Operation and Maintenance
17_impact_type: Neither
18_date_initiated: 10/1/2023
19_date_acq_dev_began: 11/1/2023
20_date_implemented: 2/1/2024
21_date_retired:  
22_dev_method: Developed with both contracting and in-house resources.
24_hisp_support:  
25_hisp_name:  
26_public_service:  
27_public_info: No
28_iqa_compliance:  
29_contains_pii: No
30_saop_review: No
31_data_catalog: No
33_agency_data: Yes. A series of pilot projects was conducted to evaluate the performance of this chatbot and these pilot projects are included within this inventory.
34_data_docs: Documentation is widely available
37_custom_code: Yes
38_code_access: Yes – agency has access to source code, but it is not public.
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: Documentation has been published: Complete documentation has been published to a repository or data catalog within the agency and is made accessible to other data science teams for review and feedback.