ChatCBP
Description
Workforce enablement and efficiency.
Detailed example
Generative LLM that will allow users to upload, search, delete, summarize documents, conduct advanced searches, and identify similar language in documents and receive natural language-style outputs in response to their prompts.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Improving Operational Efficiency: Automating information retrieval, reducing manual review time, and streamlining workflows will lead to significant time savings and increased productivity for CBP personnel. This translates to cost savings and allows agents to focus on higher-priority tasks. _x000D_ _x000D_ Enhancing Decision-Making: Providing quick and accurate access to relevant information will improve the quality and consistency of decisions across the agency. _x000D_ _x000D_ Increasing Mission Effectiveness: By applying LLM capabilities to critical use cases like hot list review and violation coding, we can enhance accuracy, reduce errors, and improve overall mission success rates.
Controls / human review
ATO: No; PIA: Not published
Data needed
Internal CBP document samples are used to test the efficacy and accuracy of performance of chatCBP.