# A differentially private framework for gaining insights into AI chatbot use

DevFeed: [A differentially private framework for gaining insights into AI chatbot use](<https://devfeed.tech/articles/a-differentially-private-framework-for-gaining-insights-into-ai-chatbot-use-6738.md>)

Original publisher: [Read original article](<https://research.google/blog/a-differentially-private-framework-for-gaining-insights-into-ai-chatbot-use/>)

Published: 2025-12-10T21:59:41Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Google](<https://devfeed.tech/topics/google.md>), [Algorithm](<https://devfeed.tech/topics/algorithm.md>), [pii](<https://devfeed.tech/topics/pii.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [chatbots](<https://devfeed.tech/tags/chatbots.md>), [clustering](<https://devfeed.tech/tags/clustering.md>), [code](<https://devfeed.tech/tags/code.md>), [data](<https://devfeed.tech/tags/data.md>), [data-protection](<https://devfeed.tech/tags/data-protection.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [google](<https://devfeed.tech/tags/google.md>), [insights](<https://devfeed.tech/tags/insights.md>), [large-language-model](<https://devfeed.tech/tags/large-language-model.md>), [llm](<https://devfeed.tech/tags/llm.md>), [pii](<https://devfeed.tech/tags/pii.md>), [pipeline](<https://devfeed.tech/tags/pipeline.md>), [research](<https://devfeed.tech/tags/research.md>), [responsible-ai](<https://devfeed.tech/tags/responsible-ai.md>), [security-privacy-and-abuse-prevention](<https://devfeed.tech/tags/security-privacy-and-abuse-prevention.md>)

## AI overview

Google Research introduces Urania, a framework for generating high-level insights into AI chatbot usage while protecting user conversation privacy. Its pipeline combines differentially private clustering, keyword extraction, and LLM summarization to provide formal, end-to-end differential privacy guarantees.

## Source excerpt

Generative AI