Anthropic: Clio – Privacy-Preserving Insights into Real-World AI Use
Clio is a privacy-preserving AI system that analyzes aggregated conversation data to uncover usage patterns and cultural differences while enhancing AI safety and misuse detection, all without compromising individual privacy.
Anthropic: Clio – Privacy-Preserving Insights into Real-World AI Use
Summary of Read Full Report (PDF)
The paper introduces Clio, a privacy-preserving system using AI to analyze aggregated data from millions of AI assistant conversations. Clio identifies usage patterns, revealing common tasks and cross-cultural differences, without human review of individual conversations.
The system also enhances AI safety by detecting coordinated misuse and improving safety classifiers. The authors discuss Clio's limitations and ethical considerations, emphasizing its potential for pro-social applications and the importance of empirical transparency in AI governance.
They validate Clio's accuracy and privacy through extensive evaluations using both synthetic and real-world data.
Related Articles
Gemini 3.1 Pro and the Case for Model-Agnostic Agentic Infrastructure
Google's Gemini 3.1 Pro doubled its reasoning benchmarks overnight. Here's why that makes model-agnostic agentic infrastructure more critical than ever.
Google Gemini 3.1 Pro, ChatGPT Ads, and Why Organizations Need to Own Their AI Infrastructure
Google launches Gemini 3.1 Pro with advanced reasoning while OpenAI rolls out ads in ChatGPT. These two moves reveal a growing tension in enterprise AI: who controls the intelligence layer, and whose interests does it serve?
ChatGPT Now Has Ads — And It Should Change How You Think About AI Infrastructure
OpenAI has started showing ads inside ChatGPT responses. This marks a turning point: organizations relying on consumer AI tools are now subject to someone else's monetization strategy. Here's why owning your AI infrastructure matters more than ever.
Gemini 3.1 Pro Just Dropped — Here's What It Means for Organizations Running Their Own AI
Google's Gemini 3.1 Pro launched today with 1M-token context, native multimodal reasoning, and agentic tool use. Here's why model releases like this one matter most to organizations that own their AI infrastructure — and why locking into a single provider is the costliest mistake you can make.
See the ibl.ai AI Operating System in Action
Discover how leading universities and organizations are transforming education with the ibl.ai AI Operating System. Explore real-world implementations from Harvard, MIT, Stanford, and users from 400+ institutions worldwide.
View Case StudiesGet Started with ibl.ai
Choose the plan that fits your needs and start transforming your educational experience today.