Clio helps us understand the risks associated with AI models by revealing how they are being used in various applications, including scientific research and cybersecurity.

We are excited to explore how Clio can help us understand the subjective use cases of AI and ensure models represent diverse viewpoints.

Clio enables us to evaluate the relevance of our models in real-world scenarios, ensuring they provide accurate and unbiased information.

Clio will help us assess the economic impacts of AI technology and its role in augmenting or replacing tasks in various fields.

Clio allows us to analyze real-world usage of our models, helping us design more thoughtful evaluations that match real-world use cases.

Clio allows us to analyze refusal rates for specific queries, helping us identify over-refusals and under-refusals in AI responses.

Clio has already provided insights into user interactions with Claude, informing our evaluations and product safety considerations.

During the development of Clio, we recognized the importance of understanding how users interact with AI during elections, including both factual and subjective inquiries.

Clio stands for Claude insights and observations, and it's a tool that helps us understand the different use cases for which people are using Claude, showing high-level aggregate clusters of usage.