
studies how AI affects people, both individually and collectively. We measure Claude’s effect on how people think, work, and relate to one another, and use what we learn to improve our models and products.

- Anthropic Insights dataset
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Measuring real-world impact
How does AI affect people’s wellbeing, reasoning, and relationships? Our researchers study how people interact with Claude at scale, and interview them directly about their experience. We publish what we learn, and work to support outside researchers studying these questions.
Improving our models and products
Our research identifies ways Claude can serve people better. We act on what we learn by integrating these findings into changes to Claude’s behavior, new evaluations, and product improvements.
What 81,000 people want from AI
We invited Claude.ai users to share how they use AI, what they dream it could make possible, and what they fear it might do. Nearly 81,000 people participated—the largest and most multilingual qualitative study of its kind. Here's what we found.
Read moreEnabling independent research on how people use Claude
We ran a pilot giving external researchers access to aggregate, real-world Claude usage data. In this post, we share high-level results and what we learned running this pilot.
Read moreMeasuring AI agent autonomy in practice
We analyzed millions of human-agent interactions across both Claude Code and our public API using our privacy-preserving tool, to ask: How much autonomy do people grant agents? How does that change as people gain experience? Which domains are agents operating in? And are the actions taken by agents risky?
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ARTICLES

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Studies how AI affects people, both individually and collectively.
Alignment
48 posts
Works to understand the risks of AI models and develop ways to ensure future ones remain helpful, honest, and harmless.
Economics
25 posts
Studies and monitors the impact of AI systems on individuals, firms, and economies.
Engineering
27 posts
Builds the infrastructure and systems that make Claude reliable and trustworthy.
Frontier Red Team
34 posts
Stress-tests AI systems to understand the full extent of their current capabilities and anticipate what comes next.
Interpretability
35 posts
Studies how large language models work internally as a foundation for AI safety.
Science
18 posts
Explores how AI can increase the pace of scientific progress through both research and collaborations.
Societal Impacts
24 posts
Studies how AI affects people, both individually and collectively.

























