Emmanuel Ameisen
Interpretability researcher | Understanding how large language models work internally
About
Emmanuel Ameisen is an interpretability researcher at Anthropic, where he focuses on understanding how large language models work internally. His research aims to open the black box of AI systems, making their decision-making processes more transparent and comprehensible.
At Anthropic, Emmanuel works on developing methods and tools to analyze the inner workings of large language models. This research is crucial for building safer, more reliable AI systems that organizations and society can trust.
By understanding how these models process information and arrive at outputs, his work contributes to making AI systems more aligned with human values and easier to debug and improve. Emmanuel has spoken at The AI Conference 2026, sharing insights from his research on interpretability and the technical challenges of understanding increasingly complex AI systems.
What Emmanuel Talks About
Understanding how large language models work internally
Interpretability research methods for AI systems
Making AI decision-making processes transparent and comprehensible
Building safer and more reliable large language models
Technical approaches to analyzing neural networks
Talks1
Emmanuel Ameisen at The AI Conference 2026
At a Glance
Is this you?
Claim this profile to edit your bio, add talks, and get verified.
Know a talk we're missing?
Get in Touch
Save for Later
Frequently Appeared With
Speakers who have appeared at the same events
Similar Speakers
Related by topic and shared stages
Explore related directories
Conferences, directories, and industries connected to Emmanuel Ameisen