Dario Amodei: AI Expert
AI leader Dario Amodei helps organizations understand responsible artificial intelligence, frontier AI research, and the future of safe, aligned machine intelligence.
Quick Facts:
- CEO and co-founder of Anthropic, a public benefit corporation focused on safe, steerable AI
- Former Vice President of Research at OpenAI
- Led development of GPT-2 and GPT-3
- Co-inventor of reinforcement learning from human feedback
- Formats:
- AI leader, founder, and keynote speaker
- Audiences:
- Technology leaders, policymakers, researchers, and organizations preparing for frontier-model integration and responsible AI deployment.
- Outcomes:
- Clear understanding of frontier-model capabilities, risks, and governance needs.
- Practical insights into alignment techniques such as steerability and human-feedback training.
- Actionable guidance on implementing safe, controllable AI systems within complex institutions.
- Travels from: San Francisco, CA
- **US Fee range: On Request
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Talent Short Bio
Dario Amodei is the CEO and co-founder of Anthropic, a public benefit corporation focused on developing AI systems that are steerable, interpretable, and reliably aligned with human intentions. A leading figure in frontier AI research, he has shaped many of the scientific and engineering advances that underpin today’s most powerful language models and safety methodologies.
Before founding Anthropic, Amodei served as Vice President of Research at OpenAI, where he led teams responsible for creating GPT-2 and GPT-3 and co-invented reinforcement learning from human feedback, a technique that has become foundational to aligning large-scale AI systems with human preferences. His earlier work at Google Brain further established his reputation as a researcher capable of pushing state-of-the-art model capabilities while advancing practical safety techniques.
Amodei holds a doctorate in biophysics from Princeton University, where he studied as a Hertz Fellow, followed by a postdoctoral appointment at the Stanford University School of Medicine. His background in rigorous scientific research informs his evidence-driven approach to AI development, emphasizing transparency, controllability, and long-term safety. Across industry and policy forums, he is widely recognized as a central voice in defining how highly capable AI systems can be built and deployed responsibly.
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Fee Range Information
All talent fees exclude travel and accommodation where required.