Ethan Perez
AI Safety Researcher
Organization
Anthropic
Position
Research Scientist
Intelligence Briefing
Ethan Perez is a prominent researcher in the field of AI safety, focusing on alignment and red-teaming methodologies.
With a background in both safety and alignment, Ethan Perez has contributed significantly to the discourse on AI safety at Anthropic. He holds a BS from Rice University and a PhD from New York University, where he honed his expertise in AI alignment strategies and safety protocols.
BS, — Rice University
PhD, — New York University
Operational History
Red-Teaming Initiatives
Led several red-teaming initiatives to assess AI systems for safety vulnerabilities.
researchPublished on AI Alignment
Published a paper discussing the challenges and methodologies in AI alignment.
researchJoined Anthropic
Ethan Perez joined Anthropic as a research scientist focusing on AI safety and alignment.
careerAGI Position Assessment
Unknown
Ethan advocates for rigorous safety measures in AI development, emphasizing the importance of alignment with human values.
Ethan advocates for rigorous safety measures in AI development, emphasizing the importance of alignment with human values.
Intercepted Communications
“AI safety is not just a technical challenge; it's a moral imperative.”
“Alignment is key to ensuring that AI systems act in accordance with human values.”
“Red-teaming helps us uncover potential risks before they become real-world issues.”
“We must prioritize safety in AI development to prevent unintended consequences.”
“Collaboration across disciplines is essential for effective AI safety research.”
Research Output
Red-Teaming AI Systems
2023Proceedings of the AI Safety Conference
Discusses methodologies for effectively red-teaming AI systems.
Challenges in AI Alignment
2022Journal of AI Research
This paper outlines the key challenges faced in aligning AI systems with human values.
Field Intelligence
The Future of AI Safety
Aligning AI with Human Values
Known Associates
Organizational Affiliations
Current
Anthropic
AI Safety Researcher
2021-Present
Dossier last updated: 2026-03-04