Focuses on algorithms for human-AI and human-robot interaction, including reward learning and coordination.
Director, AI Safety and Alignment / Google DeepMind / Associate Professor / UC Berkeley EECS
Anca Dragan is a prominent figure in AI and robotics, currently serving as the Director of AI Safety and Alignment at Google DeepMind while on leave from her role as an Associate Professor at UC Berkeley's EECS Department. Her research, conducted through the InterACT Lab, focuses on algorithms for human-AI and human-robot interaction, particularly on AI alignment to ensure agents act in accordance with human goals and values. She is recognized for her work in reward engineering and enabling AI agents to work collaboratively with people.
Director, AI Safety and Alignment
Associate Professor
Assistant Professor
Staff Research Scientist (Consultant)
PhD
BS
Focuses on algorithms for human-AI and human-robot interaction, including reward learning and coordination.
Leads teams responsible for the safety and alignment of Gemini models, addressing present-day harms and catastrophic risks.
Co-PI of the Center for Human-Compatible AI, dedicated to ensuring AI systems align with human goals.
Consulted for Waymo for six years on the roadmap for deploying increasingly learning-based safety-critical systems.
Anca Dragan's research centers on enabling AI agents, from robots to LLMs, to interact effectively and safely with people, with a strong focus on AI alignment and human-robot interaction.
Machine Learning
Robotics
Human Computer Interaction
Artificial Intelligence