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Trevor Darrell

Trevor Darrell

Professor of Computer Science, UC Berkeley; Co-Director of BAIR; Faculty Director of PATH

Organization
UC Berkeley

Position
Professor of Computer Science, UC Berkeley; Co-Director of BAIR; Faculty Director of PATH

πŸ‡ΊπŸ‡ΈAmerican
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Intelligence Briefing

Leading expert in deep learning for computer vision. Co-Director of the Berkeley AI Research (BAIR) lab and Faculty Director of PATH. His group developed the Caffe deep learning library, one of the foundational frameworks for deep learning research. Leads Berkeley DeepDrive (BDD) Industrial Consortia. In 2024, received three Test of Time awards from ICML, a CVPR Longuet-Higgins Prize, and an ACM SIGMM award. Previously on faculty at MIT (1999-2008).

Expertise
Computer VisionDeep LearningAutonomous VehiclesExplainable AI
Education

BSE, Computer Science β€” University of Pennsylvania

SM, Media Arts & Sciences β€” Massachusetts Institute of Technology

PhD, Media Arts & Sciences β€” Massachusetts Institute of Technology

AGI Position Assessment

Risk Level
LOW
MODERATE
HIGH
CRITICAL
Predicted AGI Timeline

Unknown

Advocates for explainable and interpretable AI systems. Focuses on trustworthy computer vision.

Safety Approach

Advocates for explainable and interpretable AI systems. Focuses on trustworthy computer vision.

Source Material

Dossier last updated: 2026-03-10