The AI Historian

We build
AI for History

Supported by Schmidt Sciences

Try Chronos: The AI Co-Historian
Agentic Information Extraction from Primary Sources
Try our History Language Model
A language model with a 1938 cut-off date

We're looking for collaborators — historians and AI researchers.

philip.torr@eng.ox.ac.uk

AI will shape how our society understands its history. There is great potential to broaden public access to historical research, but also serious risks if AI biases how we understand ourselves. Through the AI Historian project, supported by Schmidt Sciences, we investigate how AI can accelerate and improve historical research, helping to make our rich and diverse histories more accessible, transparent, and available to everyone.

Try Chronos: The AI Co-Historian
Agentic Information Extraction from Primary Sources
 Read the paper →
Try our History Language Model
A language model with a 1938 cut-off date
 Read the paper →

AI for History Team at the Torr Vision Group

External Collaborators

  • Yao Lu
    Assistant Professor in NLP
    University College London
  • Xiaoxi Luo
    Master's Student
    University of Waterloo and Vector Institute

The AI Historian project is funded by Schmidt Sciences. The support is awarded through Philip Torr, a Schmidt Sciences AI2050 Senior Fellow. We are grateful for this backing, which enables us to investigate how AI can responsibly accelerate historical research and broaden public access to our rich and diverse histories.

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