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Restoring and attributing ancient texts using deep neural networks.

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  • 1DeepMind, London, UK. yannisassael@google.com.

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|March 10, 2022
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This summary is machine-generated.

A new AI tool, Ithaca, aids historians by restoring damaged ancient Greek inscriptions and improving accuracy in dating and location. This collaboration enhances historical research and understanding of past civilizations.

Area of Science:

  • Digital Humanities
  • Artificial Intelligence in History
  • Computational Epigraphy

Background:

  • Epigraphy, the study of inscriptions, is crucial for understanding ancient civilizations.
  • Inscriptions often suffer damage, displacement, and uncertain dating, hindering historical analysis.

Observation:

  • Ancient inscriptions present challenges in textual restoration, geographical attribution, and chronological dating.
  • Historians' accuracy in analyzing inscriptions can be significantly improved with AI assistance.

Findings:

  • Ithaca, a deep neural network, restores ancient Greek inscriptions with 62% accuracy.
  • Historian accuracy improved from 25% to 72% when using Ithaca for textual restoration.
  • Ithaca achieves 71% accuracy in geographical attribution and dates inscriptions within 30 years of accuracy.

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Implications:

  • Ithaca demonstrates the synergistic potential of AI and historians, transforming ancient history research.
  • The tool aids in redating key Classical Athenian texts, impacting ongoing historical debates.
  • AI-powered epigraphy offers new avenues for studying and writing about ancient history.