Artificial Intelligence and Greek Philology: An Experiment (New Publication)

We are excited to announce the publication of an edited volume, Artificial Intelligence and Greek Philology: An Experiment. This volume presents the results of a collaboration between researchers at the Scuola Normale Superiore and Princeton University, which began with a workshop at Palazzo della Carovana in June 2023. It introduces readers to Logion, the first deep neural network designed to support philologists in editing Greek texts that have reached us via manuscript transmission. The model offers suggestions for how to fill lacunae; it also helps identify and emend portions of text that seem to have been corrupted in the process of textual transmission. The different chapters explore the theory and historical practice of philology, present the AI model we designed, and make use of Logion in elucidating passages of premodern Greek. The focus is on the vast corpus of the Byzantine polymath Michael Psellos, which represents an excellent case study, from both a philological and technical perspective. Overall, the aim of this volume is both practical and intellectual. It seeks to encourage a broader dialogue between artificial intelligence and Greek philology and to present an actual model for the use of machine learning in elucidating premodern texts.

The volume is available open-access.

Contents:

Introduction (Luigi Battezzato, Barbara Graziosi, and Johannes Haubold)

Part I: Artificial Intelligence and Greek Philology

1. Virtuous (and Vicious) Circles in Machine-Human Collaboration: The Case of Greek Philology (Barbara Graziosi)

2. The End of Philology? Human and Artificial Intelligence (Luigi Battezzato)

3. What is Artificial Intelligence Good For? A Philological Perspective (Johannes Haubold)

Part II: An Experiment in Artificial Intelligence and Greek Philology

4. How Does Logion Work? An Introduction for Philologists (Creston Brooks and Charlie Cowen-Breen)

5. How to Work with a Logion Report (Yuecheng Li and Johannes Haubold)

6. The Potential and Limit of Logion Reports (Jakob Barnes and Maria Giovanna Sandri)

7. Machines, Scribes, and Scholars: Comparing Human and Artificial Emendation (Olivia May and Leyla Ozbek)

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Machine Learning and the Text of Aristotle (New Publication)