The chapter focuses on the recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) applications within papyrological research. These technologies have a profound impact on the cognitive aspects involved in the papyrological workflow. Despite the notable achievements in Digital Papyrology, electronic tools and strategies applied to papyrological research have not yet replaced the human role in the most intellectual aspects. However, the increasing relevance of AI across various research domains now poses a challenge to the traditional role of “human” papyrologists. Ongoing projects are venturing into complex endeavors such as automating handwriting recognition, fragment restoration and reconstruction, recovery of carbonized papyri, filling in textual gaps, and stylometric analysis. This contribution aims to explore the theoretical and practical implications of these projects on the development of papyrological methodology, seeking to envision both the potentials and perils of this new “artificial papyrologist” in action. It will be shown how these latest developments can aid us in becoming better papyrologists without replacing our intellectual engagement with the objects of our study.
The Artificial Papyrologist at Work
Reggiani N.
2024-01-01
Abstract
The chapter focuses on the recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) applications within papyrological research. These technologies have a profound impact on the cognitive aspects involved in the papyrological workflow. Despite the notable achievements in Digital Papyrology, electronic tools and strategies applied to papyrological research have not yet replaced the human role in the most intellectual aspects. However, the increasing relevance of AI across various research domains now poses a challenge to the traditional role of “human” papyrologists. Ongoing projects are venturing into complex endeavors such as automating handwriting recognition, fragment restoration and reconstruction, recovery of carbonized papyri, filling in textual gaps, and stylometric analysis. This contribution aims to explore the theoretical and practical implications of these projects on the development of papyrological methodology, seeking to envision both the potentials and perils of this new “artificial papyrologist” in action. It will be shown how these latest developments can aid us in becoming better papyrologists without replacing our intellectual engagement with the objects of our study.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
