The rapidly advancing field of generative Artificial Intelligence is opening new frontiers for research in the Humanities, including the study of the ancient world. In recent years, Large Language Models (LLMs) have achieved high performance across a wide range of natural language tasks, enabling complex engagement with texts and facilitating analysis of large archival collections. Some models now have multimodal capabilities, allowing them to process images and embedded text, including the decipherment of handwriting, expanding opportunities for research on historical documents. At the same time, these powerful tools present challenges, such as lack of transparency and the generation of plausible but inaccurate outputs. This event brings together scholars and students of AI, Digital Humanities, and the study of antiquity, to explore both the challenges and the new research opportunities offered by generative AI. The program will include a practical workshop and Q+A session with AI expert David Smith.