EABH: AI & Archives — Budapest, Hungary

This meeting aims to explore case studies and experiments using AI in archives or other memory and heritage institutions. For example, using AI, machine learning or natural language processing for: improving digitization and text processing; data classification and descriptive metadata generation; content summarization or predictive analysis; detecting anomalies in large collections of structured and unstructured data; improving search and retrieval; scanning for data privacy or other security issues; workflow automation, particularly in preservation; and more.