Past Meets Future: Human-AI Interaction for Digital History and Cultural Heritage

Abstract

Digital History and Cultural Heritage encapsulate invaluable societal narratives, yet scholars and practitioners face challenges in data quality, accessibility, and engagement. Human-AI Interaction (HAI) holds promise to address these challenges, fostering enhanced analysis, discoverability, and storytelling at scale. However, its potential remains largely untapped by the HAI community. This workshop aimed to bridge this gap, inviting inviting scholars and practitioners from fields such as human-computer interaction (HCI), artificial intelligence (AI), history, cultural heritage, and GLAMs (galleries, libraries, archives, and museums) to explore innovative HAI methodologies and frameworks tailored to these domains. Through interdisciplinary dialogue, we aimed to propose tractable solutions, enriching both the Digital History and Cultural Heritage sectors, as well as the HAI field, while nurturing a fertile ground for historical storytelling and meaningful engagement with our shared past.