How can Artificial Intelligence (AI) and Machine Learning (ML) help us to enrich and research cultural heritage collections? How can ML models be adapted to the complexities of historical and cultural material it has not been trained for? Which biases can we reveal in historical collections? How can we gain new perspectives by using AI in researching cultural heritage data? Our new webinar series will discuss these questions with you and present projects and people who are reflecting on exactly these matters.
On Friday 21 May we will present Qurator.ai – Curation Technologies, a project funded by the German Federal Ministry of Education and Research. This project is developing an innovative technology platform that supports knowledge workers in various industries to address the challenges they face when curating digital content. In this session, Georg Rehm, DFKI, will introduce Qurator, and we will explore three use cases for AI in cultural heritage curation, including Semantic Storytelling (Stefan Grill, 3pc/Xinnovations); Image Garden (Joachim Quantz, ART+COM); and Qurator in the Library (Clemens Neudecker, Berlin State Library). A panel discussion on AI and digital transformation will conclude the session.