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.
The EuropeanaTech x AI webinars will kick off on Friday 23 April with an introduction to the series and the Saint George on a Bike Project, which aims to use machine learning to improve the quality and quantity of open metadata associated with European cultural heritage. Project partners will present its objectives and achievements, as well as the obstacles it faces, especially with respect to available data sources. You will learn about making Machine Learning work (better) for improving the quality and quantity of open metadata associated with European cultural heritage imagery, and have the opportunity to discuss the challenges of data gathering for AI projects in cultural heritage and how to possibly circumvent them.