In working towards a more inclusive and diverse society, an integral task for heritage museums is to understand the social biases and prejudices contained in their collections. Titles, descriptions and classifications, often historical artefacts themselves and sole sources of information, shape the way material culture is researched and narrated to the public.
With a collection of over 800K objects, this is especially daunting for the Dutch National Museum of World Cultures and one that can greatly benefit from the aid of computational methods giving access to new, otherwise hidden perspectives. But there are risks: defining biases to machines could entrench them even further. The SociAl BIas Observatory (SABIO) project is an attempt to address this dilemma by exposing patterns in the collection via transparent algorithms and intuitive visualisations. This allows users to explore biases on their own terms, with their own definitions and perspectives.
In this session, you will hear the lessons learnt and have an opportunity to discuss some of the challenges and opportunities that lie in reconciling critical societal research and AI.
30-09-2022 13:15 - 14:15
Hosted by: Marieke van ErpMessages will be visible for table members and will NOT be shared on Facebook.