Deep Learning in the Museum

Deep Learning in the Museum seeks to explore how machine learning can be employed to develop new ways of working with museum collections in the interconnecting domains of cultural-historical scholarship and curatorial practice. It aims to investigate the generative powers and limits of emerging artificial- intelligence technologies while, in the process, looking into critical issues at the intersection between technology and culture. In so doing, the project seeks to experiment with new historio-graphical and critical practices and to engage a robust dialogue in theory and practice within the disciplines of curatorship, history, art history, and visual culture studies.