Artificial intelligence at the bedside of printed collections: a monitoring tool for conservation and restoration. Interview with Valérie Lee and Camille Simon Chane • Monitoring collections, preparing collection assessment, sorting bindings in need of restoration: what if these fundamental tasks of conservation and restoration work could benefit from the technological progress of artificial intelligence? What if neural networks, trained on adapted materials, could help library professionals by detecting deterioration without having to plan tedious preparatory operations? Specialists in artificial intelligence and heritage restorers from the ETIS laboratory (Équipes Traitement de l’Information et Systèmes – Information Processing and Systems Teams) at CY Cergy Paris University have combined their expertise in a research project led by Valérie Lee, as part of her doctoral thesis.