Creative AI
Supports human creativity
Programme Summary
Creative AI is aimed at developing systems that can support, augment or even automate creative process. Such AI can be used to generate new music, literature or other forms of art, with or even without human involvement. It has many applications such as art restoration or generation of new and liberating forms of human expression. This type of AI is highly challenging and requires close collaboration between fields that have been traditionally quite distant from each other: AI and arts and humanities.
Featured
Centre for Science and Music
The Centre for Music and Science (CMS) provides a home for research linking the field of music with psychology, acoustics, computer science, with the chief specialism of the centre being music cognition.
Centre Director: Peter Harrison
Machine Visual Culture Group
The Machine Visual Culture research group investigates the reciprocal relationship between artificial intelligence and visual culture, focusing on how AI (Artificial Intelligence) systems both shape and are shaped by histories of seeing. Combining digital art history with critical AI studies, the group explores AI not only as a technological tool but also as a cultural phenomenon with important implications for the humanities.
Group Leader: Leonardo Impett
Mathematics for Applications in Cultural Heritage (MACH)
The MACH group explore multiple imaging applications to Cultural Heritage conservation challenges. They have developed a new multi-modal non-invasive mid-infrared technique for detecting sub-superficial defects in fresco walls; and digitally fure multi-modal data via osmosis filter, unveiling hidden features of artworks and proposed a semi-supervised workflow for the detection and inpainting of defects in damaged illuminated manuscripts form the Fitzwilliam Museum’s collection in Cambridge. The project forms part of the Cambridge Image Analysis group.
Group Lead: Carola-Bibiane Schönlieb
