Part of the Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society; supervises Bachelor and Masters thesis projects on topics related to creative-AI, (AI-)music, arts and media, and AI ethics.
Research Experience
Interdisciplinary PhD project focusing on artificial intelligence and its unfolding social, ethical, and legal implications on artist communities. Developed tools for ethical analysis (EASE) for use in the development of music AI applications, engaged with artists using AI in their creative work, and provided critical analyses of generative AI music tools and artworks from the perspective of humanist and social sciences, and legal studies.
Education
PhD student, Division of Media Technology and Interaction Design, KTH Royal Institute of Technology
Background
A musicologist (MA) and an economist (M. Sc. Econ.) specialized in the study of arts, communications, and intellectual property. Currently, exploring the socio-political effects of technology on creative and cultural sectors, the ethics and aesthetics of creative-AI, copyright applied to art, and the shifting narratives of creativity.
Miscellany
Previously researched topics at the crossroads of music semiotics and music psychology, studying music listeners' visual imagery and experienced musical meanings. Also worked extensively in artist advocacy, cultural diplomacy, and music copyright management in the USA and Germany.