AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics

Riccio, Piera; Bergaust, K.; Christensen-Scheel, B.; De Martin, J. C.; Zuluaga, M. A.; Nichele, S.

doi:https://doi.org/10.48550/arXiv.2202.03246

AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics

Authors: Riccio, P. , Bergaust, K., Christensen-Scheel, B., De Martin, J. C., Zuluaga, M. A., Nichele, S.

External link: https://www.pomconference.org/pom-berlin-2021-overview/
Publication: Politics of the Machines , 2021
DOI: https://doi.org/10.48550/arXiv.2202.03246
PDF: Click here for the PDF paper

While Artificial Intelligence (AI) technologies are being progressively developed, artists and researchers are investigating their role in artistic practices. In this work, we present an AI-based Brain-Computer Interface (BCI) in which humans and machines interact to express feelings artistically. This system and its production of images give opportunities to reflect on the complexities and range of human emotions and their expressions. In this discussion, we seek to understand the dynamics of this interaction to reach better co-existence in fairness, inclusion, and aesthetics.