AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics
This work addresses the challenge of human-machine interaction in art for artists and researchers, focusing on fairness, inclusion, and aesthetics, but it appears incremental as it builds on existing AI and BCI technologies.
The paper tackles the problem of creating an AI-based Brain-Computer Interface for artistic expression of emotions from EEG signals, resulting in a system that produces images to explore human emotions and their expressions.
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.