AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics
Piera Riccio, Kristin Bergaust, Boel Christensen-Scheel, Juan-Carlos, De Martin, Maria A. Zuluaga, Stefano Nichele

TL;DR
This paper discusses an AI-driven brain-computer interface that enables artistic expression of human emotions through EEG signals, emphasizing fairness, inclusion, and aesthetic considerations in human-AI emotional interactions.
Contribution
It introduces an AI-based BCI system for artistic emotion expression and explores its implications for fairness, inclusion, and aesthetics in human-AI interactions.
Findings
Highlights the potential for AI to facilitate artistic emotional expression.
Raises important considerations for fairness and inclusion in AI art.
Encourages reflection on aesthetic aspects of AI-generated art.
Abstract
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.
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Neural dynamics and brain function · Advanced Memory and Neural Computing
