Insights

Neurotech and GenAI

The intersection of Neurotech and GenAI has ramifications for understanding consciousness and augmenting human experience beyond the brain.

Through research-creation, I design interactive and social experiences with technologies to generate embodied insights, pushing both artistic conventions and scientific paradigms that ask fundamental questions about life and mind.

Computational Sensory Ethnography

Computational Sensory Ethnography, in my practice, is a methodology where speculative (co-)design drives the computational exploration and artistic rendering of sensory data gathered ethnographically. This allows me to produce and communicate knowledge about consciousness, life, and technology in ways that challenge conventional artistic expression and open up new, innovative paradigms for research implicating human subjects.

Fallible Expectations & Technology

Expectations are fallible. Even when you are prepared and disillusioned by the fact that technology often never works as expected, expectations are still inaccurate. They still fall short of fitting with given circumstances.

It is a good thing too, because sometimes it means we can be pleasantly surprised. This bears resonance with my mindfulness practice. I realized some years ago that it's contrary to the intent, ineffective, unnecessary, or even harmful to use this consciousness-altering practice as a means to an end, as a way to fulfill a goal. The practice is the goal in itself.

Furthermore, asking technology to comply is inherently a colonial attitude, as it imposes expectations and demands on a system that is highly unpredictable itself.

Contemplative Research-Creation

Contemplative research-creation might be understood as an approach that weaves together a mindful, caring inquiry into lived experience with artistic experimentation, often leveraging the potential of emerging technologies.

This process allows me to produce artistic expressions (interactive media, biofeedback systems, etc.) that are themselves situated forms of knowledge, while simultaneously opening up perspectives on futures of Neuro-AI research and pushing the boundaries of co/creativity.