Philosophers, AI researchers, and consciousness scientists interested in machine sentience and phenomenology.
Exploring the conditions for and implications of sentience in artificial systems through an Active Inference lens.
Lead: Cleber Gomes
Artificial Sentience is an Ecosystem project examining the theoretical conditions for sentience in artificial systems. Drawing on Active Inference, it explores what it would mean for a machine to be sentient, using the free energy principle as a framework for understanding experience and self-organization.
The project develops theoretical accounts of sentience using Active Inference — examining whether and how the formal properties of active inference systems relate to phenomenal experience. It connects philosophy of mind, computational neuroscience, and AI research.
Philosophers, neuroscientists, and AI researchers interested in consciousness and Active Inference are welcome.
Related resources
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Primary public community channel for conversation, coordination, and newcomer orientation.
Audience: Researcher
Public ecosystem shortlink for Institute context, projects, activities, and conceptual maps.