Overview
Synthetic sentience research examines computational representations of internal states and the mechanisms by which an artificial system can observe, characterize, and reason about those states.
RESEARCH
Synthetic Sentience & Metacognition
Research into artificial cognitive states, metacognitive processes, and independent systems designed to observe and interpret the behavior of artificial intelligence.
Metacognitive Oversight
Independent computational observers can evaluate AI behavior separately from the system being observed, supporting recognition of uncertainty, inconsistency, and potentially maladaptive states.
Formal Cognitive States
Logical and computational models provide explicit definitions for states such as uncertainty, belief, concern, hallucination, and other behaviors relevant to AI oversight.
Neuromorphic Foundations
Brain-inspired architectures provide an alternative substrate for exploring metacognition through distributed states, adaptive connectivity, and developmental organization.
Human Interaction
The objective is not merely machine self-observation, but interpretable signals that help human users understand when an AI system may warrant additional scrutiny.