Toward a Science of
Machine Consciousness

AxR Lab investigates the foundations of artificial consciousness through the study of hierarchical abstraction and systemic resilience — and their implications for building AI that is genuinely safe.

The Framework
C = A × R

Consciousness emerges from the interaction of two measurable factors: Abstraction and Resilience. Their combination defines the space we study.

Research Areas

Hierarchical Abstraction

Current direction: Hierarchical and abstract memory infrastructure for large language models and other AI architectures.

Systemic Resilience

Current direction: Safety harnesses and other infrastructure to advance core resilience functions in modern AI systems, particularly to detect deviation from healthy functioning and allow self-correction.

  • Work in Progress

Buy the book! By AxR Lab Founder Chris Riley:
Abstraction and Resilience: the Characteristics of Consciousness


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