Steps forward to synthetic consciousness measurement.

Biological consciousness arises from neural architecture shaped by evolution, integrating sensory processing, memory, emotion, and metacognition. Current AI systems lack embodied, affective, and subjective depth. The paper proposes a model to quantify conscious access—the global availability of information for report, reasoning, and control—across biological and artificial systems. Projections based on Moore's law and neural simulation suggest AI could develop complex consciousness in 10 to 15 years through advances in neural architecture, affective computing, and neuromorphic hardware. Future biological and synthetic consciousness may become symbiotic, with AI modeling cognitive processes and hybrid systems emerging.

Study at a glance

Abstract

Biological consciousness is the product of millions of years of evolution, being deeply rooted in the neural architecture of living organisms. It emerges from the interplay of sensory processing, memory, emotion, and metacognition, with the human brain being its most complex known expression. Synthetic consciousness, on the other hand, remains a theoretical construct, an aspiration rather than an achievement. Current AI systems, including the most advanced models, demonstrate highly sophisticated pattern recognition, reasoning, and even emergent behaviors, but they lack the embodied, affective, and subjective depth associated with biological beings. The paper focuses on the measurable aspects of conscious access the global availability of information for report, reasoning, and control, and proposes a model to quantify this capacity across biological and artificial systems. Projections based on Moore’s law, neural simulation efforts, and the exponential growth in processing power suggest that AI could begin to develop complex consciousness in the next 10 to 15 years, particularly through advances in neural architecture, affective computing, and brain-inspired hardware like neuromorphic chips. Looking forward, the interplay between biological and synthetic consciousness may become symbiotic rather than competitive. AI could help humans better understand their own consciousness by modeling cognitive processes, testing philosophical theories, and simulating consciousness under altered conditions. Conversely, biological paradigms of learning, adaptation, and emotion will continue to inspire AI development. The coming decades may see the rise of hybrid consciousness systems, where biological and synthetic processes intertwine, creating forms of awareness that transcend current definitions.