Abstract This paper introduces Symbiotic Artificial Intelligence (SAI), a structural framework designed to align artificial intelligence development with human cognition, environmental sustainability, and long-term system resilience. Rather than treating intelligence as an extractive or efficiency-only tool, SAI proposes a symbiotic model in which humans, AI systems, and the Earth itself are treated as interdependent participants. The framework outlines governance mechanisms, economic and environmental constraints, and cognitive protections that prevent intelligence from decoupling power from responsibility. It further positions SAI as a prerequisite layer for the safe progression toward advanced AI systems, including AGI, without systemic collapse. This work is published as an independent, interdisciplinary contribution intended to inform researchers, technologists, policymakers, and builders concerned with the sustainability and stewardship of intelligence systems.
Kristen Paige Fillingame (Fri,) studied this question.
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