Hybrid Bio‐Algorithmic Intelligence: Co‐Designing AI and Nature‐Inspired Systems for Sustainable Transformation

ABSTRACT The transition toward sustainable socio‐technical systems requires more than technological innovation; it demands an integration of nature's adaptive intelligence with computational design. This paper introduces the hybrid bio‐algorithmic intelligence (HBAI) framework, which co‐designs artificial intelligence and ecological principles to create self‐adaptive, resource‐efficient and regenerative systems. Drawing from biological mechanisms such as stigmergy, mutualism and plasticity, HBAI formalises a multi‐layered architecture linking ecological sensing, algorithmic learning and adaptive governance. The framework outlines translation pathways from natural motifs to algorithmic components and governance levers, demonstrating how co‐evolutionary feedbacks can enhance resilience and reduce resource intensity. Conceptually, HBAI establishes a bridge between biomimicry and AI governance by embedding sustainability as a systemic property of intelligence rather than an external objective. Through theoretical synthesis and hypothetical application scenarios such as renewable‐energy microgrids and circular‐economy networks, it illustrates how algorithmic systems can evolve within planetary boundaries.