On holonic observers of human-AI sustainable symbiosis

Societal dynamics are increasingly driven by the encounter between humans and their artefacts,with AI (artificial intelligence) being a prominent actor in such a socio-technicalphenomenology. Nonetheless, the desirable phenomenon of sustainable symbiosis betweenhumans and AI is still hidden either from the scientific inquiry perspective, or from thenormative, due to its novelty, ineffability, and complexity.In this work, a new scientific perspective is elicited with the proposition of a methodology andrelated technology that aims to a step-change in the discovery of principle deep implicationsand dynamics shaping the human-AI complex. The proposed methodology stems from thesimultaneous apprehension of two epistemologies. The first is the usual epistemology ofhumans that uses digital realities as epistemic ground. The second is an epistemology of themachines, which can realize cognitive actors when they learn, ascertain, and control physicalreality with causal models, and related affordances. This is achievable with a technology thatmaterializes holons as intermediary and amphibian entities that straddle two realities andharness the emergence of a new hybrid phenomenon. Such an entity is conceived as aneigensystem that implements a relational transformation between algorithmic processes andcausal dynamic representations. The holonic observer becomes a means for scientific inquirythat is in search of effective control of the social upheavals caused by the digital transformationera. A new modelling framework of AI-human symbiosis will result from the expectedadvances.