ARTIFICIAL INTELLIGENCE AS A FACILITATOR OF UNCERTAINTY: THE TRANSITIONAL SPACE OF HUMAI INTERACTION
DOI:
https://doi.org/10.31732/2663-2209-2025-80-342-352Keywords:
artificial intelligence, uncertainty, buffer zone of development, transitional space, hybrid intelligence, HUMAI, posthumanism, Eco-Centered Psychological Facilitation (ECPF), paradoxical control, post-traumatic development, emergenceAbstract
Contemporary academic discourse on artificial intelligence is dominated by a defensive stance that focuses primarily on AI's limitations—its inability to understand, feel, possess consciousness, or genuinely create. This study offers an alternative perspective grounded in the Eco-Centered Psychological Facilitation (ECPF) model, posthumanist philosophy, and Friston's free energy principle. The central thesis of this study is that AI can sustain uncertainty as a source of development, compensating for the brain's evolutionary tendency toward uncertainty minimization. By analyzing the neuropsychological mechanisms of uncertainty avoidance in humans and comparing them with the architectural features of contemporary AI systems, the study develops the concept of AI as a facilitator of the “buffer zone of development”—a space between the known and unknown where, through paradoxical control and tolerance for uncertainty, new personal potential emerges. The aim of this study is to conceptualize artificial intelligence as a facilitator of uncertainty-as-a-source-of-development and to introduce the HUMAI concept as an integrative transitional space of human–AI interaction. Key findings include substantiation of the asymmetry of cognitive functions between humans and AI, along with the introduction of the HUMAI concept grounded in four principles: asymmetric complementarity, facilitation of possibilities, emergent tension, and conservation innovation. Practical implications pertain to the design of human–AI interaction systems oriented toward sustaining transitional space in which new configurations of thinking emerge. Future research directions involve empirical verification of the HUMAI concept and the development of practical models of human–AI interaction in the contexts of psychological facilitation and educational practice.
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