Concepts for the further development of AI: application of the thesis on the collective consciousness

Abstract

This paper examines concepts for the further development of generative AI based on the thesis of the dual nature of human intelligence and consciousness, and on the existence of the collective consciousness as a component of a supra-personal level of information processing. Generative AI is interpreted as a mediator between the personal and supra-personal levels of information processing: it aggregates individual texts andcode, while simultaneously operating on supra-personal informational objects entrenched in culture, includingscientific theories, logical rules, and mathematical constructs. To resolve the resulting dialectical contradiction, the paper proposes a program for the controlled connection of groups of individuals to the collectiveconsciousness, in which an additional resource is gained both by group participants and by the AI, which expands its training base and generalization tools. The practical significance of the approach is linked to themodernization of higher education. The study substantiates the need to develop communication technologiesand soft psychological testing procedures that can form new university environments and verifiable conditions for the co-evolution of the human-machine system. The approach is also noted to be heuristically closeto brainstorming practices and forms of group sense-making, as well as to pedagogical findings on the dependence of learning outcomes on students’ emotional states.