HYBRID INTELLIGENCE AND GENERATIVE ARTIFICIAL INTELLIGENCE (ON THE 35th ANNIVERSARY OF V.F. VENDA’S PROJECT)
Andrey Yuryevich Alekseev1,2, Yury Yuryevich Petrunin3, Oleg Eduardovich Petrunya4
1State Academic University of the Humanities, Moscow, Russia
2Patrice Lumumba Peoples’ Friendship University of Russia (RUDN), Moscow, Russia
3Lomonosov Moscow State University, Moscow, Russia
4Moscow Aviation Institute (National Research University), Moscow, Russia
Keywords: artificial intelligence, generative artificial intelligence, hybrid intelligence, co-adaptation, transformational learning theory
Abstract
To resolve the crisis of generative artificial intelligence, that is, mass dumbing down and the degradation of creativity, we propose to use V.F. Venda’s hybrid intelligence project (1990). This article examines the role of generative AI in co-adaptation methodology, distinguishes between subsystems of natural intelligence and artificial intelligence, and analyzes the variants of the correlation coefficient for these subsystems during the transformative learning of adaptive subsystems. We propose expanding Venda’s original project with modern methodological research: the AI subsystem uses the comprehensive Turing test and the latest versions of Putnam’s functionalism. Fundamental prospects for the practical transformation of the AI subsystem from imitation and reproduction of intelligence to a mind augmentation paradigm are shown.
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