TACIT KNOWLEDGE: FROM M. POLANYI TO ALPHAZERO
Aleksandr Anatolyevich Shevchenko
Institute of Philosophy and Law, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
Keywords: tacit knowledge, epistemology, philosophy of science, artificial intelligence, “black box”, collective knowledge, Deep Blue, AlphaZero, epistemological shift
Abstract
The article explores Michael Polanyi’s concept of tacit knowledge and its relevance in contemporary scientific and technological contexts. It reviews the historical and epistemological background, the social dimension of collective tacit knowledge in science, and the challenges posed by the “black box” problem in artificial intelligence. Using the evolution of chess algorithms from Deep Blue to AlphaZero as a case study, the article illustrates the shift from explicit, formalized knowledge to opaque, tacit knowledge. It emphasizes the enduring importance of tacit knowledge for understanding the nature of scientific practice and modern cognitive systems.
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