The Philosophical Understanding of the Mythological Origins of Artificial Intelligence, from Ancient Аutomatons to Modern Cognitive Agents
Elena Vvedenskaya, Roman Dushkin
The subject of the research is a philosophical analysis of mythological narratives about artifi cial intelligent beings, considered as cultural prototypes of modern concepts of artifi cial intelligence (AI). It is proved that myths are archetypal matrices encoding fundamental philosophical questions about the nature of the mind, the limits of creation and the responsibility of the creator. The study thus hypothesizes that archaic myths do not contain intuitive predictions and guesses, but archetypal models that continue to implicitly structure the discourse around AI technologies. The focus is on the reconstruction and systematization of key mythologies that reveal fundamental anxieties and ethical dilemmas associated with the act of artifi cial creation, which remain relevant in the era of machine learning and autonomous cognitive agents. The methodology is based on a philosophical and comparative analysis of relevant mythological texts using a hermeneutic approach to identify stable archetypal structures and their subsequent projection on modern AI problems. The scientifi c novelty of the work lies in the systematization of four archetypal models for creating artifi cial intelligence – hybrid (Pandora), mechanical artifact (Talos), emergent entity (Sparta) and combined model (Golem) – and in demonstrating their direct connection with the current problems of AI. The correlation is traced between the unpredictable destructive actions of mythological characters with artifi cial intelligence and the shortcomings in modern AI systems being developed: the ‘black box’ (opacity of solutions), the ‘sinister valley’ (psychological discomfort from too realistic, but not living creatures), emergent behavior (unpredictability), loss of control and ethical risks. The main conclusion is that understanding the mythological heritage provides an indispensable cultural and philosophical toolkit for the responsible development of AI technologies, which sets a coordinate system for solving problems of interpretability, security and reconciliation of values, necessitating an interdisciplinary dialogue between engineers, philosophers and ethicists.