Values of openness and Generative AI

In connection with the topic of our upcoming Utopia(s) Conversations on the film “End of Humanity” in a fortnight, two recent publications co-authored by our Member Yurii Mielkov from Ukraine shall be mentioned here.

The paper is dedicated to the philosophical analysis of the specifics of artificial intelligence and its relation to human intelligence, as well as of the very notion of generative artificial intelligence and its abilities and inabilities. Emphasis is placed on such feature of human thinking as openness, which is argued to clearly distinguish it from machine thinking, as well as on such aspects of human intelligence as nonlinearity, morality, emotionality and evaluation that could be described as extra-rational and thus unobtainable for the artificial intelligence. It is argued that artificial intelligence cannot think openly, “out of the box”, going beyond the boundaries of purely rational reasoning and formal logic peculiar to classical type of rationality. The authors also conclude that the development of AI-based technologies makes it necessary to shift the higher education in the direction of strengthening the emphasis on the ethical, emotional, and volitional sphere of human intelligence.

V. Zinchenko, Yu. Mielkov, T. Nych, M. Abasov, M. Trynyak. Human Thinking in the Age of Generative A.I.: Values of Openness and Higher Education for the Future // 3rd International Conference on Electrical, Computer and Energy Technologies (ICECET 2023) (16-17 November 2023, Cape Town-South Africa) // IEEE Xplore, 2024. P. 897–902. DOI: URL:

Open Science as a major enterprise to enable a citizen science and AI technologies that can provide for the vast amounts of information to be digested by each human persons are argued to be connected to each other by revealing the possibility of the personalization of knowledge and the human dimension of science. The development of the IT sphere is shown to be the history of its personalization, which presents the challenges for handling the present-day AI technologies so that they would augment human labourers, and not replace them.

V.Zinchenko, Yu.Mielkov, O.Polishchuk, V.Derevinskyi, M.Trynyak, M.Iehupov, N.Salnikova. Human dimension of Open Science and the challenges of AI technologies // E3S Web Conferences (eISSN: 2267-1242). 2024, Volume 474 X International Annual Conference “Industrial Technologies and Engineering” (ICITE 2023), Article Number 02008 DOI: URL:


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