On the fundamental (im)possibility of strong artificial intelligence
Light and shadows of digital reality: the artificial and the natural
DOI:
https://doi.org/10.17072/2078-7898/2024-3-351-361Keywords:
social paradigm, scientific paradigm, artificial intelligence, strong artificial intelligenceAbstract
The drastic changes taking place in the world affect not only the geopolitical or geo-economic level but also all others related to the arrangement of mankind’s existence on the planet. Obviously, such transformations will lead to a change in both the social and scientific paradigms. And this process is already happening. The Age of Enlightenment as a social paradigm, as well as the scientific paradigm that developed during the scientific revolution of the 17th century, has exhausted its potential. This means that their principles are insufficient to explain the processes that occur in the modern world and science. It is in this context that the problem of creating strong Artificial Intelligence (AI) should be considered. In the article, this problem is presented in such a way that, from the standpoint of the interval approach, such a possibility is preserved in a certain sense when the problem is changed, reformulated. At the same time, the paper presents substantial, not to say fundamental, arguments to justify the impossibility of its resolution in the existing paradigm. And there is no logical, epistemological, or ontological contradiction in this. In the first case, as evidenced by the history of science, it has always managed to find a solution to «unsolvable» problems. Science did this by rethinking the problem itself, by creating new methodologies, methods, and technologies. In the second case, science became aware of the problem itself and the fundamental impossibility of solving it in the old paradigm, and it overcame these limitations through philosophy. The article shows that using the problem of strong AI.References
Буданов В.Г., Лекторский В.А., Аршинов В.И. и др. Антропомерность как вызов и ответ современности: колл. монография / отв. ред. В.Г. Буданов. Курск: Университетская книга, 2022. 309 с.
Ведяхин А.А. и др. Сильный Искусственный интеллект: на подступах к сверхразуму. М.: Интеллектуальная литература, 2021. 232 с.
Габриелян О.А., Витулёва Е.С., Сулейменов И.Э. Проблема соотношения материи и сознания с точки зрения современной теории информации // Вестник Казахского национального университета. Серия философии, культурологии и политологии. 2024. Т. 88, № 2. С. 4–13. DOI: https://doi.org/10.26577/jpcp.2024.v88-i2-01
Габриелян О.А., Сулейменов И.Э. К перспективе практической философии: к вопросу о новой парадигме науки и образования // Практическая философия: состояние и перспективы: сб. материалов I науч. конф. (Судак, 24–25 мая 2018 г.) / гл. ред. О.А. Габриелян. Симферополь: Антиква, 2018. С. 23–29.
Габриелян О.А., Сулейменов И.Э. Теория сложных систем: ноосферный контекст. Симферополь: Изд-во КФУ им. В.И. Вернадского, 2023.168 с.
Голосовкер Я.Э. Логика мифа. М.: Наука, 1987. 218 c.
Дрейфус Х. Чего не могут вычислительные машины / пер. с англ. Н. Родман. М.: Прогресс, 1978. 334 с.
Колонин А. В чем сила, Сильный ИИ? / Российский совет по международным делам. 2022. 11 нояб. URL: https://russiancouncil.ru/analytics-and-comments/analytics/v-chem-sila-silnyy-ii/ (дата об-ращения: 12.06.2024).
Лазарев Ф.В. Истина и структура реальности. Основы интервальной методологии. Симферополь: Ариал, 2019. 456 с.
Мамардашвили М.К. Анализ сознания в работах Маркса // Вопросы философии. 1968. № 6. С. 14–25. URL: http://vphil.ru/index.php?option=com_content&task=view&id=504 (дата обращения: 12.06.2024).
Марков А.В., Марков М.А. Коэволюция мозга, культуры и продолжительности жизни: результаты компьютерного моделирования // Биохимия. 2021. Т. 86, вып. 12. С. 1739–1765. DOI: https://doi.org/10.31857/s0320972521120010
Серл Д. Открывая сознание заново / пер. с англ. А.Ф. Грязнова. М.: Идея-Пресс, 2002. 256 с.
Сулейменов И.Э., Габриелян О.А., Витулёва Е.С. Проблематика искусственного интеллекта в контексте учения о ноосфере // Ученые записки Крымского федерального университета им. В.И. Вернадского. Философия. Политология. Культурология. 2023. Т. 9(75), № 1. С. 4–12.
Bostrom N. Superintelligence: Paths, Dangers, Strategies. Oxford, UK: Oxford University Press, 2014. 328 р.
Brachman R.J. Getting Back to «Тhе Very Idea» // AI Magazine. 2005. Vol. 26, no. 4. Р. 48–50. DOI: https://doi.org/10.1609/aimag.v26i4.1846
Gabrielyan O.A., Vitulyova E.S., Suleimenov I.E. Multi-valued logics as an advanced basis for artificial intelligence (as an example of applied philosophy) // Wisdom. 2022. Vol. 21, no. 1. P. 170–181. DOI: https://doi.org/10.24234/wisdom.v21i1.721
LeCun Y. A Path Towards Autonomous Machine Intelligence. Version 0.9.2. 2022. Jun. 27. URL: https://openreview.net/pdf?id=BZ5a1r-kVsf (accessed: 12.06.2024).
Long L.N., Kelley T.D., Wenger M.J. The Prospects for Creating Conscious Machines // «Toward a Science of Consciousness» Conference (Tucson, AZ, April 8–12, 2008) / Tucson Convention Center. 2008. URL: https://www.academia.edu/25394329/The_Prospects_for_Creating_Conscious_Machines (accessed: 12.06.2024).
McCarthy J. The Future of AI – A Manifesto // AI Magazine. 2005. Vol. 26, no. 4. Р. 39. DOI: https://doi.org/10.1609/aimag.v26i4.1842
Nilsson N.J. Human-Level Artificial Intelligence? Ве Serious! // AI Magazine. 2005. Vol. 26, no. 4. Р. 68–75. DOI: https://doi.org/10.1609/aimag.v26i4.1850
Suleimenov I.E., Gabrielyan O.A., Bakirov A.S., Vitulyova Ye.S. Dialectical Understanding of Information in the Context of the Artificial Intelligence Problems // 3rd International Conference on information processing and control engineering, ICIPCE (Moscow, Aug. 4–7, 2019) / IOP science. 2019. URL: https://iopscience.iop.org/article/10.1088/1757-899X/630/1/012007/pdf (accessed: 12.06.2024). DOI: https://doi.org/10.1088/1757-899x/630/1/012007
Weizsäcker E.U. von, Wijkman A. Come On! Capitalism, Short-termism, Population and the Destruction of the Planet: A Report to the Club of Rome. N.Y.: Springer, 2018. 232 p. URL: https://batrachos.com/sites/default/files/pictures/Books/Weizsacker_Wijkman_2018_Come%20on.pdf (accessed: 12.06.2024).
References
Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford, UK: Oxford University Press, 328 р.
Brachman, R.J. (2005). Getting back to «Тhе Very Idea». AI Magazine. Vol. 26, no. 4, pp. 48–50. DOI: https://doi.org/10.1609/aimag.v26i4.1846
Budanov, V.G., Lektorsky, V.A., Arshinov, V.I. et al. (2022). Antropomernost’ kak vyzov i otvet sov-remennosti [Anthropomericity as a challenge and re-sponse of modernity]. Kursk: Universitetskaya Kniga Publ., 309 p.
Dreyfus, H. (1978). Chego ne mogut vychislitel’nye mashiny [What computers can’t do]. Moscow: Progress Publ., 334 p.
Gabrielyan, O.A. and Suleymenov, I.E. (2018). [Towards the perspective of practical philosophy: on the issue of a new paradigm of science and education]. Prakticheskaya filosofiya: sostoyanie i perspektivy: sb. materialov I nauch. konf. (Sudak, 24–25 maya 2018 g.) [Practical philosophy: state and prospects: collection of materials of the 1st scientific conference (Sudak, May 24–25, 2018)]. Simferopol: Antikva Publ., pp. 23–29.
Gabrielyan, O.A. and Suleymenov, I.E. (2023). Teoriya slozhnykh sistem: noosfernyy kontekst [The theory of complex systems: the noospheric context]. Simferopol: CFU Publ., 168 p.
Gabrielyan, O.A., Vituleva, E.S. and Suleymenov, I.E. (2022). Multi-valued logics as an advanced basis for artificial intelligence (as an example of applied philosophy. Wisdom. Vol. 21, no. 1, pp. 170–181. DOI: https://doi.org/10.24234/wisdom.v21i1.721
Gabrielyan, O.A., Vituleva, E.S. and Suleymenov, I.E. (2024). [The problem of the relationship of matter and consciousness from the point of modern information theory]. Vestnik Kazakhskogo natsional’nogo universiteta. Seriya filosofii, kul’turologii i politologii [Journal of Philosophy, Culture and Political Science]. Vol. 88, no. 2, pp. 4–13. DOI: https://doi.org/10.26577/jpcp.2024.v88-i2-01
Golosovker, Ya.E. (1987). Logika mifa [The logic of the myth]. Moscow: Nauka Publ., 218 p.
Kolonin, A. (2022). V chem sila, sil’nyy II? [What is the strength, a strong AI?]. Russian International Affairs Council, Nov. 11. Available at: https://russiancouncil.ru/analytics-and-comments/analytics/v-chem-sila-silnyy-ii/ (accessed 12.06.2024).
Lazarev, F.V. (2019). Istina i struktura real’nosti. Osnovy interval’noy metodologii [The truth and the structure of reality. Fundamentals of interval methodology]. Simferopol: Arial Publ., 456 p.
LeCun, Y. (2022). Put’ k avtonomnomu mashinnomu intellektu. Version 0.9.2 [A path towards autonomous machine intelligence. Version 0.9.2]. Available at: https://openreview.net/pdf?id=BZ5a1r-kVsf (accessed 12.06.2024).
Long, L.N., Kelley, T.D. and Wenger, M.J. (2008). The Prospects for Creating Conscious Machines. «Toward a Science of Consciousness» Conference (Tucson, AZ, April 8–12, 2008). Tucson Convention Center. Available at: https://www.academia.edu/25394329/The_Prospects_for_Creating_Conscious_Machines (accessed 12.06.2024).
Mamardashvili, M.K. (1968). [Analysis of con-sciousness in the works of Marx]. Voprosy filosofii. No. 6, pp. 14–25. Available at: http://vphil.ru/index.php?option=com_content&task=view&id=504 (accessed 12.06.2024).
Markov, A.V. and Markov, M.A. (2021). [Coevolution of the brain, culture and life expectancy: results of computer modeling]. Biokhimiya [Biochemistry]. Vol. 86, iss. 12, pp. 1739–1765. DOI: https://doi.org/10.31857/s0320972521120010
McCarthy, J. (2005). The future of AI – A manifesto. AI Magazine. Vol. 26, no. 4, p. 39. DOI: https://doi.org/10.1609/aimag.v26i4.1842
Nilsson, N.J. (2005). Human-level artificial intelligence? Ве serious! AI Magazine. Vol. 26, no. 4, pp. 68–75. DOI: https://doi.org/10.1609/aimag.v26i4.1850
Searle, D. (2002). Otkryvaya soznanie zanovo [The rediscovery of the mind]. Moscow: Idea-Press Publ., 256 p.
Suleymenov, I.E., Gabrielyan, O.A., Bakirov, A.S. and Vitulyova, Ye.S. (2019). Dialectical understanding of information in the context of the artificial intelligence problems. 3rd Internatiomal Conference on Information Processing and Control Engineering, ICIPCE (Moscow, Aug. 4–7, 2019). IOP science. Available at: https://iopscience.iop.org/article/10.1088/1757-899X/630/1/012007/pdf (accessed 12.06.2024). DOI: https://doi.org/10.1088/1757-899x/630/1/012007
Suleymenov, I.E., Gabrielyan, O.A. and Vituleva, E.S. (2023). [Problems of artificial intelligence in the context of the noosphere]. Uchenyye zapiski Krymskogo federal’nogo universiteta im. V.I. Vernadskogo. Filosofiya. Politologiya. Kul’turologiya [Scientific Notes of V.I. Vernadsky Crimean Federal University. Philosophy. Political Science. Cultural Studies]. Vol. 9(75), no. 1, pp. 4–12.
Vedyakhin, A.A. et al. (2021). Sil’nyy Iskusstvennyy intellekt: na podstupax k sverkhrazumu [Strong artificial intelligence: on the approaches to superintelligence]. Moscow: Intellektual’naya Literatura Publ., 232 p.
Weizsäcker, E.U. von and Wijkman, A. (2018). Come On! Capitalism, Short-termism, Population and the Destruction of the Planet: A Report to the Club of Rome. N.Y.: Springer Publ., 232 p. Available at: https://batrachos.com/sites/default/files/pictures/Books/Weizsacker_Wijkman_2018_Come%20on.pdf (accessed 12.06.2024).
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Perm University Herald. Philosophy. Psychology. Sociology
This work is licensed under a Creative Commons Attribution 4.0 International License.
