BOUNDARIES OF MIND: CHALLENGES AND PARADOXES OF MODERN INTELLIGENT SYSTEMS
Received: 2026-07-17 18:49:13
Published: 2026-04-18
Abstract
The article examines the fundamental boundaries of modern intelligent systems, including explainability paradoxes, the problem of semantic interpretation, and the phenomenon of emergence. Key challenges in the field of artificial intelligence are analyzed: limitations of neural network architectures, the problem of generalization, and ethical dilemmas of autonomous systems. A conceptual model for understanding the cognitive limitations of AI systems in the context of human intelligence is proposed.
Keywords
List of references
-
Le Cun, Y., Bengio, Y., Hinton, G. Deep learning // Nature. 2015. Vol. 521, No. 7553. P. 436-444.
-
Brown, T., Mann, B., Ryder, N. et al. Language models are few-shot learners // Advances in Neural Information Processing Systems. 2020. Vol. 33. P. 1877-1901.
-
Rudin, C. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead // Nature Machine Intelligence. 2019. Vol. 1, No. 5. P. 206-215.
-
Bender, E.M., Gebru, T., McMillan-Major, A., Shmitchell, S. On the dangers of stochastic parrots: Can language models be too big? // Proceedings of FAccT. 2021. P. 610-623.
-
Searle, J.R. Minds, brains, and programs // Behavioral and Brain Sciences. 1980. Vol. 3, No. 3. P. 417-424.
-
Наврузова Е.П. (2021). РАЗВИТИЕ ДУХОВНО-ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА ШКОЛЬНИКОВ НА УРОКАХ ЛИТЕРАТУРЫ. Наука и образование сегодня, (10 (69)), 59-61.
-
Wei, J., Tay, Y., Bommasani, R. et al. Emergent abilities of large language models // Transactions on Machine Learning Research. 2022. P. 1-36.
-
Marcus, G. Deep learning: A critical appraisal // arXiv preprint arXiv:1801.00631. 2018. 27 p.
-
Russell, S. Human compatible: Artificial intelligence and the problem of control. New York: Viking, 2019. 352 p.
-
Sharipova, L., Shakirova, A., Yusufova, S., Kholbaeva, D., Turaeva, G., Alikulova, I., ... & Ruzmatov, I. (2025). The Ecological, Chemical, Biological and Medical Condition of the Aral Sea Region. The Eurasia Proceedings of Health, Environment and Life Sciences, 20, 7-13.
-
Pavlovna, S. A. (2024). PROBLEMS OF TEACHING GENETICS AT A MEDICAL UNIVERSITY. Eurasian Journal of Academic Research, 4(2-1), 58-62.
-
Pavlovna, S. A. (2024). METHODS OF TEACHING BIOLOGY IN HIGHER EDUCATION. Eurasian Journal of Medical and Natural Sciences, 4(8), 18-22.
-
Maratovna, K. D. (2025, December). THE ROLE OF AN INTERDISCIPLINARY APPROACH (MEDICINE+ IT+ PSYCHOLOGY) IN THE FORMATION OF PROFESSIONAL COMPETENCIES OF A DOCTOR. In Uzbekistan Open Conference (No. 1, pp. 49-53).
-
Хамракулов, Д. Р. ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В МЕДИЦИНСКОМ ОБРАЗОВАНИИ И КЛИНИЧЕСКОЙ ПРАКТИКЕ. In Современные проблемы интеллектуальных систем. Сборник Республиканского научно-практического конференции. Часть 2.-Джизак: Филиал КФУ в г. Джизаке Республики Узбекистан, 18-19-апреля 2025 г.–С 351. (p. 106).
-
Волкова, Т. Г., кизи Аликулова, И. М., & Таланова, И. О. (2023). ИССЛЕДОВАНИЕ ДИМЕРА ВАЛИНА С ДВУМЯ ВОДОРОДНЫМИ СВЯЗЯМИ.
About the Authors
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
