SCIENTIFIC THINKING IN THE AGE OF ARTIFICIAL INTELLIGENCE
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Аннотация:
The rise of Artificial Intelligence (AI) is rapidly transforming the way scientific knowledge is produced, analyzed, and applied. This paper explores how AI is reshaping scientific thinking by automating data analysis, enhancing predictive modeling, and supporting hypothesis generation. We review key AI applications in various scientific fields and assess the implications for researchers, educators, and policymakers. Our findings suggest that while AI augments human capabilities, it also challenges traditional scientific reasoning and ethical standards. The study emphasizes the importance of integrating AI literacy into scientific training and encourages a reflective approach to technology-driven research.
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Библиографические ссылки:
Russell, S. & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson Education.
Floridi, L. (2020). The Logic of Information: A Theory of Philosophy as Conceptual Design. Oxford University Press.
Jumper, J., Evans, R., Pritzel, A., et al. (2021). Highly accurate protein structure prediction with AlphaFold. Nature, 596(7873), 583–589. https://doi.org/10.1038/s41586-021-03819-2
Marcus, G. & Davis, E. (2020). Rebooting AI: Building Artificial Intelligence We Can Trust. Pantheon Books.
Topol, E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.
Brynjolfsson, E. & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company.
Binns, R. (2018). Fairness in Machine Learning: Lessons from Political Philosophy. Proceedings of the 2018 Conference on Fairness, Accountability and Transparency, 149–159.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1–21.
Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum.
Chalmers, D. J. (2019). The Meta-Problem of Consciousness. Oxford University Press.