SCIENTIFIC THINKING IN THE AGE OF ARTIFICIAL INTELLIGENCE

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.