ACADEMIC ETHICS OF USING NEURAL NETWORKS IN HIGHER PEDAGOGICAL EDUCATION

The rapid integration of artificial intelligence technologies into higher education has significantly transformed teaching and learning processes. Neural networks, particularly generative AI systems, have become widely used tools for content generation, information retrieval, lesson planning, and assessment support. However, their implementation raises serious ethical concerns related to academic integrity, authorship, intellectual independence, and information reliability. This article examines the ethical implications of neural network use in higher pedagogical education.