Opportunities and Challenges of AI Language Models in Higher Education for Sustainable Development

Abstract

This article examines the contemporary opportunities and limitations of using large language models(LLMs), including ChatGPT, in higher education and scientific research. It outlines the technologicalfoundations of LLMs, highlighting their capabilities for context-aware dialogue, language synthesis,automated assessment, and personalization of learning pathways, including applications in languagelearning and intercultural communication that can support learner autonomy and communicativecompetence. The study emphasizes the potential of AI to enhance the quality of education, supportpedagogical decision-making, and improve the management of educational processes. At the sametime, key risks are identified, including informational biases, reliance on training data, the potentialgeneration of inaccurate content, threats to privacy, and challenges to academic integrity. Ethicalconsiderations are discussed, focusing on algorithmic transparency, data security, researcheraccountability, and the prevention of discriminatory effects. The article also presents key strategies foraddressing these challenges, including the development of information and ethical literacy, theestablishment of transparent university policies, clarification of scientific publication requirements,and implementation of guidelines for responsible LLM use. The study concludes that effectiveintegration of LLMs into academic environments requires a balanced combination of innovativepotential and ethical safeguards to ensure the integrity of education and scientific research. Keywords: large language models (LLMs), higher education, personalized learning, academic integrity, artificial intelligence, digital literacy, sustainable development, ethical AI, communication

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