AI in Higher Education: Strategy, Risks & the Future of Learning

Описание: The BAISS 2025 event brings together academic leaders and experts to explore the strategic integration of artificial intelligence in higher education. In this essential discussion, Vice-Rector Dr. Peter Galambos of Óbuda University presents a comprehensive AI strategy that positions artificial intelligence as a powerful educational tool,one that should enhance, but never replace, human creativity and critical thinking.
The presentation highlights how Generative AI, particularly large language models, is transforming teaching and learning methodologies. AI-powered tutors and intelligent learning systems are already demonstrating measurable impact, with studies showing up to a 27% reduction in learning time and significant improvements in student performance. These technologies offer new opportunities to personalize education, improve efficiency, and support both students and educators.
However, the discussion also examines major challenges and risks associated with AI adoption in academia. One key concern is the labor market impact, where AI increases productivity for highly skilled professionals while making entry-level positions, especially for junior developers, more difficult to access. This raises critical questions about how future generations of senior experts will be developed.
Another focal point is the “Scissor Effect,” describing the potential division of higher education into two paths: mass education for generalists empowered by AI tools, and elite education for individuals with deep, specialized knowledge capable of operating independently of high computational support. The session further explores creativity, goal setting, and AI agency, emphasizing concerns that over-reliance on AI particularly among children may limit the development of original and complex creative thinking.
By addressing global priorities such as digital equality, ethical AI use, and long-term educational strategy, this discussion offers valuable insights into how universities can responsibly navigate the future of AI-driven learning.

Tags:
Large Language Models
AI Tutors
Digital Transformation in Education
Educational Innovation
Academic Leadership
AI in Higher Education
Artificial Intelligence Strategy
Generative AI in Education
Future of Learning
BAISS 2025