The Promise and Peril of Artificial Intelligence in Higher Education

This article analyzes artificial intelligence as both a catalyst and a risk in higher education. Using transdisciplinary communication and educational psychology, it argues for human-in-the-loop practices that preserve critical thinking, ethical judgment, and transformative learning in AI-supported institutions.
Split allegorical image showing two futures of AI in education: on one side, a luminous AI supports engaged students and collaborative learning; on the other, a dark AI erodes a classical human statue as students disengage behind screens.

The Promise and Peril of Artificial Intelligence in Higher Education

By: James Lipuma & Cristo León

Blog post about the article by Lipuma and León (2025) published in the Journal of Systemics, Cybernetics and Informatics, last updated on December 19, 2025.

Introduction

Artificial Intelligence (AI) is reshaping higher education with unprecedented speed. While AI-enabled tools promise personalization, efficiency, and expanded access, they also introduce risks that challenge the core human purposes of education. This article examines AI not as a neutral technology, but as a socio-epistemic force that reconfigures how learning, teaching, and institutional decision-making occur.

The Promise of AI in Higher Education

Drawing on transdisciplinary communication (TDC) and educational psychology, the authors identify how AI can enhance collaboration, automate administrative burdens, support multilingual inclusion, and enable adaptive learning environments. When used intentionally, AI can function as a catalyst for transformative learning rather than a shortcut around it.

The Perils of Automation

The article cautions that uncritical reliance on AI risks eroding essential human capacities, including critical thinking, ethical reasoning, empathy, and intellectual independence. Over-automation can reduce reflective depth, turning learning into procedural compliance rather than inquiry-driven meaning-making.

What Remains Non-Delegable

The analysis identifies interpretation, judgment, and contextual understanding as fundamentally human dimensions that cannot be outsourced to AI systems. These capacities anchor education’s ethical and civic responsibilities and must remain central even as AI becomes more capable.

Implications for Institutions

Rather than framing AI as a replacement for cognition, the authors argue for a human-in-the-loop approach that foregrounds metacognition, reflexivity, and ethical discernment. Institutions must design policies, curricula, and assessment practices that ensure AI amplifies inquiry rather than undermines it.

Cite this Paper

Lipuma, J., & León, C. (2025). The Promise and Peril of Artificial Intelligence in Higher Education. Journal of Systemics, Cybernetics and Informatics, 23(7), 176–182. https://doi.org/10.54808/JSCI.23.07.176

DOI: 10.54808/JSCI.23.07.176

ISSN: 1690-4524

Volume: 23 | Issue: 7 | Pages: 176–182

Publisher: International Institute of Informatics and Cybernetics

License: Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International

Keywords: artificial intelligence; higher education; ethics; metacognition; transdisciplinary communication; transformative learning

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Copyright

© 2025 Lipuma & León. Published by the International Institute of Informatics and Cybernetics.

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Versión en Español

La Promesa y el Riesgo de la Inteligencia Artificial en la Educación Superior

Entrada de blog sobre el artículo de Lipuma y León (2025) publicado en el Journal of Systemics, Cybernetics and Informatics.

Introducción

La inteligencia artificial está transformando la educación superior con gran rapidez. Este artículo analiza tanto su potencial transformador como los riesgos asociados a la automatización excesiva, destacando la necesidad de preservar el pensamiento crítico, la reflexión ética y la autonomía intelectual.

Aporte Central

Desde la comunicación transdisciplinaria y la psicología educativa, se argumenta que la IA debe entenderse como un catalizador del aprendizaje transformador y no como un sustituto de la cognición humana. La reflexión metacognitiva y el enfoque humano-en-el-bucle son esenciales para una integración ética e inteligente.