Artificial Intelligence And Bioethical Principles: A Contemporary Analysis
- IJLLR Journal
- Nov 30, 2025
- 2 min read
Ajith C.J., MG University Kottayam
ABSTRACT
The integration of Artificial Intelligence (AI) into education has reshaped academic learning, presenting both advantages and challenges for students’ overall development. This study examines how AI technologies influence students’ learning experiences and academic performance, emphasizing their perceptions and the difficulties linked to AI adoption.
The research was conducted at the National University of Science and Technology POLITEHNICA Bucharest and focused on second-year students who had firsthand exposure to AI-supported learning environments. Using purposive sampling, 85 participants were selected to ensure relevance to the study’s objectives. Data were gathered through an 11-item structured questionnaire: seven closed-ended questions assessing students’ perceptions, usage patterns, and AI tool effectiveness; and four open-ended questions exploring personal experiences, expectations, and concerns.
Quantitative data were analyzed through frequency and percentage distribution, while qualitative responses were examined using thematic analysis, applying both vertical (individual-level) and horizontal (cross- dataset) approaches to ensure thorough theme development.
The results indicate that AI provides notable advantages, such as tailored learning, improved academic performance, and greater student engagement. However, the study also highlights several concerns, including excessive dependence on AI, reduced critical thinking, risks to data privacy, and potential academic misconduct.
The findings emphasize the need for a structured framework and ethical standards to support effective AI integration in education. Overall, although AI has significant potential to enhance academic efficiency and outcomes, its successful implementation depends on addressing issues of accuracy, cognitive disengagement, and ethical considerations. Achieving balanced use is crucial to ensure fair, meaningful, and responsible learning experiences within AI-enhanced educational settings.
Artificial intelligence (AI), often described as the driving force of the Fourth Industrial Revolution (IR 4.0), is transforming not only modes of work and social interactions but also how humans understand themselves. This article traces the evolution and meaning of AI, evaluates its socio-economic and industrial influence in the 21st century, and proposes foundational principles for AI-centered bioethics. Unlike the First Industrial Revolution of the 18th century—which altered production systems while leaving interpersonal relationships largely intact—modern AI dramatically impacts human interaction, social structures, and ethical boundaries. As AI continues integrating with daily life, concerns regarding autonomy, responsibility, bias, and safety grow. Therefore, this article argues for the development of comprehensive AI bioethical frameworks to ensure that these technologies evolve responsibly and for collective benefit.
Keywords: Artificial intelligence, Bioethics, AI principles, Ethics, Technology
