Ethical Considerations in Artificial Intelligence: A Curricular Approach for STEM Disciplines

Abstract

This research full paper explores the critical role of AI ethics in STEM education, emphasizing the need to equip students with both technical expertise and ethical responsibility. As AI rapidly advances, it brings transformative opportunities and ethical challenges across STEM fields. Using a content analysis of AI ethics-related courses offered on platforms like Coursera and EdX, the study examines course descriptions, topics, and evaluation methods to identify best practices in AI ethics education. Findings highlight a framework that incorporates case studies, active learning techniques, flipped classrooms, peer instruction, and project-based learning to foster critical thinking, ethical reasoning, and interdisciplinary engagement. The framework emphasizes core AI ethics principles such as fairness, transparency, accountability, and responsibility, advocating their integration into STEM curricula. Embedding these ethical discussions helps students develop a holistic understanding of AI's societal impacts and prepares them to address complex ethical challenges in real-world contexts. By providing practical recommendations for educators, this study supports the enhancement of STEM education through the integration of ethical considerations into technical training. Preparing students with AI ethics knowledge ensures that future technological advancements align with societal values and promote human wellbeing.

Ähnliche Arbeiten