Impacts of AI Usage Ethically on Students

Salem Al Shamsi, Reem Al Hamami, Sara Ali, Areej ElSayary

This study explores the impact of ethical artificial intelligence (AI) usage on university students' academic experiences, performance, and knowledge acquisition. Conducted at Zayed University in the UAE, this cross-sectional study assesses student perceptions of ethical AI practices, including fairness, transparency, and responsibility, using a conceptual framework adapted from prior research. Findings reveal that ethical AI practices, such as the responsible use of adaptive learning systems and AI-driven feedback mechanisms, significantly enhance students' academic outcomes while addressing issues like plagiarism and over-reliance on AI. However, challenges such as biases, reliability, and context understanding in AI tools highlight the need for enhanced development and guidelines. By integrating ethical considerations and reflecting on these challenges, this study underscores the importance of balancing AI's transformative potential with responsible implementation to foster equitable and effective learning environments. Recommendations for educators, students, and developers include promoting ethical AI usage, developing reliable systems, and enhancing awareness of privacy concerns to maximize AI’s benefits in education.

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