Ethical Implications Of AI Integration In Educational Decision Making: Systematic Review

Abstract

Objective: This research delves into using Artificial Intelligence (AI) in education to facilitate a comprehensive understanding of its transformative potential and associated ethical considerations.

Methods: Through an extensive review of academic literature and real-world examples, this study systematically evaluates the applications of AI in education, focusing on aspects such as personalized learning, instant feedback, fostering creativity, and facilitating interaction.

Results: The investigation highlights the benefits of AI in education, including enhanced learning experiences and improved educational outcomes. However, it also identifies ethical challenges such as algorithmic bias, student privacy concerns, and accountability in automated decision-making processes.

Conclusion: The study advocates for developing guidelines emphasizing transparency, equity, and continuous professional development for educators leveraging AI in educational settings. It underscores the importance of multidisciplinary collaboration to balance innovation and ethical considerations while outlining opportunities for deeper Learning, Educational Ethics, and Digital Collaboration.