Ethical Challenges of Artificial Intelligence in Education: Achieving Learner Centricity with Respect to Learner Autonomy

Abstract

In the realm of education, the integration of Artificial Intelligence (AI) has emerged as a transformative force, offering the potential to reshape conventional learning paradigms through the provision of personalized and adaptive educational experiences that cater to the unique requirements of each learner. While the promise of AI in education is undeniably compelling, its implementation is accompanied by a nuanced tapestry of ethical challenges, notably in the context of learner autonomy and agency. The connection between learner autonomy, ethical considerations, and AI in education is carefully examined in this research. A thorough literature analysis reveals what is learner autonomy and its potential effects on it. It examines different ethical issues such as algorithmic biases and decreased active involvement that arise from balancing AI's educational augmentation with preserving learner autonomy. In order to strengthen student autonomy in AI-integrated learning settings, the study suggests best practices to address challenges faced for achieving learner autonomy.