Ethical Issues of Artificial Intelligence Use in Education: Bias, Privacy, and Transparency

Abstract

Artificial Intelligence (AI) is increasingly being espoused in educational systems to enhance literacy issues, epitomize instruction, and support executive decision- timber. While AI offers significant benefits, its deployment in education raises critical ethical enterprises, particularly related to algorithmic bias, data sequestration, and translucency. This exploration paper examines these ethical issues by assessing being literature and empirical data collected from preceptors using AI-driven educational tools. A mixed styles approach was employed, including check-grounded data collection and system-position analysis of generally used AI operations in education. The results reveal wide disparities among preceptors regarding prejudiced decision-making, shoddy data protection measures, and the lack of explain ability in AI systems. The study concludes that without proper ethical frameworks, governance mechanisms, and specialized safeguards, AI systems threat undermining equity, trust, and responsibility in education. Recommendations are proposed to promote responsible and ethical AI relinquishment in educational surroundings.