The Ethical Implications of AI in Education: Privacy, Bias, and Accountability

Abstract

As artificial intelligence (AI) technologies become more prevalent in education, their influence on privacy, fairness, and responsibility is under increasing scrutiny. This paper investigates the ethical implications of AI in educational settings, specifically examining concerns about student privacy, potential biases embedded in AI systems, and the accountability structures necessary to manage AI responsibly. The paper advocates for proactive policies and practices that prioritize ethical standards, thereby ensuring AI serves as a tool for equity and improved learning outcomes rather than one that exacerbates existing inequalities.