Ethical Implications of Utilizing Artificial Intelligence in Education for Assessment

Abstract

The growing integration of Artificial Intelligence (AI) in education has brought forth ethical quandaries, particularly concerning its role in assessment methodologies. This research paper delves into the intricate ethical implications linked to the use of AI-driven technologies for educational evaluation. Through an extensive literature review, this study explores the potential merits and drawbacks of AI application in educational assessments, addressing concerns encompassing fairness, transparency, privacy and the inherent biases embedded in algorithmic decision-making. This article critically assesses the ethical aspects of AI incorporation in formative and summative evaluations, examining its repercussions on student learning encounters and academic outcomes. By scrutinizing the viewpoints of educators, students, policymakers and technologists, this paper provides insights into the complex ethical predicaments arising when AI assumes the role of evaluating human aptitudes and understanding. The findings underscore the essentiality of a well-balanced approach that upholds ethical principles, human discernment and the responsible advancement of AI technologies to ensure equitable and impartial educational assessment practices during the AI-driven epoch.