Ethical Considerations of AI in Education: A Comprehensive Analysis

Abstract

Artificial Intelligence (AI) in learning is enabling better personalization and the provision of smarter content. Yet the fast-growing spread of AI systems in education brings blessings, fundamental ethical issues to be solved in order to avoid their socially unacceptable use. This research paper examines the complex ethical aspects surrounding AI-based education, including data privacy and security, algorithmic bias and fairness, transparency and accountability, and its effect on educators and students. This paper explores the challenges and opportunities of promoting ethical AI use in education through a narrative review of the literature and practices in the field. It sets out a framework to guide work on creating an ethical approach to AI development and use, and calls for policymakers, developers and businesses to work with a wider variety of voices to ensure AI works for society. The objective is to offer advice to teachers, policymakers, and developers on how to take them through the conceptual and ethical minefield of AI in education, so that AI technologies do support learning, illuminating the ethical frameworks to be used to do so.