Ethical Considerations in the Use of AI for Higher Education: A Comprehensive Guide

Abstract

Conversational AI refers to the use of artificial intelligence technology to enable machines to engage in human-like conversations, allowing for interactive and dynamic interactions with users. There are several tools that are developed by using AI and are widely used across various domains. In education, AI tools can offer several benefits, such as increased accessibility, personalized learning experiences, and improved engagement for students. However, potential downsides may include concerns about data privacy, accuracy of responses, and overreliance on technology without human interaction for holistic learning. This research paper aims to provide a comprehensive guide on the ethical aspects of using AI in higher education. Drawing on insights from twenty recent research papers in the field, this paper discusses the right direction and attitude towards AI, the potential benefits for students, and the risks of electronic plagiarism, black box theory, and diminished creativity. The paper also examines whether AI should be prohibited in higher education to mitigate the potential negative effects. This paper contributes to the ongoing conversation on the role of AI in education and provides a foundation for future research.