Aspek Etis Penerapan Kecerdasan Buatan Pada Teknologi Guru Virtual

Abstract

Artificial intelligence (AI) is increasingly being applied in various fields, including education. One of the implementations is an AI-based virtual teacher used in the digital learning process. However, the application of this technology poses a number of ethical challenges that need to be considered. This article aims to describe the ethical aspects of the application of AI in the virtual teacher system in the context of education. This study uses the narrative literature review method. Literature sources were obtained from the PubMed, Science Direct, Google Scholar, and SpringerLink databases. The articles reviewed were selected based on relevance and year of publication, i.e. within the last eight years. The results of the analysis show that AI-based virtual teachers work by relying on data on learning behavior, student preferences, and academic performance. However, data imbalances, algorithm bias, and a lack of consideration for students' social and cultural contexts can lead to inequities in the learning process. Additionally, the limitations of transparency in the way AI makes decisions cast doubt on the accountability of the system. Overreliance on AI also risks reducing the role of human teachers in shaping character and building social interaction. Important ethical aspects in the application of AI in virtual teachers include the protection of students' personal data, the prevention of algorithmic bias, transparency in the decision-making process, clarity of responsibility, and humans for system supervisors. AI should be used as a tool, not as a full replacement for the role of teachers in education.