AI ETHICS: ARTIFICIAL INTELLIGENCE ETHICS FOR SCHOOL ADMINISTRATORS

Abstract

In the era where Artificial Intelligence (AI) plays a vital role in driving the education sector—ranging from teaching and learning, assessment, to data management—educational administrators must possess a deep understanding of AI ethics to prevent rights violations, injustice, and unintended consequences for students and educational personnel. This article presents the conceptual framework of “AI Ethics” based on the guidelines of the National Science and Technology Development Agency, which comprises seven key principles: privacy, security, reliability, fairness, transparency, accountability, and human-centricity. It also outlines four levels of AI risk: unacceptable risk, high risk, limited risk, and minimal risk, which assist administrators in evaluating AI systems before implementation in educational institutions.

In addition, the article provides practical recommendations for educational administrators, such as establishing an institutional ethics committee on technology, organizing professional development programs, developing AI risk assessment tools, and promoting transparent communication with stakeholders. It concludes with national policy recommendations to ensure that the use of AI in Thai education is ethical, transparent, and sustainable in the long term.