Ethical Leadership of School Administrators in the AI Era: From Knowledge to Human Value

Abstract

           The rapid advancement of Artificial Intelligence (AI) has increasingly enabled school administrators to utilize data and intelligent systems to support analysis, decision-making, resource management, personnel development, and learning management. However, technological efficiency alone is not a sufficient criterion for educational decision-making, as the use of AI may raise concerns regarding fairness, algorithmic bias, transparency, privacy, accountability, human dignity, and human agency. This academic article aims to analyze and synthesize the concepts of ethical leadership, Responsible AI, Human-Centered AI, and AI Ethics and Governance in order to propose a conceptual framework for school administrators. The article employs an integrative conceptual synthesis drawing on the knowledge bases of ethical leadership, Responsible AI and AI ethics in education, Human-Centered AI and Human Agency, and AI Governance. It compares the underlying values, principles, governance mechanisms, and desired outcomes identified in foundational literature, contemporary scholarship, and policy frameworks developed by international organizations in order to synthesize the core components of the proposed conceptual framework. The synthesis results in the Human-Value-Centered Ethical Leadership in the AI Era: A Conceptual Framework, comprising six key principles: (1) Human Dignity, (2) Fairness and Inclusion, (3) Transparency and Explainability, (4) Accountability and Responsibility, (5) Human Agency and Oversight, and (6) Human Flourishing. These principles are interconnected through the conceptual pathway: Knowledge → Artificial Intelligence → Ethical Judgment → Responsible Leadership and Governance → Human Values → Human Flourishing. The framework proposes that progress in schools in the AI era should not be assessed solely by the extent of technology adoption; rather, it should also be evaluated in terms of school administrators’ capacity to govern technology through ethical judgment, thereby ensuring that AI supports the development of human potential, well-being, rights, fairness, and sustainable educational quality.