Beyond Code: Elucidating A Human-Centric Approach to Ai Ethics

Abstract

This study examines the necessity of adopting a human-centric approach to artificial intelligence (AI) ethics, emphasizing the integration of empathy, dignity, and moral accountability within AI-driven educational ecosystems. Using a mixed-methods design, the research collected quantitative survey data from 80 Malaysian primary school teachers and qualitative interview insights from seven participants. Findings reveal that teachers generally perceive AI as a beneficial tool that enhances efficiency and learning experiences, yet they express concern about ethical issues such as privacy, transparency, and algorithmic bias. The participants strongly advocate for AI policies and systems that prioritize human values and civilizational continuity. Thematic analysis highlights six core themes: AI as a practical assistant, human–AI collaboration, safeguarding human intellect, societal responsibility, ethical safeguards, and fostering creativity. The study concludes that ethical AI integration must move beyond technical compliance toward relational accountability, inclusive governance, and pedagogical empowerment. It recommends developing national ethical frameworks, professional AI literacy programs, and participatory design models that ensure technology remains aligned with human welfare and educational integrity. Finally, this paper contributes to global discourse by proposing a holistic framework for embedding human values in AI ethics.