The increasingly prominent presence of artificial intelligence (AI) in education is raising an urgent demand: not only to use AI effectively but to use AI transparently and responsibly. As AI becomes involved in the teaching and learning process, from lesson planning, assessment, and content personalization to supporting students in completing their learning tasks, the boundary between assistance and replacing thinking becomes blurred. Without transparency, AI can erode educational trust, causing learners to become dependent on technology without fully understanding how this tool generates results, as well as the human responsibility in controlling and evaluating those results.
In this context, the development of the AI Ethics and Social Responsibility Framework in education is not only aimed at establishing standards for the use of AI but, more importantly, at creating a common transparent framework for the entire education ecosystem. Transparency here is not simply about disclosing whether "AI is used or not," but includes clarifying what purposes AI is used for, to what extent, who is responsible for the outcomes, and where learners need to understand their role in that process. When these factors are clarified, AI is no longer a difficult-to-control "black box," but becomes a tool that can be monitored, evaluated, and adjusted.
The document is designed to consist of four closely linked chapters: from establishing the principles and core values of AI ethics; guiding teachers to use AI responsibly and transparently in their professional work; directing students to use AI for the right purposes, distinguishing between academic support and misuse; to building a culture of responsible AI use throughout the school, replacing a prohibitive mindset with a mechanism of consensus and self-regulation. The introduction of these four chapters is not intended to create additional regulations, but to form a common language about how AI is understood and used in education.
Throughout this entire structure, transparency is seen as a guiding principle. For teachers, transparency helps maintain the pedagogical role in the context of increasingly "intelligent" AI, by clearly explaining to students when AI is used, what data is collected, and what part of the assessment is based on the actual abilities of the learners. For students, transparency helps them understand that AI is not an absolute source of truth, but a tool that needs to be verified, critiqued, and supplemented with personal thinking. For schools and parents, transparency is the foundation for building trust, ensuring that the application of AI does not infringe on privacy rights, does not create unfairness in assessments, and does not distort educational goals.
From a social responsibility perspective, transparency also serves as a risk prevention mechanism. When the methods of using AI are made public and clearly explained, abusive behaviors, fraud, or blaming technology will find it difficult to have a "gray area" to exist. Responsibility is not shifted to the algorithm but is clearly distributed among policymakers, educators, and learners. This is the fundamental difference between controlling AI through technical tools and controlling AI through ethical frameworks.
It can be said that the AI Ethics and Social Responsibility Framework is not intended to slow down the process of educational innovation, but rather to ensure that such innovation occurs in a directed manner. In an educational environment where AI is increasingly pervasive, transparency is not only a management principle but also a necessary condition to protect independent thinking, fairness, and human values. When transparency is placed at the center, AI will not overshadow the role of education but will become a catalyst for more sustainable and responsible educational development.