중등교육에서의 AI 윤리 쟁점과 과제 = Issues and Challenges of AI Ethics in Secondary Education

다국어 초록 (Multilingual Abstract)

This study aims to analyze the ethical risks posed by artificial intelligence (AI) across key domains of secondary education—including curriculum, instruction, assessment, student guidance, classroom management, and school governance —and to propose corresponding policy and pedagogical measures. Recent cases of generative AI–assisted academic misconduct in universities illustrate the potential collapse of academic integrity and assessment fairness, and similar risks are rapidly emerging in secondary schools through AI-generated plagiarism and ghostwriting. Major ethical issues identified in this study include weakened curricular publicness due to algorithmic bias and platform dependency; compromised instructional reliability resulting from generative AI errors and hallucinations; diminished assessment fairness caused by opaque and biased AI scoring; misjudgment and stigmatization risks in student guidance and classroom management; and responsibility gaps and weakened data sovereignty within school governance.
Corresponding tasks include establishing AI bias-verification mechanisms and protecting teachers’ curricular authority, mandating critical AI literacy education in classrooms, enforcing academic-integrity safeguards and teacher final-approval systems in assessment, restricting AI to low-risk support functions and strengthening protections for sensitive student data in guidance, implementing teacher oversight and error-correction structures in classroom management, and adopting explicit consent procedures, accountability frameworks, and enhanced teacher competencies in AI ethics at the governance level. This study demonstrates that AI ethics must be understood not merely as technical usage guidelines but as an essential institutional framework for ensuring fairness, responsibility, and the protection of student rights.