AI ethics in AI Educational Applications and their Governance Strategies

Abstract

Nowadays, the rapid development of artificial intelligence (AI) has had a profound impact on human production and life. The exploration and application of AI in the field of education are burgeoning, while at the same time, ethical issues in its educational applications have become increasingly prominent. The formation of the concept of AI ethics has gone through stages of science fiction literature, problem emergence and robot ethics, theoretical exploration, and the formulation of norms. Internationally, significant consensus has been reached on AI ethical issues and governance principles. In recent years, AI has been widely applied in education, giving rise to issues such as risks of data privacy breaches, algorithmic bias and discrimination, academic integrity crises, skill deficiencies, and mental health concerns. Addressing the ethical challenges in AI educational applications requires the collective participation of multiple stakeholders, including governments, educational organizations, and schools. At the top-level design stage, it is essential to establish legal regulations for AI applications in education. At the educational organization level, policy guidelines and indicator systems for AI in education should be developed. At the school level, it is crucial to actively formulate guiding documents and implement AI ethics education.