Kecerdasan Buatan dan Etika Pendidikan
DOI:
https://doi.org/10.37304/enggang.v6i1.24259Keywords:
Algorithmic Fairness, Artificial Intelligence, Data Privacy, Educator Responsibility, Educational EthicsAbstract
This article examines the relationship between artificial intelligence (AI) and educational ethics, focusing on the challenges of algorithmic fairness, student data privacy, and educators' professional responsibilities. Through a contextual approach based on a literature review, this research identifies that the use of AI in the classroom has the potential to improve learning efficiency, but also raises complex ethical dilemmas. The analysis shows that ethical digital literacy and human involvement in AI-based decision-making are key to creating equitable and digitally civilized education. The use of AI to assess student performance or personalize learning can raise algorithmic fairness issues if the data used is unrepresentative or biased. Furthermore, the collection and use of students' personal data without clear transparency can limit their privacy, adding to the ethical challenges in education. Therefore, it is important to ensure that educators are involved in any AI-based decision-making process and are provided with a sound understanding of ethical and privacy practices. The integration of AI in education needs to be done carefully, to ensure that this technology is used to support, rather than replace, human-centered educational approaches.
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