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Ethical and Pedagogical Considerations for AI in Education
Pages
22
Time to read
26 mins
Publication
Language
English
Pages
22
Time to read
26 mins
Publication
Language
English
This guide discusses the integration of Artificial Intelligence (AI) in educational settings, focusing on ethical and pedagogical implications. It outlines the current landscape where AI tools are increasingly utilized by students and educators, emphasizing the need for responsible usage. The document details various AI technologies relevant to education, such as Machine Learning, Deep Learning, and Generative AI, and their applications in enhancing learning experiences. It stresses the importance of explainable AI (XAI) for transparency and trust in AI-driven assessments and feedback. Furthermore, the guide presents ethical frameworks, including those developed by the OECD, which advocate for inclusivity, fairness, and human accountability in AI applications. By addressing potential risks such as bias and privacy concerns, the guide aims to equip educators with the knowledge to navigate AI's role in education effectively. It serves as a resource for instructors and administrators to foster ethical AI practices that prioritize student well-being and educational integrity.