Ethical Design and Implementation of AI in the Field of Learning and Education: Symmetry Learning Technique

The infusion of Artificial Intelligence (AI) in primary education promises the increased learning experiences and achievement among students, but in the face of these pluses, consideration of child privacy ethically comes as a major concern. This paper seeks to look into the nuanced role that leveraging AI technologies play in a manner that augments primary education while, at the same time, ensuring in the process protection to children’s privacy rights. The education sector has also been covered with artificial intelligence lately, which brings a place where facilities for individual learning, according to the exact requirement and style of learning of the student, can be put in place. More so, the basic level of education-that is from where the actual foundation of skills lies-a huge potential remains in terms of AI-based applications among students, in their engagement, autonomy, and academic attainment. Examples of such AI tools will be adaptive learning platforms, intelligent tutoring systems inspired towards practice, and educational games focusing on the diverse needs and preferences of the learner, hence redefining traditional approaches in pedagogy. However, the very penetration of AI into the primary education system raises mostly ethical questions, connected with child privacy. Using the capacities of AI-driven platforms, a child literally emits plenty of sensitive data from personal identifiers up to learning preferences and behavioral patterns.