Example Concept: AI in education can tailor learning experiences by analyzing student data to create personalized learning paths. However, challenges include ensuring that AI algorithms do not reinforce existing biases, adapting to diverse learning needs, and providing equal access to technology and resources. Effective integration requires ongoing monitoring and adjustments to ensure all students benefit equitably.