Example Concept: AI can personalize learning experiences by adapting content to individual student needs, but it must be designed to accommodate diverse backgrounds and learning styles. This involves using AI algorithms that are trained on diverse data sets to minimize bias and ensuring that AI tools are accessible to all students, including those with disabilities or limited access to technology.