Machine learning enables systems to extract patterns from data to make predictions, a process that powers adaptive learning tools in the classroom. To ensure equity and accuracy, the underlying datasets must be diverse; otherwise, the AI risks being biased against certain student groups. Beyond data quality, safeguarding student privacy is a critical ethical obligation. I believe that even young students can grasp these complex concepts through hands-on activities, such as object classification or pattern recognition. This approach demystifies AI, fostering both practical understanding and ethical awareness from an early age.”