Examines AI's educational impact and age detection accuracy in children, highlighting potential risks.
Artificial Intelligence is growing fast and rapidly it is being used almost everywhere in our daily lives. It has made our lives simpler in many ways but at the same time it has also brought some serious problems with it. One of the biggest concerns today is that children are misusing AI technologies and getting access to adult or explicit content very easily which should not be appropriate for upcoming generation. The goal of this research is to check impact of AI on education & predict age of a person just by analyzing his face and to find solution for global problem the misuse of AI technologies by children, like accessing abusive and explicit content. The increasing usage of artificial intelligence (AI) in all sectors its benefits and drawbacks are also increasing. The model is designed to predict an individuals age from facial features. The system first applies face detection mechanism to extract facial features from input image using Convolutional Neural Networks (CNNs) feature extraction mechanism. These cropped faces are then passed into a deep learning model which is trained on a secondary dataset of faces labeled with age, gender and race. The model extracts eye features because eyes carries distinct patterns, wrinkles, and shape variations that strongly correlates with age. By analyzing a new image model detects its facial characteristics and matches it with features stored in input data. By using Machine Learning classification algorithms model predicts age of new individual. On the basis of categories like child, adult and elder model applies content based restrictions on it. AI has huge benefits in fields like education, healthcare.
No takes yet. Share an insight, caveat, or question.
Kulkarni et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: