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AI-Driven Consent Mechanisms: Enhancing Parental Control While Preserving Child Autonomy in Digital Spaces
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Author(s): Anjali Rawat (University of Extremadura, Spain), Anand Rajavat (Shri Vaishnav Vidyapeeth Vishwavidyalaya, India), Purvee Bhardwaj (Faculty of Science, Rabindranath Tagore University, India)and Prathamesh Muzumdar (Mangalayatan University, India)
Copyright: 2026
Pages: 24
Source title:
Integrating Parental Consent and Child Engagement With Digital Protection Rules
Source Author(s)/Editor(s): Romil Rawat (LabGeoInf-Research LABoratory in GEOmatics and INFormation systems, National Research Council in Italy, Rome, Italy), Sanjaya Kumar Sarangi (Utkal University, India), A. Samson Arun Raj (Karunya Institute of Technology and Sciences, India), Janet Olivia Richmond (Karunya Institute of Technology and Sciences, India)and Purvee Bhardwaj (Rabindranath Tagore University, India)
DOI: 10.4018/979-8-3373-2716-7.ch016
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Abstract
This study introduces an AI-based consent framework designed to strengthen parental control in digital gaming while supporting child autonomy. Using data from the 2023 Video Game Behavior Dataset—comprising over 10,000 interactions from popular online multiplayer games—the approach applies Natural Language Processing and Transformer models (e.g., BERT, GPT-4) to detect harmful content, offer context-aware feedback to parents, and adjust controls based on a child's behavior and maturity. The system empowers children to make supervised digital decisions through a real-time consent model. Evaluation reveals a 98.45% accuracy in harmful content detection with a 2.7% false-positive rate. The consent feature showed 92% parental satisfaction and led to a 20% rise in positive child engagement, all while maintaining safety. These results suggest AI-driven tools can effectively balance digital safety and child independence in gaming environments.
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