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[2602.17418] A Privacy by Design Framework for Large Language Model-Based Applications for Children
Summary
This article proposes a Privacy by Design framework for AI applications targeting children, addressing privacy risks and compliance with regulations like GDPR and COPPA.
Why It Matters
As AI technologies increasingly engage children, ensuring their privacy is paramount. This framework provides actionable guidelines for developers to create safer AI applications, aligning with legal standards and protecting young users from potential privacy violations.
Key Takeaways
- The framework integrates principles from major privacy regulations to guide AI design for children.
- It emphasizes proactive risk management throughout the AI application lifecycle.
- Case studies demonstrate practical applications of the framework in educational contexts.
- Design guidelines are aligned with children's rights and privacy protection standards.
- The framework aims to balance innovation in AI with the necessity of safeguarding children's data.
Computer Science > Artificial Intelligence arXiv:2602.17418 (cs) [Submitted on 19 Feb 2026] Title:A Privacy by Design Framework for Large Language Model-Based Applications for Children Authors:Diana Addae, Diana Rogachova, Nafiseh Kahani, Masoud Barati, Michael Christensen, Chen Zhou View a PDF of the paper titled A Privacy by Design Framework for Large Language Model-Based Applications for Children, by Diana Addae and 5 other authors View PDF HTML (experimental) Abstract:Children are increasingly using technologies powered by Artificial Intelligence (AI). However, there are growing concerns about privacy risks, particularly for children. Although existing privacy regulations require companies and organizations to implement protections, doing so can be challenging in practice. To address this challenge, this article proposes a framework based on Privacy-by-Design (PbD), which guides designers and developers to take on a proactive and risk-averse approach to technology design. Our framework includes principles from several privacy regulations, such as the General Data Protection Regulation (GDPR) from the European Union, the Personal Information Protection and Electronic Documents Act (PIPEDA) from Canada, and the Children's Online Privacy Protection Act (COPPA) from the United States. We map these principles to various stages of applications that use Large Language Models (LLMs), including data collection, model training, operational monitoring, and ongoing validation. For...