# Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance

arXiv: https://arxiv.org/abs/2503.11947 · HTML: https://mlsanity.com/paper/2503.11947/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 54 references that are in the map.
- First posted on arXiv 15 Mar 2025.

## Builds on (most cited first, 5 of 5)

- [From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy](https://mlsanity.com/paper/2307.00691/) (2023)
- [Identifying and Mitigating the Security Risks of Generative AI](https://mlsanity.com/paper/2308.14840/) (2023)
- [Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning](https://mlsanity.com/paper/2202.09027/) (2022)
- [The Future of Child Development in the AI Era. Cross-Disciplinary Perspectives Between AI and Child Development Experts](https://mlsanity.com/paper/2405.19275/) (2024)
- [Creative beyond TikToks: Investigating Adolescents' Social Privacy Management on TikTok](https://mlsanity.com/paper/2301.11600/) (2023)

## Built on by (most cited first, 2 of 2)

- [Balancing Usability and Compliance in AI Smart Devices: A Privacy-by-Design Audit of Google Home, Alexa, and Siri](https://mlsanity.com/paper/2601.04403/) (2026)
- [Toward Youth-Centered Privacy-by-Design in Smart Devices: A Systematic Review](https://mlsanity.com/paper/2601.11598/) (2026)

## Abstract (arXiv)

The rapid expansion of Artificial Intelligence (AI) in digital platforms used by youth has created significant challenges related to privacy, autonomy, and data protection. While AI-driven personalization offers enhanced user experiences, it often operates without clear ethical boundaries, leaving young users vulnerable to data exploitation and algorithmic biases. This paper presents a call to action for ethical AI governance, advocating for a structured framework that ensures youth-centred privacy protections, transparent data practices, and regulatory oversight. We outline key areas requiring urgent intervention, including algorithmic transparency, privacy education, parental data-sharing ethics, and accountability measures. Through this approach, we seek to empower youth with greater control over their digital identities and propose actionable strategies for policymakers, AI developers, and educators to build a fairer and more accountable AI ecosystem.