The role of child data privacy and artificial intelligence-generated data copyright is an important topic in today's Smart communities. Policymakers, information security scholars, and parents must balance a child's Right to Privacy and growth with potential future artificial intelligence data copyright infringements across the internet. The purpose of this paper is to raise awareness of potential future artificial intelligence-generated child data privacy copyright infringements. Through the examination of information flow, privacy, and activity theories, this study identifies child data privacy protection sources as well as potential artificial intelligence child data copyright infringement opportunities. Furthermore, this research benchmarked 76 public privacy policies to contrast the child data privacy literature with real-world policy trends. This study expands the Information Security AI data copyright body of knowledge by identifying gaps in child data privacy and introducing a COPPA activity model to help explain one potential AI inference.