Globally, less than 10% of schools are developing uniquely local artificial intelligence (AI) policies and addressing use cases. Policies and guide rails for using AI in education that are in place have rightfully called for us to address the ethical implications and biases that can arise with regard to AI tools and systems. The landscape of what AI is, how it can be used, and how we can leverage it in education while being truly human in our approach necessitates background knowledge, experimentation, and a focus on curating tools that empower (not power) collective efforts to serve all children. To keep AI grounded in best practices for teaching children, it's essential to prioritize ethical considerations, continually evaluate and refine algorithms to ensure they align with educational goals, and involve educators and child development experts in the design and implementation process.