  Modern Education is not \textit{Modern} without AI. However, AI's complex
nature makes understanding and fixing problems challenging. Research worldwide
shows that a parent's income greatly influences a child's education. This led
us to explore how AI, especially complex models, makes important decisions
using Explainable AI tools. Our research uncovered many complexities linked to
parental income and offered reasonable explanations for these decisions.
However, we also found biases in AI that go against what we want from AI in
education: clear transparency and equal access for everyone. These biases can
impact families and children's schooling, highlighting the need for better AI
solutions that offer fair opportunities to all. This chapter tries to shed
light on the complex ways AI operates, especially concerning biases. These are
the foundational steps towards better educational policies, which include using
AI in ways that are more reliable, accountable, and beneficial for everyone
involved.
