AI can seem like a 'black box': data goes in, and a decision comes out, but the process is unclear.

This story explains the 'black box' problem in AI and why it matters for education.

If an AI recommends a certain learning path or grade, how do we know if it's fair and unbiased?

This is a look at the importance of transparency and 'explainable AI' (XAI) in education.

Understand the potential risks of using AI systems that we don't fully understand.

This is a critical conversation about holding AI accountable in educational settings.

Learn what questions students and parents should be asking about the AI tools used in their schools.

This is about ensuring that technology serves students, not the other way around.

We need to be able to trust the AI that is shaping our education.

This story shines a light inside the black box.