Your question is Fairness in Education ML Models. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
In the context of AI for Education, how do you ensure machine learning models remain unbiased when evaluating student learning outcomes?