Topics:Â
– Explainable AI (XAI) and transparency in educationÂ
– Building trust and human oversightÂ
– Acceptance by students/teachersÂ
– Bias, fairness, ethical implicationsÂ
– Challenges in transitioning from research models to real-world applications