- Transparency and Interpretability: AI-driven insights should be interpretable by educators and learners. It is essential that stakeholders understand how AI models reach their conclusions so that the recommendations provided are trusted and acted upon effectively.
- Human Oversight: The use of AI in decision-making should involve human oversight to validate automated suggestions and intervene where necessary. Educators play an essential role in contextualizing analytics insights and providing nuanced support that AI systems may not fully capture.