- Transparency and Accountability: Learning engineers must be transparent about how AI systems make decisions, particularly when these decisions impact learners’ learning paths or assessments. Maintaining transparency builds trust and ensures that learners and educators understand how learning technologies function.
- Human Oversight: AI tools used in learning engineering must be subject to human oversight. Learning engineers should ensure that AI-driven decisions are appropriate, ethical, and aligned with educational goals, particularly when making judgments about learner performance or progress.