Ednius handles grading errors by combining AI efficiency with teacher oversight. The system first generates an initial grade, then a professor reviews it and makes any necessary corrections, ensuring that any mistake or discrepancy is caught before finalizing the score.

In practice, about 4% of AI-assigned grades require adjustments. This human-in-the-loop process keeps the grading transparent and reliable, while every correction helps improve the system over time. This approach ensures that the grading remains both accurate and fair.