Research on Instructional Design to Minimize AI Bias and Bias

This study aims to develop students’ critical thinking skills by recognizing and minimizing AI bias. While AI enhances information efficiency, it can also generate distorted outputs due to algorithmic biases. This research analyzes the concept and causes of AI bias and proposes an educational approach to mitigate its effects. Specifically, the study introduces the concept of “flexible bias,” which enables students to acknowledge AI’s potential errors and adopt diverse perspectives. The proposed lesson plan includes analyzing AI bias cases and establishing AI ethics guidelines, fostering critical thinking and reflective attitudes among students. This study highlights that digital citizenship education in the AI era should extend beyond technical proficiency to include critical and ethical thinking, presenting an educational model for the rational use of AI.