In this lesson, students examine the ethical implications of AI systems and explore how bias and fairness impact decision-making. Through whole-class discussions, case studies, and reflection activities, students connect mathematical reasoning from previous lessons to real-world consequences of AI errors. They analyze scenarios where biased data leads to unfair outcomes and consider strategies for improving AI systems. The lesson concludes with an assessment that challenges students to articulate why humans must remain involved in AI decision-making and propose ways to reduce bias.
Lesson Plan
Assessment Rubric
Instructional Considerations
