Advancing AI Literacy Lessons

Beyond the Numbers: The Ethics of AI Decisions

Technology Applications | 6-8
Duration: 70 minutes
Author: Jennifer Simmons, CTE Teacher

In this follow-up to "Behind the Numbers: How Data Shapes AI Decisions," students will build on their data analysis by engaging in ethical reflection and collaborative discussion. Using their visualizations and insights from the previous lesson, students will explore how biased AI systems can impact individuals and communities. Through guided whole-class dialogue, case-based scenarios, and reflective writing, students will consider the role of representation, fairness, and human decision-making in AI design. The lesson emphasizes ethical reasoning, empathy, and the importance of inclusive data practices in technology.

Lesson Plan Series

  1. Behind the Numbers: How Data Shapes AI Decisions
  2. Beyond the Numbers: The Ethics of AI Decisions

Lesson Objectives

  • Evaluate how bias or underrepresentation in data can affect outcomes in AI systems.
  • Describe the relationship between data patterns and real-world consequences of AI decision-making.
  • Utilize evidence from visualizations to support claims about fairness and representation in AI.
  • Propose strategies for improving fairness in AI systems through inclusive design and data practices.

Essential Questions

  • How can biased data lead to unfair decisions in AI systems?
  • Who is responsible for ensuring fairness in AI?
  • What are the real-world consequences of algorithmic bias?
  • How can we design AI systems to be more ethical and inclusive?

Digital Resources

Lesson Plan

Assessment

Assessment Rubric

Assessment Answer Key

Instructional Considerations