Algorithmic Bias & AI Ethics: How Data Shapes AI (Grades 6–12)

Teach your students the essential ethics behind modern technology with AI Literacy Unit 2: Algorithmic Bias & Fairness (How Data Shapes AI Decisions)! Designed for middle and high school classrooms, this zero-prep 6-page printable mini-unit helps students analyze how machine learning models inherit human bias—without requiring computers, software logins, or programming experience.

What Is Included in This 6-Page Pack?

• Page 1: Teacher Implementation Guide & Lesson Plan

  Outlines clear learning goals, national standards alignment (NGSS, CSTA, ISTE), a 50-minute lesson pacing outline, and classroom management guidance.

• Page 2: Student Informational Text

  Provides high-interest technical reading breaking down Sampling Bias, Historical Bias, and Labeling Bias alongside real-world case studies in hiring algorithms, medical diagnostic systems, and facial recognition technology.

• Page 3: Comprehension & Unplugged Activity Worksheet

  Combines 3 targeted comprehension check questions with a hands-on "You Are The Data Auditor" simulation where students evaluate algorithmic loan approval scores, identify biased data inputs, and design corrective weighting rules.

• Page 4: Student Evaluation & Reflection

  Features a structured comparative matrix analyzing different bias types and 2 critical reflection prompts examining real-world AI ethical dilemmas (e.g., automated school security cameras and the feasibility of creating completely unbiased algorithms).

• Pages 5 & 6: 2-Page Complete Teacher Answer Key

  A spacious reference key providing detailed sample answers, data audit calculations, grading criteria, and discussion points for all student worksheets and reflection tasks.

Educational Value & Classroom Integration:

• 100% Unplugged & Zero Prep: Print-and-go formatting requiring no digital devices, student logins, or software setups.

• Standards-Aligned Content: Integrates NGSS engineering practices, CSTA computational thinking concepts, and ISTE digital citizenship guidelines.

• Flexible Implementation: Perfect for introductory computer science classes, science extension days, ethics and digital citizenship units, emergency sub plans, or Friday STEM discussions.