Algorithmic Bias & AI Ethics: How Data Shapes AI Decisions | STEM Mini-Unit

🤖 AI LITERACY UNIT 2: ALGORITHMIC BIAS & FAIRNESS How Data Shapes AI Decisions (An Unplugged 6-Page STEM Mini-Unit) Teach your students the vital ethics behind modern artificial intelligence! Unit 2: Algorithmic Bias & Fairness provides a complete, zero-prep 6-page printable mini-unit designed to help middle and high school students understand how machine learning models inherit human biases—without requiring a single line of code or computer access. Aligned with NGSS, CSTA, and ISTE standards, students examine real-world case studies (facial recognition errors, automated hiring tools, healthcare algorithms), learn to spot sampling, historical, and labeling bias, step into the role of a data auditor in an unplugged loan approval simulation, and evaluate critical real-world AI dilemmas. 📦 What Is Included in This 6-Page Pack? 📄 Page 1: Teacher Implementation Guide & Lesson Plan: Clear learning objectives, national educational standards alignment (NGSS, CSTA, ISTE), 50-minute lesson sequence, and classroom flow instructions. 📄 Page 2: Student Informational Text: Detailed breakdown of Sampling Bias, Historical Bias, Labeling Bias, and real-world case studies in law enforcement, hiring, and healthcare. 📄 Page 3: Comprehension & Unplugged Activity Worksheet: 3 quick-check comprehension questions paired with the multi-step "You Are The Data Auditor" loan scoring simulation and algorithmic redesign challenge. 📄 Page 4: Student Evaluation & Reflection: Structured comparative bias table and 2 critical thinking prompts on real-world AI dilemmas (AI school security cameras & the limits of zero bias). 📄 Pages 5 & 6: 2-Page Complete Teacher Answer Key: Thorough sample answers, grading guides, and step-by-step solutions for all student activities, audit tasks, and reflection questions. 🌟 Key Features Teachers Love: Spacious 2-Page Teacher Answer Key: Detailed, stress-free reference key split across two pages so grading is fast and easy. Standards-Aligned: Explicit connections to NGSS, CSTA, and ISTE computational thinking and digital citizenship standards. 100% Unplugged & Zero Prep: No computers, software logins, or coding knowledge required. Just print and go! Essential Digital Citizenship: Essential context for discussing tech ethics, fairness, and responsible AI use in modern society. Versatile Use: Ideal for computer science classes, science extensions, advisory lessons, emergency sub plans, or Friday STEM discussions! Total Pages: 6 Clean, Printable Pages (Teacher Guide + Informational Text + Unplugged Activity + Evaluation + 2-Page Teacher Answer Key).