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#artificialintelligence#education#bias IN this 40 minute Video You’ll Learn : 1. Bias Awareness • What human bias means in simple language • Everyday examples: Teacher bias, appearance bias, friend bias, Name bias • How stereotypes influence our decisions • Why AI “inherits” human biases through Data and Rules 2. Sources of Bias in AI • Training Data Bias – Underrepresented groups, metro-only datasets, foreign accents • Algorithm Design Bias – How developer assumptions shape results • Prediction / Cognitive Bias – Human thinking patterns reflected in AI output • Real examples from India: urban vs rural datasets, unequal representation 3. How AI Becomes Unfair (Real-World Failures) • Facial Recognition Bias – Misidentification & wrongful arrests • Predictive Policing Bias – Over-policing marginalized areas • Hiring Algorithms – Favoring certain groups, reducing diversity • Healthcare Bias – Unequal treatment based on demographics • Credit Scoring Bias – Loan rejections based on socioeconomic status Bias doesn’t just “happen.” It perpetuates when AI keeps repeating old unfair human patterns. ⸻ 4. Mitigating AI Bias — How To Fix It You’ll learn practical, classroom-ready explanations of: • Using diverse datasets • Detecting bias with tools & testing • Designing fair algorithms • Ensuring transparency in AI decisions • Building inclusive AI development teams ⸻ 5. IBM AI Fairness 360 (AIF360) A simple, teacher-friendly overview of: • 70+ fairness metrics • 10+ bias mitigation algorithms • Pre-processing, prejudice remover, validation checks • How developers ensure fairness and trust Presented by Jagdish Chander, NIT Calicut alumnus, MBA, --AI & STEM educator. 📍 Lab of Stupids Initiative 👉 Watch all Parts_1 and Part_2 and Part_3 💬 Drop your questions in the comments — let’s learn together. 📥 Free course material available via Google Drive (link in description). https://drive.google.com/file/d/1XdUt... ---------------------------------------------------------------------------------------------------------- For conducting affordable AI and STEM workshop in school: contact : labofstupids@gmail.com