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We often assume AI is objective — but is it really? In this video, I break down what bias in AI models means, how it creeps into systems, and whether we can ever truly eliminate it. From biased hiring algorithms to AI image tools that reinforce stereotypes, this video unpacks real-world examples and explains how data, labeling, and model design all play a role. 0:00 Introduction 0:33 Examples of bias in AI models 2:07 What is bias 3:10 How bias creeps in 4:35 Can you remove bias? 5:00 Solutions to reduce bias 5:52 Experiment with an image gen model to observe bias 9:34 : Conclusions Understanding bias is key to building better, fairer AI systems. 🚀 Welcome to my channel! I break down complex AI topics into simple explanations and share how AI meets Product Management. Whether you’re a beginner curious about AI, a product manager exploring AI features, or someone building side projects with AI, you’ll find practical insights here. 🎥 Playlists you might like: Decode AI → AI explained simply • 🧠 Decode AI AI meets Product Management → frameworks, features, and strategies • 🧩 AI Meets Product Management Lokki → my AI-powered travel planner • Lokki - Your trusted travel buddy for trav... 👋 Subscribe if you want to understand AI, apply it to products, and turn ideas into reality.