AI bias is shaping decisions in hiring, healthcare, finance, and policing. Learn how AI bias happens, real-world examples, and proven ways to fix it. Artificial Intelligence is shaping critical decisions—from who gets hired to who receives medical treatment or financial loans. But as AI adoption grows, a troubling issue has emerged: AI bias . AI systems are not neutral. They reflect the data, assumptions, and decisions made by humans. When bias enters AI systems, it can reinforce inequality at massive scale. In this article, we break down how AI bias happens , real-world examples, and how it can be fixed —before it causes lasting harm. What Is AI Bias? AI bias occurs when an algorithm produces unfair, discriminatory, or skewed outcomes due to: Biased data Flawed model design Human assumptions Lack of diversity AI bias is not intentional—but its impact can be serious. How AI Bias Happens 1. Biased Training Data AI learns from historical data. If the data reflects inequalit...
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