AIs Hidden Mirrors: Unveiling Bias, Redesigning Fairness
AI is rapidly transforming industries, from healthcare and finance to education and entertainment. However, the algorithms powering these advancements are not immune to bias. If left unchecked, these biases can perpetuate and amplify existing societal inequalities, leading to unfair or discriminatory outcomes. This article explores the critical need for AI bias detection, different types of biases, techniques for identifying them, and best practices for building fairer, more equitable AI systems.
Understanding AI Bias
What is AI Bias?
AI bias refers to systematic and repeatable errors in an AI system that create unfair outcomes for specific groups of people. It arises when the training data, algorithm design, or even the application of the AI system reflects existing biases present in the ...