
AI Bias: Root Cause Analysis For Fairer Models
AI's increasing presence in our lives, from loan applications to hiring processes, promises efficiency and objectivity. However, this promise is jeopardized by a critical flaw: AI bias. This isn't a technical glitch; it's a reflection of the biased data AI systems are often trained on, leading to unfair and discriminatory outcomes. Understanding, detecting, and mitigating AI bias is paramount to building truly equitable and trustworthy AI systems.
Understanding AI Bias
What is AI Bias?
AI bias refers to systematic and repeatable errors in AI systems that create unfair outcomes based on sensitive attributes like race, gender, or religion. These biases can manifest in various ways, leading to discriminatory decisions in areas such as:
Hiring: An AI recruitment tool might be less likely to re...