A key area of debate in AI bias revolves around the concept

Source: Dev.to

Overview

A key area of debate in AI bias revolves around the concept of proxy bias – where a biased AI model learns indirectly through its interactions with external systems that perpetuate existing social imbalances, ultimately resulting in an unfair outcome. Can a truly neutral AI system be trained in a digital environment heavily influenced by the same societal biases it aims to mitigate, or is it an impossible endeavor?