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?
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