Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
How AI Learns Bias from Synthetic Training Data
In this episode of AI Ethics with Fexingo, hosts Lucas and Luna explore a hidden driver of algorithmic bias: synthetic data. They unpack a 2025 Stanford study showing that models trained on AI-generated data can silently amplify racial and gender stereotypes, even when the original human data was fair. Lucas explains the 'model collapse' feedback loop, where AI-generated training data drifts from reality, and they walk through a concrete example from facial recognition software that performed worse on darker skin tones after synthetic augmentation. Luna brings up a real-world case from a…
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