Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
How AI Learn Bias from Synthetic Training Data
In episode 159 of AI Ethics with Fexingo, Lucas and Luna explore a fresh yet urgent angle: the bias that sneaks into AI models when they're trained on synthetic data. They center the conversation on a concrete case—a 2025 study from researchers at Stanford and the University of Toronto that found synthetic data can amplify racial and gender bias in facial analysis systems, even when the generator is designed to be fair. Lucas breaks down why 'fake data' isn't neutral, explaining the 'hallucination cascade' where errors compound in recursive training. Luna pushes back on the industry's rush to…
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