Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
How AI Models Learn Bias From Teacher Grading Data
In this episode of AI Ethics with Fexingo, Lucas and Luna explore how AI models inherit bias from teacher grading data. They examine a specific 2025 study from Stanford's Center for Education Policy Analysis that found an AI grading system trained on historical teacher-assigned grades systematically penalized students from under-resourced schools. The system inferred that students from certain zip codes were 'lower performers' because their previous grades reflected inconsistent teaching quality, not actual ability. The hosts discuss how the model amplified subjective human bias baked into…
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