Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
How AI Models Learn Bias from Satellite Data
In this episode of AI Ethics with Fexingo, Lucas and Luna explore a surprising source of algorithmic bias: satellite imagery. They discuss a 2025 study from Stanford's Center for International Development that found object detection models trained on satellite photos systematically misidentify certain infrastructure in low-income and rural areas—like mislabeling solar panels as rooftops or failing to detect paved roads in regions with darker soil. The hosts walk through how training data from high-res urban environments creates a 'geographic blind spot,' leading to downstream impacts on…
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