Charting New Frontiers: Stanford University’s Pioneering Study on Geographic Bias in AI

The issue of bias in LLMs is a critical concern as these models, integral to advancements across sectors like healthcare, education, and finance, inherently reflect the biases in their training data, predominantly sourced from the internet. The potential for these biases to perpetuate and amplify societal inequalities necessitates a rigorous examination and mitigation strategy, highlighting […]

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