Positive triggering method reduces nationality bias in large text generators

Humans aren't the only ones learning toxic ideas online. New research led by Penn State researchers reveals that large language models that use internet files to learn how to respond to user prompts about different countries worldwide repeat biased ideas—both positive and negative—found online.

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