Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
How AI Translation Models Learn Bias from Bible Text
Episode 129 explores a surprising source of gender bias in AI language models: parallel Bible translations. Lucas and Luna examine how training multilingual AI on translated scripture—where 'man' often defaults to 'human' and pronouns skew male—reinforces outdated gender roles. They cite a 2024 Stanford study that found 70 percent of occupation-to-pronoun associations in a popular translation model mirrored biblical gender distributions, with 'prophet' and 'priest' mapping to male pronouns 96 percent of the time. The episode also discusses how researchers are now using gender-neutral…
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