"Word embeddings can learn gender stereotypes from text without anyone consciously programming those particular associations."
In Artificial General Intelligence, pages 178-179 of the cited Kindle edition, Togelius uses word-vector arithmetic to explain how occupational stereotypes can emerge from training data without being deliberately programmed. This connects the mathematical example to the possibility that AI outputs or decisions reproduce unwanted assumptions.
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