The answer
Yes. Training data can encode stereotypes and unequal associations, which may appear in embeddings. Evaluate their effects in the intended application instead of assuming numerical representations are neutral.
How does AI determine that words such as “king” and “queen” are related?
Can learned word relationships contain social bias?
More FAQs in How does AI determine that words such as “king” and “queen” are related?
Usually there is no guaranteed human-readable coordinate for a concept such as royalty. Relevant information can be distributed across many dimensions and transformed across layers.
No. The outcome varies with the embedding model, vocabulary, normalization, and comparison method. It is an illustrative analogy, not a mathematical law of language.
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