Question

key causes for bias in ai include biased training data, the way a prompt is written, decisions by ai creators, and ____ groups in the data.

Explanation:

To determine the missing term, we analyze the context of AI bias causes. The sentence structure and known causes (biased training data, prompt writing, AI creators' decisions) suggest the missing part relates to data representation. A common cause of AI bias is the underrepresentation (or similar terms, but "underrepresentation" fits the blank's context and length) of certain groups in data, as insufficient or imbalanced representation of groups in training data leads to biased outputs.

Answer:

underrepresentation