Thin Evidence, Thick Priors: How Language Models Substitute Identity for Missing Financial Facts
Advisory systems built on large language models should be audited at the disclosure levels users actually reach, and judged across the whole identity space rather than one attribute at a time.
Saanvi Khetan, Sankararaman Balasubramanian
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