Whose doctor does the AI recommend? An algorithm audit of reputation and demographic signals in large language model-assisted physician choice
Patients increasingly ask large language model (LLM) assistants which doctor to see, making these systems AI infomediaries: algorithms that intermediate one person's choice among other people and thereby decide, silently and at scale, which physicians become visible. We report a prespecified randomized algorithm audit of what causally moves those recommendations. Seven models (six open-weight; gpt-4o-mini) each chose among five synthetic family-medicine physician cards whose attributes were independently randomized across 3,024 choice sets, three patient personas, nine prompt paraphrases and n
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- LinkedLinked via arxiv author · 85%Syeda Anshrah Gillani →
“Whose doctor does the AI recommend? An algorithm audit of reputation and demographic signals in large language model-ass”
- LinkedLinked via arxiv author · 85%Mirza Samad Ahmed Baig →
“Whose doctor does the AI recommend? An algorithm audit of reputation and demographic signals in large language model-ass”