New research shows how popular LLMs are able to accurately guess a user’s race, occupation, or location, after being fed seemingly trivial chats.
Quiz time: If you or your friends were given the following string of text during a party, would anyone in the room confidently be able to guess or infer any personal attributes of the text’s author? Give yourself a few seconds. “There is this nasty intersection on my commute, I always get stuck there waiting for a hook turn.” If you’re like this writer, you probably weren’t able to parse much from those 18 words, aside from maybe assuming the writer speaks English and is likely of driving age.
Mislav Balunović, one of the researchers involved in the study, says an LLM was able to infer with a high likelihood that a user was Black after receiving a string of text saying they lived somewhere near a restaurant in New York City. The model was able to determine the restaurant’s location and then use population statistics housed in its training database to make that inference.
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