this post was submitted on 01 Nov 2023
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Large language models (LLMs) like GPT-4 can identify a person’s age, location, gender and income with up to 85 per cent accuracy simply by analysing their posts on social media.

But the AIs also picked up on subtler cues, like location-specific slang, and could estimate a salary range from a user’s profession and location.

Reference:

arXiv DOI: 10.48550/arXiv.2310.07298

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[–] [email protected] 46 points 1 year ago (9 children)

You can also do that without AI. We've had metadata analysis for a while now.

[–] [email protected] 10 points 1 year ago

As is typical, this science reporting isn't great. It's not only that AI can do it effectively, but that it can do it at scale. To quote the paper:

"Despite these models achieving near-expert human performance, they come at a fraction of the cost, requiring 100× less financial and 240× lower time investment than human labelers—making such privacy violations at scale possible for the first time."

They also demonstrate how interacting with an AI model can quickly extract more private info without looking like it is. A game of 20 questions, except you don't realize you're playing.

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