100
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 18 Oct 2023
100 points (96.3% liked)
Privacy
31978 readers
473 users here now
A place to discuss privacy and freedom in the digital world.
Privacy has become a very important issue in modern society, with companies and governments constantly abusing their power, more and more people are waking up to the importance of digital privacy.
In this community everyone is welcome to post links and discuss topics related to privacy.
Some Rules
- Posting a link to a website containing tracking isn't great, if contents of the website are behind a paywall maybe copy them into the post
- Don't promote proprietary software
- Try to keep things on topic
- If you have a question, please try searching for previous discussions, maybe it has already been answered
- Reposts are fine, but should have at least a couple of weeks in between so that the post can reach a new audience
- Be nice :)
Related communities
Chat rooms
-
[Matrix/Element]Dead
much thanks to @gary_host_laptop for the logo design :)
founded 5 years ago
MODERATORS
This is the best summary I could come up with:
New research reveals that chatbots like ChatGPT can infer a lot of sensitive information about the people they chat with, even if the conversation is utterly mundane.
“It's not even clear how you fix this problem,” says Martin Vechev, a computer science professor at ETH Zürich in Switzerland who led the research.
He adds that the same underlying capability could portend a new era of advertising, in which companies use information gathered from chatbots to build detailed profiles of users.
The Zürich researchers tested language models developed by OpenAI, Google, Meta, and Anthropic.
Anthropic referred to its privacy policy, which states that it does not harvest or “sell” personal information.
“This certainly raises questions about how much information about ourselves we're inadvertently leaking in situations where we might expect anonymity,” says Florian Tramèr, an assistant professor also at ETH Zürich who was not involved with the work but saw details presented at a conference last week.
The original article contains 389 words, the summary contains 156 words. Saved 60%. I'm a bot and I'm open source!