Found a research on GitHub about analyzing AI articles content on the BBC. Researchers checked thousands of articles for patterns that indicate AI usage.
I thought that it might me a good idea to build kind of a browser extension to flags potential AI content as you browse. Like you don't upload conttent to detector, but you open a page and a detector checks it in real time, without sending data to external servers.
But I'm not sure, pattern matching be sufficient or do you need ML models running locally? And probably false positive rates would be awful, right?
Has anyone tried building or using something like this? Is this even worth prototyping or if the accuracy would be too unreliable
Here's the GitHub, I mentioned: https://github.com/isfakeai/bbc-ai-content-analysis
They also published a detailed report breaking down their methodology and findings.