3 ms·

I like the image duplication detector but I am sceptical that they solved the issue of detecting AI-generated text

• anonzzzies 2y ago
  Papers even sneaked through when the AI generated text was not even readable. Anyway; this is a very hard problem which is getting harder all the time: so many startups fighting detection.
• pvaldes 2y ago
  AL generated text is not the problem. Researchers can use it to cheat, but also to express their own ideas in a better English. Scientific language is 'dry' and limited, so the same phrase structure can be (and will be) used in many different papers by different authors, just with minor changes that suit the theme. Even more, scientific articles repeat a lot of their content, just because this is how things work in science. Most researchers in a field would describe the same method exactly in the same way, just applied to different samples. Because is the same and just providing a link can be inconvenient if your readers can't access to that article. Articles in the same field will share also a lot of its bibliography. AI would have a really hard time understanding why including the same cite in many articles is not plagiarizing or a problem. AI would need to be able to split the text in two parts. A part where to have a high percentage of similarities is acceptable, and other part where the opposite is the correct outcome. Both parts would be spread here and there among different and non-consecutive paragraphs, so is not a trivial task. Blocking an article because a phrase has been used previously would be like forbidding musicians to use the word "love" in the lyrics of their songs from now on.