Can We Spot AI-Written Text?

What is it about?

Large language models (LLMs) like ChatGPT can now produce text that looks very much like it was written by a human. This is impressive, but it also means people might not be able to tell if what they're reading online is real or AI-generated. This could make it hard to trust online information. Our research explores how to detect text created by LLMs, essentially building a "fake text detector." We trained a computer model using a mix of real text and text generated by ChatGPT, a powerful LLM. We then tested our model on new text samples to see if it could accurately distinguish between human and AI-generated writing. The goal is to help maintain trust in online content by developing tools that can identify AI-generated text.

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Photo by Nahrizul Kadri on Unsplash

Photo by Nahrizul Kadri on Unsplash

Why is it important?

With AI-generated text becoming more and more realistic, it's crucial to develop ways to identify it. People can be deceived by fake text, leading to misinformation and distrust. Our work shows that computer models can be much better at spotting AI-generated text than humans. This highlights the urgent need for automated detection tools to help us navigate the increasingly complex landscape of online information. By developing effective detection methods, we can help ensure that people are aware of when they are interacting with AI-generated content and can make informed decisions about the information they consume. This research is particularly timely given the rapid advancements in LLMs and their potential impact on society.