AI writing tools are freaking awesome. They can whip up texts on just about any topic, from fiction to nonfiction, with just a few words or sentences as input. They can help us with our writing tasks, like brainstorming, editing, and proofreading. They can also inspire us to be more creative and expressive with our words.
Sure, AI writing tools are pretty cool. But they can also be used for bad things, like cheating, deceiving, or manipulating people. They can produce texts that are not original, authentic, or truthful. This can make us question the credibility and validity of the texts we read online or offline. So, it’s important to be aware of the potential dangers of AI writing tools and to use them with caution.
How can we tell if a text is written by a human or an AI?
One possible solution is to use AI detection tools, which are supposed to identify and flag texts that are generated by AI models. These tools claim to use various techniques, such as looking at the language features, the logical coherence, the factual accuracy, and the stylistic patterns of the texts, to measure their probability of being AI-written. Some examples of these tools are GLTR, Real or Fake, and CopyLeaks.
Are AI Detection Tools Really Reliable?
According to a recent study by OpenAI, the answer is no. The study showed that these tools have a high false positive rate, meaning that they often mistake human-written texts as AI-written. The study also showed that these tools can be easily tricked by simple tricks, such as adding typos, changing words, or inserting irrelevant sentences into the texts.
The study concluded that AI detection tools are not trustworthy enough to detect AI writing and that they may even damage the trust and confidence of human writers. The study also warned that depending on these tools may create a false sense of security and that we should not underestimate the abilities of AI writing models.
This information alone should give you a good idea of why you shouldn’t trust AI detection tools completely. However, we will further explore the topic below.
