Title: AI Detector Claims U.S. Constitution May Have Been Ghostwritten by ChatGPT, but Experts Dismiss False Positives
AI language models like ChatGPT have been making waves across different industries, from aiding in writing to offering creative suggestions. However, recent buzz around AI detectors claiming that the U.S. Constitution and even passages from the Bible were likely authored by AI has sparked both confusion and humor. Experts, however, state that these claims are false positives and shed light on the underlying issues of AI writing detection tools.
While it may be tempting to rely on AI tools for identifying AI-generated content, evidence suggests that these tools are not entirely reliable. Popular AI detectors such as GPTZero, ZeroGPT, and OpenAI’s text classifier have mistakenly labeled sections of the U.S. Constitution as likely written entirely by AI. Screenshots of these false positives have gone viral on social media, leading to jokes about the founding fathers being robots.
To understand the cause of these errors, it is crucial to grasp how AI writing detectors function. These detectors employ different methods, but they all revolve around analyzing an AI model trained on an extensive corpus of text and a set of rules to determine the likelihood of text being produced by humans or AI.
Properties like perplexity and burstiness are then utilized by the system to evaluate and classify the text. Perplexity measures how much a given text deviates from what the AI model has learned during training. Based on this measurement, the system predicts whether the text is more likely to be generated by humans or AI.
The rationale behind measuring perplexity is that AI models, like ChatGPT, draw upon their training data when generating text. If the output aligns closely with the training data, the perplexity will be low. In contrast, human writers exhibit greater variation, although they can also produce text with low perplexity, especially when emulating the formal style of law or academia.
This brings us to the crux of the matter: the U.S. Constitution. The language used in the Constitution has become so ingrained in AI models that it is mistakenly classified as AI-generated. Edward Tian, the creator of GPTZero, clarifies that these large language models are consistently trained on texts such as the Constitution, leading to this fascinating error.
The challenge lies in the fact that human writers are also capable of producing content with low perplexity. This undermines the reliability of AI writing detectors. Once again, AI technology falls short in this aspect.
In conclusion, despite AI detectors suggesting that the U.S. Constitution and biblical passages may have been written by AI, experts dismiss these claims as false positives. AI writing detection tools like GPTZero cannot be fully trusted to accurately identify text composed by large language models. The flaw lies in the capacity for human writers to produce low-perplexity content. While AI continues to make remarkable advancements, it is essential to approach its capabilities and limitations with caution and critical thinking.
Note: SEO optimization and improving Google search rankings can be done by incorporating relevant keywords throughout the article and structuring the content using headings and subheadings.
