Researchers from Harvard University and MIT-IBM Watson Lab have created an AI-powered tool for spotting AI-generated text. Dubbed Giant Language Model Test Room (GLTR), the system aims to detect whether a specific piece of text was generated by a language model algorithm. You can give the tool a spin here. Don't miss Hard Fork Summit in Amsterdam With AI and natural language generation models already employed to produce fake news and spread misinformation, GLTR has the potential to distinguish machine generated text from human-written text to a non-expert reader. According to results shared by the researchers, GLTR improved the human detection-rate of fake text from 54 percent to 72 percent without any prior training.

With advances in technology and easy access to paid and free tools to create spin-offs or rewrite content, people can now use Artificial Intelligence (AI) to make fake news, fabricated reviews, and fictitious social media accounts and thereby spreading misinformation. However, an AI can now also detect fake written material! This AI tool named Giant Language model Test Room or GLTR was developed by a collaborative effort of Harvard University and MIT-IBM Watson Lab researchers and developers whose goal was to teach information and raise awareness about generated text. The GLTR tool can determine whether a text is written by a human or is an AI spin generating tool by detecting statistical patterns. The AI text generating programs use an algorithm and specific code to detect data spinning patterns.