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From Chat-GPT to Midjourney, artificial intelligence (AI) tools have flooded online spaces with generated content, causing internet users to doubt the authenticity of digital content. While AI resources have proven beneficial to streamlining workflows and optimizing efficiency in certain industries, countless users are more concerned with originality in the content they consume. Artists, creatives, and writers have pointed to the plagiaristic nature of AI, which developers train on existing content available online, including their own work.<\/span><\/p>\n The Role of an AI Detector for Creatives<\/b><\/p>\n As digital authenticity comes into question amid the rise of AI technology, both creatives and everyday users have increasingly turned to the <\/span>AI Detector<\/span><\/a> as a means of protecting themselves online. It is a fact that AI is only becoming more effective at mimicking human-made content, with humans themselves becoming less reliable at identifying AI-generated content at a glance. AI detectors are tools for identifying AI content, using the same AI technology to do so.<\/span><\/p>\n How Does an AI Detector Work?<\/b><\/p>\n AI detectors are trained using the same technique as the average AI generator, but with a very different goal. Rather than using a single large online dataset to grow and improve, an AI detector is trained on both human-made and AI-generated content so that it can distinguish between characteristics of the two. Effectively, when an AI detector is presented with a piece of AI-generated content, it will identify whether that is the sort of content it would have created.<\/span><\/p>\n AI-Generated Text Detectors<\/b><\/p>\n Most AI detectors focus on AI-generated text, since models like ChatGPT are some of the most prevalent AI tools online. In order to distinguish between AI-generated and human-written text, an AI detector is trained on datasets of both. This process enables the AI detector to detect the characteristics that best differentiate AI-generated text from human-written text. At this stage of the technology, perplexity and burstiness are the two main characteristics which an AI detector looks for in a given text.<\/span><\/p>\n Perplexity and Burstiness<\/b><\/p>\n Perplexity refers to the predictability of word choice throughout a text. If a word is confusing or has the potential to hinder the reader\u2019s understanding, an AI will likely avoid it in favor of simple and consistent word choice. The more repetitive and simple a text\u2019s word choice is, the more likely it is to have been AI generated.<\/span><\/p>\n Burstiness is similar, referring to the variation of sentence length and structure. Humans vary the length of sentences and switch up the structure far more frequently than AI, which favors streamlined and consistent sentences. The more consistent a sentence\u2019s length and structure is, the more likely it is to have been AI generated.<\/span><\/p>\n Concerns of Plagiarism in AI-Generated Content<\/b><\/p>\n Of course, plagiarism is another major factor in identifying whether a text was AI-generated. Since AI-generated content is based on existing media, an AI tool is more likely to copy or directly plagiarize something which already exists. AI Detect LLC\u2019s AI detector features plagiarism check integration, not only checking your own original content for plagiarism, but potentially identifying inauthentic AI-generated content.<\/span><\/p>\n The problem of plagiarism is closely intertwined with AI-generated content, with numerous creatives raising concerns over the unlawful appropriation of their work. In fact, lawsuits against AI art generators have emerged in recent years which could determine the future of both AI-generated and human-made art.\u00a0<\/span><\/p>\n Promising First Steps for Creatives Against AI<\/b><\/p>\n