Artificial Intelligence (AI) has significantly impacted various industries, including content creation. Companies, employees, and contractors use generative AI tools like GPT-3 to streamline tedious processes. Despite this, AI-generated content often lacks style, emotion, character, and can produce inaccurate information, calling for a balance between human and AI-written content.
To distinguish AI-generated content from human-written text, six techniques can be applied. First, proofreading the content. AI-generated content can be repetitive and impersonal. Using AI for real-time events or recent information may lead to inaccuracies, given that generative AI tools draw from historical data. Instead of relying solely on AI for tasks like product descriptions, tools like WordLift can optimize structured data to boost traffic.
Second, check the content’s tone. AI-generated text can come off as flat and lacking personal opinion or emotion. For instance, while AI can provide accurate information on a topic, it lacks the personality and relatable tone that a brand might want to communicate.
Third, utilize an AI content detector. These tools are trained on human and AI-generated text to differentiate between them by measuring content perplexity – how predictable it is, and burstiness – variation in sentence length and structure.
Fourth, fact-check the content. Advanced AI models can generate realistic and coherent content, so it’s necessary to verify if the information aligns with factual data.
Fifth, assess for repetitive patterns. AI models tend to repeat themselves in different wordings or phrasings as they are designed to be cautious and neutral.
Lastly, run a plagiarism check. Since AI models are trained on content written by people all over the web, some AI content may consist of identical phrases or sentences from other publishers.
In summary, while AI content detectors are handy, they aren’t entirely accurate. Thus, training the human eye to pick up on AI-written text using these techniques can greatly improve the reliability and authenticity of content shared with audiences.
