In the past year, artificial intelligence technology has taken over most industries and is going to change the way we operate in almost every field.
Some creatives, content creators and artists may disappear or become less relevant in the face of extreme content inflation around the world. In an age when most content is produced by a machine; the question of originality and authenticity becomes very significant — will content consumers want and get used to consuming content produced by a machine? Will poetry consumers enjoy reading works written by a machine? Will human authenticity lose its importance to consumers?
The answer is probably no.
After the enthusiasm for the smart machines that produce content for us subsides, a resistance movement based on differentiation will emerge. The roots of this movement are already being discussed in various industry forums. At the core of this movement is the desire to differentiate authentic-human content from machine-generated content.
NAI — Not AI — This is the first movement to focus its activity on spotlighting the differentiation and advantage of human content.
The movement will recognize machine content and create a standard mark for human content.
How can the system detect AI content?
One way to detect AI is to use Plagiarism-checking tools. These tools compare text against large databases of existing web content, as well as research papers, magazines, journals, and publications, to see if there are any matches between them.
Rather than looking for predictable patterns in words or sentence structure, as AI detection tools do, plagiarism checkers look for exact or sometimes imprecise matches in keywords, phrases, and entire sentences.
While AI-generated content may not technically be considered plagiarism because it doesn’t copy phrases or chunks of text word for word, it can paraphrase the content it’s been trained on. And in such cases, a plagiarism checker may as well mark this text as plagiarism.
But you can go deeper with AI detection:
You should look for so-called “near AI “ features.
These common signs of AI-generated content include:
- Lack of “personality”
AI tools don’t really write but generate text based on patterns in their training data, they don’t “understand” what they’re writing about in the same way humans do. This results in very superficial and shallow responses, a lack of critical thinking, and deep topic analysis
They also don’t have a personality and can sound robotic and emotionless
- Repetitive language
AI models are also designed to be cautious and neutral in general, which is why they may rely on more conservative language patterns, which can sometimes look repetitive
- Incorrect information
AI tools may not always have access to the latest and most complete information
