Google no longer claims to prioritize “content written by people” in favor of quality content of any kind.
The phrase “written by people” has been removed from the current version of Google Search’s “Helpful Content Update,” which now states that Google is continually monitoring “content created for people” to determine how to rank websites.
Google’s new wording reflects its acknowledgement of AI’s importance to the creative process. However, Google isn’t happy to just differentiate AI-created material from human-created information; rather, it wants to emphasize useful content that helps consumers regardless of who created it.
Meanwhile, Google is making significant investments in artificial intelligence throughout its businesses, including as its own AI chatbot Bard and some new, experimental search tools. The company’s own strategic orientation is consistent with updating its rules.
The market leader in search remains committed to its originality, helpfulness, and personal touch reward policy for content.
According to Google’s director of Search Relations, “by definition, if you’re using AI to write your content, it’s going to be rehashed from other sites,” John Mueller said on Reddit.
The ramifications of this are obvious: as AI develops, material that is repetitious or of poor quality might still harm SEO. Content development still requires substantial input from writers and editors. Due to their propensity for hallucination, AI models pose a threat when humans are removed from the equation. While some of the mistakes may be humorous or even insulting, others may have serious financial and even life-threatening consequences.
Google seems to be punishing the usage of AI for rephrasing or summarizing text and has its own methods for identifying content created by AI.
Using a machine learning model, “this classifier process is fully automated.” Google claims, implying the company use AI to identify quality material and eliminate spam.
However, one of the difficulties is that methods used to identify AI content are frequently inaccurate. Recently, OpenAI scrapped its own artificial intelligence classifier because it was so inaccurate. In light of the fact that AI is difficult to identify due to the fact that models are really designed to “appear” human, the struggle between content creators and content discriminators will continue indefinitely as AI models continue to improve in terms of both power and accuracy.
In addition, it’s possible to cause model collapse while training AI using AI-generated content generations.
According to Google’s claims, it is not attempting to replicate AI-generated data but rather to detect it in order to appropriately reward human-written information. This method is more analogous to training a specialized AI discriminator, in which one AI model attempts to produce a natural-looking result while a second model attempts to determine if the first result was genuine or not. Generative adversarial networks (GANs) already employ this method.
As AI becomes more common, standards will develop over time. Google seems to care more about the overall quality of material than it does about distinguishing between human and machine-made content at the moment.
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