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Evidence That Google Detects AI-Generated Content - adtechsolutions

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Evidence That Google Detects AI-Generated Content


A sharp-eyed Australian SEO spotted indirect confirmation of Google’s use of AI detection as part of its search rankings that had been hidden in plain sight for years. While Google is pretty transparent about its content policies, new data from Google’s LinkedIn profile adds a bit more detail.

Gagan Gotra chirped:

“Key Google employee Chris Nelson of his LinkedIn search quality team says he manages a global team that builds ranking solutions as part of Google Search’s ‘artificial intelligence-generated content discovery and processing’.”

Google Employee Content Policy and Artificial Intelligence

Googler Chris Nelson works at Google in the search ranking department and is listed as a co-author of Google’s AI-generated content guidelines, which means you know something about it

Relevant work experience at Google is listed as:

“I manage a large, global team that builds ranking solutions as part of Google Search and manages the following areas:

– Prevention of manipulation of ranking signals (eg against abuse, spam, damage)
– Enable qualitative and quantitative understanding of quality issues (eg user interactions, insights)
– Troubleshoot issues with new content (e.g. detection and processing of AI-generated content)
-Reward satisfying and useful content”

There are no research papers or patents associated with a search ranking under his name, but that’s probably because his background is in business administration and economics.

What may be of particular interest to publishers and digital marketers are the following two sections:

1. He states that he is engaged in “discovery and treatment of content generated by artificial intelligence”

2. It provides “qualitative and quantitative understanding of quality issues (eg user interactions, insights)”

Although part of user interaction and insight may seem unrelated to the detection and treatment of AI-generated content, part of user interaction and insight in the service is understanding search quality issues, which is related.

His role is defined as evaluating and analyzing quality issues in Google’s search ranking department. “Quantitative understanding” refers to the analysis of data, and “qualitative understanding” is the more subjective part of his work that can relate to insights, understanding the “why” and “how” of observed data.

Co-author of Google’s AI-Generated Content Policy

Chris Nelson is listed as a co-author of Google’s AI-generated content guidelines. The guidelines do not prohibit the use of artificial intelligence for published content, suggesting that it should not be used to create content that violates Google’s spam guidelines. This may sound contradictory because AI is practically synonymous with automated content that is scaled by Google historically as spam.

The answers lie in the nuances of Google’s policy, which encourages content publishers to prioritize user-first content over a search engine-first approach. In my opinion, putting a strong focus on writing about the most popular search queries in a topic, rather than writing about a topic, can lead to search engine-first content, as this is a common approach of sites I’ve audited that contain relatively high quality content. but lost ranking in google updates 2024.

Google’s (and possibly Chris Nelson’s) advice for those considering AI-generated content is:

“…however content is produced, those who want success in Google search should strive to produce original, high-quality, human-targeted content that demonstrates the qualities of EEAT.”

Why doesn’t Google ban AI-generated content immediately?

Google’s documentation co-authored by Chris Nelson notes that automation has always been a part of publishing, such as dynamic insertion of sports scores, weather forecasts, scaled meta descriptions, and date-dependent content and entertainment-related products.

The documentation states:

“…For example, about 10 years ago, there was understandable concern about the rise of mass-produced human-generated content. No one would think it reasonable for us to ban all human-generated content in response. Instead, it made more sense to improve our systems for rewarding quality content, which we have done.

…Automation has long been used to generate useful content, such as sports scores, weather forecasts and transcripts. …Automation has long been used in publishing to create useful content. AI can assist and generate useful content in exciting new ways.”

Why does a Googler disclose AI-generated content?

The filing, which Nelson co-authored, doesn’t specifically state that Google doesn’t differentiate between how low-quality content is generated, which seems to contradict his LinkedIn profile, which states that “discovering and processing AI-generated content” is part of his job.

The AI-Generated Content Guidelines state:

“Poor quality content is not a new challenge for Google search. We’ve been dealing with poor quality content created by humans and automation for years. We have systems in place to determine the usefulness of content. …Our systems continue to improve on a regular basis.”

How do you reconcile that part of its job is to detect AI-generated content and Google’s policy that it doesn’t matter how low-quality the content is generated?

Context is everything, that’s the answer. Here’s the context of his job profile:

Addressing issues with new content (e.g. detection and treatment of AI-generated content)”

The term “new content issues” refers to content quality issues that Google has not encountered before. This refers to new types of AI-generated content, possibly spam, and how to detect and “treat” it. Given that the context is “detection and treatment”, it’s quite possible that the context is “low-quality content”, but it wasn’t specifically stated because he probably didn’t think his LinkedIn profile would be analyzed by SEOs to better understand how Google detects and handles content generated by artificial intelligence (meta!).

Guidelines authored by Chris Nelson of Google

The list of articles published by Chris Nelson shows that he may have played a role in many of the most important updates of the past five years, from useful content updates, website reputation abuse to discovering the first AI-generated content.

List of articles authored by Chris Nelson (LinkedIn profile)

Updating our website reputation abuse policy

What web developers should know about our March 2024 major update and new spam policy

Google Search Guidelines on AI-Generated Content

What creators should know about Google’s August 2022 Useful Content Update

Featured Image Shutterstock/3rdtimeluckystudio



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