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Google can train search AI with web content even after opt-out

Google can train search AI with web content

By Md ShakhawatPublished 9 months ago 3 min read

Google has updated its policies to allow the use of publicly available web content, including content from websites that have opted out of being crawled for AI training, to train its artificial intelligence (AI) models, a move that has sparked controversy throughout the digital ecosystem. Consent, data ownership, and the future of web publishing are all important issues that this change has raised.

Using tools like the robots.txt file, website owners have been able to control how search engines interact with their content for years. Webmasters could prevent Google and other bots from indexing their content or using it to train AI systems by adding specific instructions to this file. When it comes to AI training, Google's new policy, however, appears to weaken the effectiveness of such safeguards.

Google states in the updated policy that it may improve its AI models, including its search-related large language models (LLMs), by utilizing publicly available content from the open web. Google reserves the right to train general-purpose models using content that remains publicly accessible, even if a website chooses not to be indexed in search results or included in the training of specific AI systems.

The implications of this policy are significant. Google argues, on the one hand, that making use of data that is freely available to the public helps improve the quality and accuracy of its AI systems, especially in search, where users expect responses that are more precise and nuanced. By making the search process quicker, more intelligent, and more individualized, these enhancements could theoretically be to the users' advantage.

However, critics contend that this strategy restricts content creators' freedom of choice. If their content is still accessible on the open web, publishers who explicitly choose to block AI crawlers are, in effect, being overruled. Many are concerned that this will set a precedent in which the requirements of tech giants will take precedence over those of individual publishers, researchers, or creatives who may wish to maintain control over the use that is made of their works.

Concerns have also been expressed by legal experts. The use of such data for training commercial AI systems falls into a legal grey area, despite the fact that content that is publicly available is not covered by copyright in the same way that content that is private is. Google's position may soon be put to the test in court, as there are ongoing lawsuits and debates regarding whether such practices constitute fair use or copyright infringement.

In addition, the move may accelerate the "content enclosure" trend, in which creators hide their work behind paywalls, logins, or technical obfuscation to prevent AI scraping. This could reduce the amount of freely available information that has served as the internet's foundation for decades and make the open web less accessible.

As a response, some publishers and organizations have called for more precise AI usage guidelines and tools. For instance, the emergence of the AI-specific opt-out signals "noai," which is modelled after the robots.txt protocol, demonstrates the need for more nuanced control. However, their effectiveness against platforms like Google may be limited without legal support or industry consensus.

In the AI era, Google's policy update reflects a larger shift in how data is viewed: not just as information to be accessed, but as machine learning's raw material. The conflict between innovation and consent persists, despite the company's continued emphasis on improving products for users.

The significance of establishing ethical boundaries and observing user preferences will only increase as generative AI becomes more deeply integrated into everyday products like search engines and writing assistants. The decision made by Google demonstrates the urgent requirement for consent mechanisms, transparency, and possibly even regulation to strike a balance between the interests of technology companies and those of the general public.

Contemporary ArtTechniquesGeneral

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Md Shakhawat

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