Use of public content to train AI

22 November, 2024
public content to train AI

A U.S. court has issued a landmark ruling in favor of OpenAI in a case addressing the use of copyrighted content in the training of artificial intelligence models. The decision, which could set a precedent for the technology industry, holds that the use of public content in these processes does not necessarily constitute copyright infringement, distinguishing it from the direct use or verbatim reproduction of protected material.

The case was brought by Raw Story Media and Alternet Media, who accused OpenAI of using thousands of their articles without authorization to train its model, alleging that this practice violated their copyrights by not including authorship information. However, the court found that this use does not represent a “concrete harm” under current law and that the plaintiffs failed to demonstrate direct harm, an essential requirement to proceed with their claim. In addition, the ruling concluded that it was not possible to claim financial compensation in the absence of evidence of a tangible impact on the content owners.

This ruling, considered a milestone in copyright regulation in the digital age, underscores the importance of defining the rules for the use of large volumes of public information by Artificial Intelligence systems. Although this decision benefits OpenAI, the case is not unique in its kind; the growing complexity of intellectual property-related litigation in the field of Artificial Intelligence suggests that this legal debate could escalate to the United States Supreme Court, where even broader standards for the future of this technology could be defined.

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