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Seattle Times and Newsday Join Rising Wave of Lawsuits Targeting OpenAI and Microsoft Over AI Training

Seattle Times and Newsday Join Rising Wave of Lawsuits Targeting OpenAI and Microsoft Over AI Training

In federal court, the Seattle Times and Newsday each launched lawsuits claiming that OpenAI and Microsoft illicitly collected their articles to train generative AI. The filings assert that the companies duplicated copyrighted news material to enhance large language models behind products like ChatGPT, violating the papers' copyrights and stripping them of licensing income.

The actions were filed in the U.S. District Court for the Western District of Washington and the Southern District of New York, respectively. The newspapers allege that the defendants deployed automated scrapers to amass thousands of pieces, pay‑walled ones included, and fed that content into the training sets that support OpenAI's models, now offered by Microsoft via Azure. The complaints request an injunction to stop further use of the papers’ content, along with monetary damages and a portion of any profits generated by the AI offerings.

The lawsuit highlights the enduring clash between the open‑internet methodology for constructing AI systems and the IP rights of creators. U.S. copyright statutes consider copying a protected work without permission to be infringement, even if the material is later altered by machine‑learning processes. The defendants contend that their actions fall under “fair use,” arguing the use is transformative and does not supplant the original stories—a defense that courts have applied unevenly of late.

The Seattle Times and Newsday join an expanding roster of publishers suing over the matter. Earlier in the year, the Associated Press, Reuters and several other outlets launched comparable suits against OpenAI, sparking extensive discussion in the publishing sector about safeguarding digital material in an AI‑centric era. Those prior cases have underscored how hard it is to demonstrate that particular excerpts were incorporated into training sets, due to the secrecy surrounding proprietary datasets.

The actions reflect a wider anxiety among journalists that AI applications may copy news articles word‑for‑word or produce summaries that divert traffic from the original sites. News outlets maintain that such readership loss directly erodes advertising and subscription revenue, endangering the fiscal health of newsrooms already battling shrinking incomes.

Both OpenAI and Microsoft have refused comment on the ongoing case, yet they have earlier claimed their models rely on publicly accessible data and that they honor copyright statutes. In public remarks, OpenAI highlighted its continued work on “responsible AI” initiatives, noting that it is looking into licensing deals with content owners.

Legal commentators observe that the decision will probably depend on judicial interpretation of the fair‑use doctrine as applied to machine‑learning training. Some forecasters suggest that a verdict siding with the publishers could compel AI firms to secure licensing agreements, whereas others caution that overly stringent rulings could stifle innovation in the fast‑moving sector.

Should the courts issue the sought injunctions, OpenAI might have to remove the contested content from its training pipelines and possibly pay the newspapers for prior usage. In contrast, a dismissal could encourage other tech companies to keep aggregating online material with little supervision. Either outcome holds major consequences for the equilibrium between open data environments and creators’ rights.

These lawsuits surface as lawmakers intensify examination of AI’s effects on intellectual property, privacy and misinformation. As the legal battle unfolds, both the publishing world and the tech industry are monitoring developments, recognizing that the ruling could establish a precedent that defines the future interaction between news outlets and artificial‑intelligence creators.

Source: techcrunch
TechRadar Desk — Editorial desk.

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