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Unredacted Filings Expose AI Training Dispute Over Scraped News

Unredacted Filings Expose AI Training Dispute Over Scraped News
New York Times lawsuit reveals how OpenAI, Microsoft scarped news for AI training · firstpost.com

The New York Times is suing OpenAI and Microsoft over how their AI systems used news articles.

New court papers describe very large collections of news stories used for training.

The papers also allege that some researchers accessed articles protected by a paywall.

Microsoft and OpenAI reportedly worried that AI answers could reduce visits to news websites.

One Microsoft analysis found much lower click-through rates from Copilot than from regular Bing search.

The Times says this could hurt the business that pays for journalism.

OpenAI and Microsoft have not necessarily agreed with all of the claims in the filing.

A court will decide how much these facts matter and whether the use of the articles was legal fair use.

Key facts

Case
The New York Times’ copyright dispute with OpenAI and Microsoft
Mid-training datasets
The Times says they contained more than 91,692 copies of works from The New York Times, The Daily News, and the Center for Investigative Reporting
Common Crawl dataset
The Times alleges it contained more than two million documents originating from nytimes.com
Project Mango
The Times says it included at least 160,903 distinct works belonging to publishers involved in the case
Copilot traffic
Microsoft analysis reportedly found click-through rates to The Times were as much as 93% lower than with conventional Bing search
Paywall allegation
The filing says an OpenAI researcher described a method for bypassing The New York Times’ paywall
Legal question
The court must assess whether the alleged uses of copyrighted news material qualify as fair use

Sources

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