In an amicus brief filed in The New York Times' lawsuit against OpenAI and Microsoft, the Wikimedia Foundation urged the court to establish a balanced fair use standard for artificial intelligence. The organization warned that an absolute victory for publishers could restrict AI tools that Wikipedia editors rely on to combat vandalism and identify copyright infractions. Meanwhile, an unqualified win for tech firms could divert essential web traffic away from human-curated resources. To address this friction, Wikimedia proposed permitting model training under fair use while requiring licenses for chatbots that directly replicate copyrighted text.
Key points
Training artificial intelligence models on publicly accessible text should be protected a…: Training artificial intelligence models on publicly accessible text should be protected as fair use if the resulting systems are transformative.
Chatbots that reproduce direct copies of original materials should be required to obtain…: Chatbots that reproduce direct copies of original materials should be required to obtain proper licenses rather than claiming fair use.
A sweeping legal victory for either traditional publishers or artificial intelligence dev…: A sweeping legal victory for either traditional publishers or artificial intelligence developers poses substantial risks to the open internet ecosystem.
Sources checked by our analysis pipeline: 1
The Wikimedia Foundation is staking out a middle ground in a group of landmark AI copyright cases, pushing courts to legally protect large language models (LLMs) training on copyrighted work — but not chatbots regurgitating that work to users. An overly black-and-white ruling, it says, could either deprive Wikipedians of useful AI-based tools or endanger the open web.
Wikipedia’s operator says a bad AI copyright ruling could threaten the open web
In the NYT’s case against OpenAI, the Wikimedia Foundation says training AI should be fair use — but regurgitating articles shouldn’t.
In the NYT’s case against OpenAI, the Wikimedia Foundation says training AI should be fair use — but regurgitating articles shouldn’t.
In an amicus brief filed Friday, the nonprofit behind Wikipedia weighed in on a set of lawsuits pitting publishers including The New York Times against OpenAI and Microsoft, taking neither side. “Wikimedia is concerned that the parties’ positions in this case push for overbroad and simplified applications of the fair use doctrine” around AI, the organization says in its legal filing. A nuance-free victory for publishers, it…
Escalating workplace demands are driving professionals to severe mental exhaustion as they sift through vast volumes of machine-generated text and balance parallel workflows. Many employees feel compelled to endure this intense cognitive strain simply to maintain productivity standards and retain their positions. In response, technical workers are shifting toward rigid operational frameworks to supervise automated tools while managing persistent architectural flaws.
Advocacy and developmental experts are raising alarms as millions of young people increasingly lean on digital companions during critical developmental windows. While students primarily deploy these platforms to manage academic workloads, researchers observe a troubling link between emotional reliance on bots and adverse psychological conditions. This rapid integration into daily life suggests that digital coping mechanisms may carry unintended consequences for vulnerable youth.
The streaming platform plans to expand its monetization strategy by giving listeners creative tools to alter music directly within the service. This upcoming feature requires the platform to negotiate complex intellectual property rights with rightsholders before enabling user-generated audio modifications. If successfully deployed, it could open a brand-new recurring revenue channel alongside traditional streaming subscriptions.