Wikipedia Warns: Does AI Training Threaten Free Knowledge?

TVS News AI, editorially supervised, presents Wikipedia Warns: Does AI Training Threaten Free Knowledge.

A trial before the New York District Court could change the rules governing how AI systems work with protected texts. The Wikimedia Foundation has therefore urged the court to interpret fair use with particular care.

The organization manages Wikipedia, one of the internet’s major knowledge archives. For Wikimedia, the focus is not solely on whether individual training data are legally permissible. It is also a question of whether copyright, free licenses and the work of volunteers are appropriately respected.

How you use the internet every day ultimately depends on how openly knowledge continues to be shared. It is therefore worth looking at the foundation’s position — and why it is explicitly not simply siding with either party.

Why Wikimedia Intervened in the New York Case

Wikimedia submitted a filing to the court as an “amicus curiae”. This means the foundation is not taking the side of either party, but is providing the court with an independent assessment of the legal dispute.

The starting point is the lawsuit filed by “The New York Times” against OpenAI and Microsoft. The Wikimedia Foundation wants to prevent the case from being treated as a simple choice between “copying is prohibited” and “AI may use everything.”

The central concern is that the parties’ positions push for extremely broad and simplified applications of the doctrine of fair use. According to ABC.es, an unguarded outcome could block innovative applications or, conversely, create a blank cheque to ignore licensing terms.

Wikimedia’s Position on AI Training and Full Texts

Wikimedia does not categorically rule out training with protected works. The foundation considers this use a legitimate purpose of fair use, provided the system produces something new with it. At the same time, it distinguishes itself from any blanket equation of AI training with mere reproduction.

Wikimedia’s criticism centers on cases where chatbots reproduce complete paragraphs without naming the authors or observing free licenses. According to the foundation, this form of output violates the required rules for dealing with protected and freely licensed works.

A mistake that fails to apply the principles of fair use carefully could endanger the sustainability of free knowledge and choke the development of open-source technologies.

Wikimedia therefore takes a more nuanced position than a blanket yes or no. Training and reproduction are not treated as identical actions: innovation can, in principle, be permissible, while full-text outputs without attribution or observance of licenses remain problematic.

Why Free Licenses and Attribution Are Central to Wikipedia

Wikipedia relies on contributions from its volunteer community. Its content is shared under open rules and reviewed by people. In AI systems, Wikimedia sees a dual effect: access to knowledge can be expanded, while chatbots simultaneously direct readers to the original pages and weaken the volunteer work behind the platform.

Bernadette Meehan, CEO of the Wikimedia Foundation, sees a “mutual benefit and shared responsibility” for the entire information ecosystem in a balanced approach. The middle ground proposed by the foundation: AI may expand access to knowledge, but in doing so, it must respect the people, contributors and communities that make reliable knowledge possible.

Expanding access to knowledge through AI is a powerful goal, but the people, contributors and communities who make reliable knowledge possible must be respected.

What the Decision Could Mean for Free Knowledge

The dispute raises a central question: How much may AI learn from existing knowledge, and what obligations arise when it outputs the results? According to ABC.es, Wikimedia warns of two opposing risks — rules that are too narrow and slow innovation, and rules that are too lax and erode licenses and authorship.

For Wikipedia itself, the case is therefore more than a single trial. The platform is regarded as one of the largest data sources for AI training. If large parts of the user base interact only with chatbots in the future, the benefits could grow. At the same time, the community that creates, reviews and makes content available under open licenses could become weaker.

The Wikimedia Foundation’s central message is therefore: AI can expand access to knowledge without undermining the rules of free knowledge. Whether and how the court in New York adopts this balanced approach will be decisive in determining how openly content can be used, quoted and redistributed for training in the future.

Extra value for you: The detailed report from ABC.es summarizes the Wikimedia Foundation’s position, its criticism of blanket rulings and its proposal for dealing with AI.