News: Blocking AI-Generated Content

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Developers

Blocking AI-Generated Content

The Widelands Development Team has passed a resolution to reject AI-generated content contributions (code, graphics, music, and others) to the Widelands source code and repositories.

We hold that AI-generated content generally stands on dubious ethical and legal grounds, as it violates the copyright of creators whose work was scraped for the AI's training data set without their permission and without due attribution. Also, we find that it is frequently of low overall quality and/or is overly generic and fails to embrace requirements specific to Widelands.

Pull requests that have been generated by AI may in the future be closed without review.

Widelands is created by people, for people.

The change does not impact add-on uploads, which are each add-on author’s own responsibility, although such add-ons may be moderated more critically by the add-on server maintainers.
Translations are also not in the scope of this policy, and every language team can define its own policy with regard to machine translation.

Read the policy’s discussion thread here.

4 comments Posted by Nordfriese on 2026-02-20, 10:00 UTC+1.0

Comments on this Post:


Ron_of_Nord 		Published: 2026-03-04, 05:23 UTC+1.0

I absolutely agree with this policy, Wideland s For people by people and should always remain so. As I have tested many on line AI engines and found them all to generate a lot of incorrect code, I would hate to see Widelands go down that path. So it's a +5 from me for this policy

Momo 		Published: 2026-04-16, 13:07 UTC+2.0

Totally onboard!

hessenfarmer 		Published: 2026-07-23, 09:02 UTC+2.0

This is an interesting article from codeberg e.V on the topic
https://blog.codeberg.org/protecting-our-floss-commons-from-llms.html

Dalaiovich 		Published: 2026-08-25, 20:01 UTC+2.0

I totally agree with this ( even though the LLM might do things better than me, I'm completely jaded by it ). How in principle are you going to enforce this? someone might write code that looks LLM based but isn't and vice-versa - LLM can write code that looks as if a person wrote it.

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