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This is an information page.
It is not one of Wikipedia's policies or guidelines; rather, its purpose is to explain certain aspects of Wikipedia's norms, customs, technicalities, or practices. It may reflect differing levels of consensus and vetting. |
Artificial intelligence is used on a number of Wikipedia and Wikimedia projects. This may be directly involved with creation of text content, or in support roles related to evaluating article quality, adding metadata, or generating images. As with any machine-generated content, care must be used when employing AI at scale or in applying it where the community consensus is to exercise more caution.
When exploring AI techniques and systems, the community consensus is to prefer human decisions over machine-generated outcomes until the implications are better understood.
AI-related efforts on Wikipedia include but are not limited to:
The Objective Revision Evaluation Service (ORES) was started in 2015 as a project of the Wikimedia Foundation, and provides a revision score against machine learning models that have been trained in order to report article quality or vandalism. This is used in tools such as ClueBot NG to help immediately revert vandalism, or in evaluation tools like the Program and Events Dashboard to measure the outcomes of classwork, edit-a-thons, or organized editing campaigns.
Guidance can be found at Help:Translation#English Wikipedia policy requirements. There is a Content Translation Tool used across Wikimedia projects that can use the output of machine translation from one Wikipedia article to another, using services like Google Translate. However, on the English Wikipedia, it currently states that "machine translation is disabled for all users and this tool is limited to extended confirmed editors." As a result, only manual translation on the English Wikipedia is supported by the tool, though some users have used translation to Simple English as a workaround. Relatedly, there is a section of the Help:Translation page with the broad advice: "avoid machine translations." However, this guidance was last edited in 2016, and the state of the art for machine translation has advanced significantly since then, meriting a re-examination of that advice.
The explosion of interest in ChatGPT in 2022 has led to increased curiosity in using generative AI to help compose Wikipedia articles. The status of machine-generated text from tools such as ChatGPT is generally accepted to be public domain, so the copyright issues are not a blocker to using the generated text from a legal standpoint. These issues are generally governed by Help:Adding open license text to Wikipedia#Converting and adding open license text to Wikipedia, which advises to make sure content is adjusted for style and that reliable sources are used. Conversations on the Village Pump and in some test articles (i.e. Artwork title) have noted positive aspects of machine generated text, but a serious warning that content must be checked for facts and accuracy and never used straight from ChatGPT.
A good general page looking at the issues can be found at: Wikipedia:Using neural network language models on Wikipedia.
A major community discussion took place on Village Pump (policy) found at: Wikipedia:Village pump (policy)/Archive 179#Wikipedia response to chatbot-generated content
Some user experiences can be found here:
Image metadata – There have been efforts from GLAM institutions to help supplement image keyword data with machine learning efforts. Among them include:
Image generation
