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Wikimedia Futures Lab/Dashboard/Experiment Tracker/Creating editing assistant tools utilizing AI

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Experiment title
Provide better editing assistant tool with AI to reducing editor's workload

Experiment owner(s)

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add your usernames:

Brief description of experiment

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This is part of hypothesis called: "Provide AI tools for contributors to assisting by reduce their workload". To achieve this hypothesis, we want to utilize the AI to create the wiki-friendly gadgets to assisting the editors. As expected result of the creation of editing assistant tools powered by AI, reducing efficiency wasted on simple, repetitive tasks, we provide convenience to contributors. Furthermore, these tools help alleviate barriers that make it difficult for new users, thereby boosting productivity in contributions and driving the influx of new users.

Link to a page where people can follow progress

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(en->ko translation) WikiVault

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Wikivault is the KOWP's AI based translate assistant tool developed by community member of Korean community with support from Wikimedia Korea. This is the ongoing experiment connecting with this theme. This tools runs on gemini interface

Wikivault is already deployed in May 2025 and currently in use in the Korean Wikipedia. Now currently in evaluation and modifying stage from community, with the future developments about quality improvements and avoiding the bias, we will be made on translation tool of AI with the other languages to assisting editors in Korean Wikipedia.

Will share progress about this project in following conferences in 2026: ESEAP Conference 2026 at Taiwan, Wikimania 2026 in Paris (if Youngjin got accepted from scholarship), This will cover the impacts brought to kowp's community since deployment of the WikiVault.

If you have any questions about this experiment tool please contact User:Youngjin (WMKR) about this tool.

Update (May 2026)

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Wikivault - and it's impact to community

In ESEAP Conference 2026, Youngjin and User:Greenina presented about wikivault and its community impact in qualitative and quantitative analysis by data analysis and community comments through various consultations and discussions with community members. You can see the following materials for details

  • Video recording (coming soon)
  • Slides
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