Wikimania

2023:Program/Technology/F7SZHJ-State of machine learning on the Wikimedia projects

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The following is a mirror of what are publicly available details of submission made at the call for proposal platform, Pretalx. Any changes here may be overwritten by a bot while syncing updates from Pretalx (F7SZHJ). Changes are monitored and may be updated into Pretalx if they do not change the context of the submission (i.e. correcting typographical errors).

Title: State of machine learning on the Wikimedia projects

Speakers:

Santhosh Thottingal

Santhosh Thottingal is Principal Software Engineer in Language team of Wikimedia Foundation.

Pretalx link

Etherpad link

Room: Plenary Hall

Start time: Thu, 17 Aug 2023 12:15:00 +0800

End time: Thu, 17 Aug 2023 12:45:00 +0800

Type: No (pretalx) session type id specified

Track: Technology

Submission state: confirmed

Duration: 30 minutes

Do not record: false

Presentation language: en


Abstract & description

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Abstract

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Machine learning technique is used in many Wikimedia project. We will discuss how we use ML on the projects today, what are the applications, what are some of the challenges we face, how have we addressed some of those challenges, etc.

Description

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Machine learning is used in many Wikimedia projects. This talk would be round up of various projects that use ML. We will talk about:

  • How Machine learning is used in our project, the benefits and impact.
  • How we make sure the usage is as per the ML usage policies? The design, ethics and product considerations of ML in our projects.
  • What are the challenges we are facing and how we are solving them?
  • Potential opportunities that are worth exploring

Further details

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Qn. How does your session relate to the event themes: Diversity, Collaboration Future?

Machine learning is used for reducing the efforts for out contributor, moderator communities. They are applied in our projects with lot of attention to make sure they are as per the values of our project.

Qn. What is the experience level needed for the audience for your session?

Average knowledge about Wikimedia projects or activities

Qn. What is the most appropriate format for this session?

  •   Onsite in Singapore
  •   Remote online participation, livestreamed
  •   Remote from a satellite event
  •   Hybrid with some participants in Singapore and others dialing in remotely
  •   Pre-recorded and available on demand


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