2023:Program/Technology/FQPFKR-AI advancements and 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 (FQPFKR). 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: AI advancements and the Wikimedia projects

Speakers:

Maryana Pinchuk

Lydia Pintscher

Lydia Pintscher is the portfolio lead for Wikidata at Wikimedia Deutschland. She has been with Wikidata since its start over a decade ago.

Shaun Spalding

Lead Counsel at the Wikimedia Foundation (home of Wikipedia) in charge of the Brand Studio and Partnerships portfolios. 2nd Chair on the Enterprise portfolio. Cheerleader for open licensing and Free Knowledge. Watchdog against “undisclosed paid editing.”

Leila Zia

https://meta.wikimedia.org/wiki/User:LZia_(WMF)

Pretalx link

Etherpad link

Room: Room 309

Start time: Thu, 17 Aug 2023 10:00:00 +0800

End time: Thu, 17 Aug 2023 11:00:00 +0800

Type: Panel

Track: Technology

Submission state: confirmed

Duration: 60 minutes

Do not record: false

Presentation language: en


Abstract & description[edit source]

Abstract[edit source]

The growth of machine learning technologies offers exciting possibilities (and potential concerns) for the Wikimedia movement. This panel will explore recent AI developments, how these developments impact the way volunteers manage and moderate contributions, and potential partnerships the Foundation may make with AI industry and advocacy organizations. The session does not require research, engineering, or legal expertise, only interest in the Wikimedia ecosystem.

Description[edit source]

The recent acceleration of consumer AI technologies has created many opportunities, questions, and challenges for the free knowledge ecosystem. These technologies may affect the knowledge production and governance model of the Wikimedia projects. Through this panel, we raise awareness about how Wikimedia Foundation and Wikidata teams perceive the impact of the recent advancements of AI on the Wikimedia projects and share how we intend to proceed adapting and embracing this space. Topics may include:

  1. What can be the impact of recent AI developments and what’s expected to come on the Wikimedia projects?
  2. How do we expect the knowledge-seeking behavior of users around the world to change and what is the Foundation doing to anticipate those changes?
  3. How copyright and data laws currently affect content contribution and moderation in Wikimedia projects.
  4. What is our role in advocating for the open-licensing ecosystem?
  5. How can we approach partnerships with organizations, industry associations, and non-profit advocacy groups?

Further details[edit source]

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

ML affects translation. It can potentially increase (or decrease bias) on the projects. It can potentially create disinformation but can also be used to help spot disinformation. It could open up contributions to a larger amount of people, but could also over-burden existing editors. Every aspect of the project’s approach to this emerging technology has implications for diversity and collaboration.

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

Everyone can participate in this session

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

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


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