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AIQuiet 13d · day 14

Wikimedia Foundation urges middle-ground fair-use ruling in NYT v. OpenAI copyright case

The Wikipedia operator's amicus brief says AI training should count as fair use but that chatbots reproducing full articles shouldn't.

What to know

  • Wikimedia Foundation's amicus brief avoids backing either OpenAI/Microsoft or the publishers, instead proposing a split standard: AI training is fair use, but chatbot output that reproduces articles is not.
  • The nonprofit says Wikipedia depends on both protections — it needs AI training to be legal to benefit from editor-support tools, but needs licensing respected since ChatGPT allegedly reproduces Creative Commons-licensed text without complying with license terms.
  • Wikimedia frames the stakes as existential for the open web: an overly broad ruling for either side could let copyright holders gatekeep transformative uses or let AI firms ignore licensing entirely.

“The court needs to understand that Wikipedia is created through a collaborative process that requires a strong foundation of open and accessible human knowledge to thrive.”

Stephen LaPorte, Wikimedia Foundation general counsel · The Verge ↗ · Oct 29

Wikimedia Foundation Operator of Wikipedia, amicus brief filerStephen LaPorte Wikimedia Foundation general counselThe New York Times Plaintiff in copyright suit against OpenAI and MicrosoftOpenAI DefendantMicrosoft Defendant

Wikimedia Foundation urges middle-ground fair-use ruling in NYT v. OpenAI copyright case
theverge.com

How it unfolded 2 developments, newest first · click a bar or a number to jump articlesposts

Peak 4 pieces in 3h at Oct 30, 4 AM; 7 pieces over 14 days (3 articles · 4 posts) Oct 30, 4 AM — 4 pieces · 2 articles · 2 posts — Mastodon 3, Newswires 1Oct 30, 7 AM — 1 piece · 1 post — Mastodon 1Oct 30, 10 AM — quietOct 30, 1 PM — quietOct 30, 4 PM — quietOct 30, 7 PM — 1 piece · 1 article — Google News 1Oct 30, 10 PM — 1 piece · 1 post — Mastodon 1Oct 31, 1 AM — quietOct 31, 4 AM — quietOct 31, 7 AM — quietOct 31, 10 AM — quietOct 31, 1 PM — quietOct 31, 4 PM — quietOct 31, 7 PM — quietOct 31, 10 PM — quietNov 1, 1 AM — quietNov 1, 3 AM — quietNov 1, 6 AM — quietNov 1, 9 AM — quietNov 1, 12 PM — quietNov 1, 3 PM — quietNov 1, 6 PM — quietNov 1, 9 PM — quietNov 2, 12 AM — quietNov 2, 3 AM — quietNov 2, 6 AM — quietNov 2, 9 AM — quietNov 2, 12 PM — quietNov 2, 3 PM — quietNov 2, 6 PM — quietNov 2, 9 PM — quietNov 3, 12 AM — quietNov 3, 3 AM — quietNov 3, 6 AM — quietNov 3, 9 AM — quietNov 3, 12 PM — quietNov 3, 3 PM — quietNov 3, 6 PM — quietNov 3, 9 PM — quietNov 4, 12 AM — quietNov 4, 3 AM — quietNov 4, 6 AM — quietNov 4, 9 AM — quietNov 4, 12 PM — quietNov 4, 3 PM — quietNov 4, 6 PM — quietNov 4, 9 PM — quietNov 5, 12 AM — quietNov 5, 3 AM — quietNov 5, 6 AM — quietNov 5, 9 AM — quietNov 5, 12 PM — quietNov 5, 3 PM — quietNov 5, 6 PM — quietNov 5, 9 PM — quietNov 6, 12 AM — quietNov 6, 3 AM — quietNov 6, 6 AM — quietNov 6, 9 AM — quietNov 6, 12 PM — quietNov 6, 3 PM — quietNov 6, 6 PM — quietNov 6, 9 PM — quietNov 7, 12 AM — quietNov 7, 3 AM — quietNov 7, 6 AM — quietNov 7, 9 AM — quietNov 7, 12 PM — quietNov 7, 3 PM — quietNov 7, 6 PM — quietNov 7, 9 PM — quietNov 8, 12 AM — quietNov 8, 3 AM — quietNov 8, 6 AM — quietNov 8, 9 AM — quietNov 8, 12 PM — quietNov 8, 3 PM — quietNov 8, 6 PM — quietNov 8, 9 PM — quietNov 9, 12 AM — quietNov 9, 3 AM — quietNov 9, 6 AM — quietNov 9, 9 AM — quietNov 9, 12 PM — quietNov 9, 3 PM — quietNov 9, 6 PM — quietNov 9, 9 PM — quietNov 10, 12 AM — quietNov 10, 3 AM — quietNov 10, 6 AM — quietNov 10, 9 AM — quietNov 10, 12 PM — quietNov 10, 3 PM — quietNov 10, 6 PM — quietNov 10, 9 PM — quietYesterday, 12 AM — quietYesterday, 3 AM — quietYesterday, 6 AM — quietYesterday, 9 AM — quietYesterday, 12 PM — quietYesterday, 3 PM — quietYesterday, 6 PM — quietYesterday, 9 PM — quietToday, 12 AM — quietToday, 3 AM — quietToday, 6 AM — quietToday, 9 AM — quietToday, 12 PM — quietToday, 3 PM — quietToday, 6 PM — quiet 1–2
Oct 31Nov 1Nov 2Nov 3Nov 4Nov 5Nov 6Nov 7Nov 8Nov 9Nov 10now · 9:20 PM ET
  1. 2

    Wikimedia counsel LaPorte warns of risk to free knowledge

    Wikimedia Foundation general counsel Stephen LaPorte said in a statement that an imprecise fair-use ruling could threaten Wikipedia's sustainability and stifle open-source technology development.

    “A ruling that does not apply fair use principles carefully could threaten the sustainability of free knowledge, and stifle the development of open source technologies, ultimately impacting access to information for everyone in both cases…”
    — Stephen LaPorte, Wikimedia Foundation general counsel
    1. first by The Verge, 13d ago

    • SuffolkLITLab@esq.social

      TL;DR: The Wikimedia Foundation advocates for courts to protect large language models training on copyrighted work while opposing chatbots that misuse this content, cautioning that a rigid ruling could harm the utility of AI tools for Wikipedia. https://www. theverge.com/policy/1022880/wi kipedia-openai-new-york-times-copyright # law # tech #…

      SuffolkLITLab@esq.socialMastodon13d agoview on Mastodon ↗
    1 more of the top 2 · 2 posts in this stretch
    • kdkorte@fosstodon.org

      The Wikimedia Foundation makes a strong case that we need to balance copyright and access to knowledge when setting rules for AI. # AI # knowledge # regulation https:// wikimediafoundation.org/news/2 026/10/30/wikimedia-foundation-amicus-brief-new-york-times-v-open-ai-case/

      kdkorte@fosstodon.orgMastodon12d agoview on Mastodon ↗
    all of them →
  2. 1

    Wikimedia Foundation files amicus brief in NYT v. OpenAI case

    The nonprofit behind Wikipedia filed a brief taking neither side, asking the court to find that training LLMs on copyrighted work is fair use but that chatbots reproducing that work to users is not.

    “Wikimedia is concerned that the parties’ positions in this case push for overbroad and simplified applications of the fair use doctrine…”
    — Wikimedia Foundation

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