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Wikidata, Wikipedia anniversaries prompt call for public utility AI

By PulseAugur Editorial · [1 sources] ·

The article reflects on the 14th anniversary of Wikidata and the 25th anniversary of Wikipedia, highlighting their nature as volunteer-built, user-funded knowledge commons. It contrasts this with the current AI industry, which, despite training on such data, has achieved trillion-dollar valuations through practices described as massive theft, including straining websites, underpaying data workers, and high energy consumption. The author proposes an alternative model where AI functions as a public utility, emphasizing accessibility, democratic governance, public deliberation on harms, fair compensation for data contributors, and unionized labor. AI

IMPACT Proposes a public utility model for AI, emphasizing democratic governance and fair compensation, as an alternative to current industry practices.

RANK_REASON The item is an opinion piece reflecting on the nature of knowledge commons and proposing an alternative model for AI development and governance.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Wikidata, Wikipedia anniversaries prompt call for public utility AI

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1 / 100
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Commentary
The item is an opinion piece reflecting on the nature of knowledge commons and proposing an alternative model for AI development and governance.
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opinion, policy
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Standard
On-topic for AI-industry coverage; kept in the public index.
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COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Wikidata turns 14 today, Wikipedia turned 25 this year: knowledge commons built by volunteers, funded by users. Trained on them, AI companies hit trillion-dolla

    Wikidata turns 14 today, Wikipedia turned 25 this year: knowledge commons built by volunteers, funded by users. Trained on them, AI companies hit trillion-dollar valuations in a few years, built on massive theft and causing harm: scrapers straining sites, underpaid data work, ene…

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