Skip to playerSkip to main contentSkip to footer
  • 6/23/2025
Could artificial intelligence be the future of more reliable open-source encyclopedias like Wikipedia? A recent study in Nature Machine Intelligence suggests it might just be the answer. Researchers introduced "SIDE," an AI system that combed through Wikipedia references, identifying missing links and evaluating their relevance to supported articles. Veuer’s Maria Mercedes Galuppo has the story.

Category

🗞
News
Transcript
00:00Could artificial intelligence be the future of more reliable open-source encyclopedias like
00:05Wikipedia? A recent study in Nature Machine Intelligence suggests it might just be the
00:10answer. Researchers introduced SIDE, an AI system that combed through Wikipedia references,
00:16identifying missing links, and evaluating their relevance to supported articles.
00:21Christopher Alexander, the chief analytics officer of Pioneer Development Group,
00:25told Fox News that AI can reduce human bias and tirelessly improve accuracy. It's a watchful
00:33eye that never sleeps. However, there are hurdles to overcome, such as the opacity of proprietary
00:39algorithms and the risk of prioritizing utility over accuracy. Putting their system to the test,
00:46researchers found that 21% of users preferred AI-generated citations over human ones. This
00:53highlights the potential for AI-driven encyclopedias. Samuel Mangal-Lennett, a staff editor at The
00:59Federalist, said AI-run encyclopedias offer ironclad fact-checking and reduced human bias,
01:07while Phil Siegel, the founder of the Center for Advanced Preparedness and Threat Response Simulation,
01:13added AI could craft a more comprehensive encyclopedia with better grammar, enhance interlinking,
01:19and coverage of obscure topics. But keeping information up-to-date would require a human-AI partnership.

Recommended