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.
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00:00Could artificial intelligence be the future of more reliable open-source encyclopedias like Wikipedia?
00:06A recent study in Nature Machine Intelligence suggests it might just be the answer.
00:11Researchers 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,
00:26told Fox News that AI can reduce human bias and tirelessly improve accuracy.
00:32It's a watchful eye that never sleeps. However, there are hurdles to overcome,
00:37such as the opacity of proprietary algorithms and the risk of prioritizing utility over accuracy.
00:44Putting their system to the test, researchers found that 21% of users preferred AI-generated
00:50citations over human ones. This highlights the potential for AI-driven encyclopedias.
00:56Samuel Mangal-Lennard, a staff editor at The Federalist, said AI-run encyclopedias
01:03offer ironclad fact-checking and reduced human bias.
01:07While Phil Siegel, the founder of the Center for Advanced Preparedness and Threat Response
01:11Simulation, added AI could craft a more comprehensive encyclopedia with better grammar,
01:17enhanced interlinking, and coverage of obscure topics,
01:21but keeping information up-to-date would require a human-AI partnership.