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.
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