00:00 Could artificial intelligence be the future of more reliable open-source encyclopedias like Wikipedia?
00:06 A recent study in Nature Machine Intelligence suggests it might just be the answer.
00:11 Researchers introduced SIDE, an AI system that combed through Wikipedia references,
00:16 identifying missing links and evaluating their relevance to supported articles.
00:21 Christopher Alexander, the chief analytics officer of Pioneer Development Group,
00:25 told Fox News that AI can reduce human bias and tirelessly improve accuracy.
00:32 It's a watchful eye that never sleeps.
00:34 However, there are hurdles to overcome, such as the opacity of proprietary algorithms
00:40 and the risk of prioritizing utility over accuracy.
00:44 Putting their system to the test, researchers found that 21% of users
00:48 preferred AI-generated citations over human ones.
00:52 This highlights the potential for AI-driven encyclopedias.
00:56 Samuel Mangol-Lennett, a staff editor at The Federalist,
01:00 said AI-run encyclopedias offer ironclad fact-checking and reduced human bias.
01:06 While Phil Siegel, the founder of the Center for Advanced Preparedness and Threat Response Simulation,
01:12 added AI could craft a more comprehensive encyclopedia with better grammar,
01:17 enhanced interlinking, and coverage of obscure topics.
01:21 But keeping information up to date would require a human-AI partnership.
01:26 (upbeat music)
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