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Tag articles with appropriate templates, remove unsourced information and warn users who add unsourced AI-generated content to articles. Identifying AI-assisted edits is difficult in most cases since the generated text is often indistinguishable from human text.
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.
Blaise Agüera y Arcas and Peter Norvig wrote in 2023 that a significant level of general intelligence has already been achieved with frontier models. They wrote that reluctance to this view comes from four main reasons: a "healthy skepticism about metrics for AGI", an "ideological commitment to alternative AI theories or techniques", a ...
Explainable AI (XAI), often overlapping with interpretable AI, or explainable machine learning (XML), is a field of research within artificial intelligence (AI) that explores methods that provide humans with the ability of intellectual oversight over AI algorithms.
Wracked by violence related to drug trafficking, Mexico is one of the world's most dangerous countries for journalists, news advocacy groups say.. Reporters Without Borders says more than 150 ...
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data.
Health & Place ] (]]]]) ]]]–]]] Proximity to point sources of environmental mercury release as a predictor of autism prevalence Raymond F. Palmera,, Stephen Blanchardb, Robert Wooda