AI’s blind spot: Tools fail to detect their own fakes
When outraged Filipinos turned to an AI-powered chatbot to verify a viral photograph of a lawmaker embroiled in a corruption scandal, ...
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When outraged Filipinos turned to an AI-powered chatbot to verify a viral photograph of a lawmaker embroiled in a corruption scandal, ...
Read moreDetailsIf you believe artificial intelligence poses grave risks to humanity, then a professor at Carnegie Mellon University has one of the ...
Read moreDetailsJudges around the world are dealing with a growing problem: legal briefs that were generated with the help of artificial intelligence ...
Read moreDetailsA study of how three popular artificial intelligence chatbots respond to queries about suicide found that they generally avoid answering questions ...
Read moreDetailsHumanoid robots raced and punched their way through three days of a multi-sport competition at the World Humanoid Robot Games, wrapping ...
Read moreDetailsOpenAI on Tuesday released two new artificial intelligence (AI) models that can be downloaded for free and altered by users, to ...
Read moreDetailsAs policymakers in the U.S. and globally consider how to govern artificial intelligence technology, Berkeley researchers have joined with others to ...
Read moreDetailsTrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, saving time and resources.
Read moreDetailsA University of Warwick epigraphy expert has collaborated with Google DeepMind to evaluate "Aeneas," an AI model that reimagines Roman inscriptions.
Read moreDetailsAssessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.
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