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Governments should think of AI less as an exciting new technology, and more as a global public good. “Collectively, we must prepare to avert the attendant catastrophic risks that could arrive at ...
The institute's goal is to "grow wisdom with which we manage" the growing power of technology. Musk also funds companies developing artificial intelligence such as DeepMind and Vicarious to "just keep an eye on what's going on with artificial intelligence, [127] saying "I think there is potentially a dangerous outcome there." [128] [129]
"I'm not sure it's [AI] out of control. I think there are use cases that sometimes people want to showcase either in their own benefits, to see, hey, this is the potential.
Tech titan Elon Musk on Monday warned that waiting for a mishap before regulating artificial intelligence might be "too late" because, by that point, the technology could be "in control" of society.
The letter highlights both the positive and negative effects of artificial intelligence. [7] According to Bloomberg Business, Professor Max Tegmark of MIT circulated the letter in order to find common ground between signatories who consider super intelligent AI a significant existential risk, and signatories such as Professor Oren Etzioni, who believe the AI field was being "impugned" by a one ...
On June 26, 2019, the European Commission High-Level Expert Group on Artificial Intelligence (AI HLEG) published its "Policy and investment recommendations for trustworthy Artificial Intelligence". [77] This is the AI HLEG's second deliverable, after the April 2019 publication of the "Ethics Guidelines for Trustworthy AI".
Some AI safety thinkers once argued that AI systems should first be developed in "air-gapped" systems, away from the internet, where they might potentially cause harm. Such suggestions seem ...
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.
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