T. Graepel, David S. Berman, Michael A. Warren et al.
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Policymakers should urgently obtain more visibility into the automation of AI R&D, develop ways to steer and constrain an intelligence explosion, and prepare society to adapt to an intelligence explosion's impacts.
Alan Chan, Christoph Winter, A. Barto et al.
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The framework supports a structured agnosticism, in which theoretical commitments are made explicit, credences are updated as evidence accumulates, and assessments take the form of aggregated probabilities rather than verdicts.
S. Chandaria, Arvo Muñoz Morán, Fernando E. Rosas et al.
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How AI itself might continue to develop in a post-AGI world along the continuum of machine intelligence is investigated, which can intuitively be understood as a system that is more intelligent and cognitively capable than large organisations of humans.
Tim Genewein, Matija Franklin, Alexander Lerchner et al.
· arXiv.org · 4 citations
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