An Anthropic Argument against the Future Existence of Superintelligent Artificial Intelligence

May 08, 2017 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Toby Pereira arXiv ID 1705.03078 Category cs.AI: Artificial Intelligence Citations 2 Venue arXiv.org Last Checked 4 months ago
Abstract
This paper uses anthropic reasoning to argue for a reduced likelihood that superintelligent AI will come into existence in the future. To make this argument, a new principle is introduced: the Super-Strong Self-Sampling Assumption (SSSSA), building on the Self-Sampling Assumption (SSA) and the Strong Self-Sampling Assumption (SSSA). SSA uses as its sample the relevant observers, whereas SSSA goes further by using observer-moments. SSSSA goes further still and weights each sample proportionally, according to the size of a mind in cognitive terms. SSSSA is required for human observer-samples to be typical, given by how much non-human animals outnumber humans. Given SSSSA, the assumption that humans experience typical observer-samples relies on a future where superintelligent AI does not dominate, which in turn reduces the likelihood of it being created at all.
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