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arXiv:1604.00545cs.AI

The AGI Containment Problem

James Babcock, Janos Kramar, Roman Yampolskiy

Abstract

There is considerable uncertainty about what properties, capabilities and motivations future AGIs will have. In some plausible scenarios, AGIs may pose security risks arising from accidents and defects. In order to mitigate these risks, prudent early AGI research teams will perform significant testing on their creations before use. Unfortunately, if an AGI has human-level or greater intelligence, testing itself may not be safe; some natural AGI goal systems create emergent incentives for AGIs to tamper with their test environments, make copies of themselves on the internet, or convince developers and operators to do dangerous things. In this paper, we survey the AGI containment problem - the question of how to build a container in which tests can be conducted safely and reliably, even on AGIs with unknown motivations and capabilities that could be dangerous. We identify requirements for AGI containers, available mechanisms, and weaknesses that need to be addressed.

arXiv comments
Journal reference
Lecture Notes in Artificial Intelligence 9782 (AGI 2016, Proceedings) 53-63
DOI
doi:10.1007/978-3-319-41649-6
Subjects
cs.AIArtificial Intelligence

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    • I'm the author of a previous paper about the AI containment problem. This new paper, Alfonseca et al, is kind of crap. This paper defines the term "containment problem" in a nonstandard way. This is different from how I use it in https://arxiv.org/pdf/1604.00545.pdf (which is…

      jimrandomhView on HNParent context

  1. OpenAI Research 1 comment
    • No, I wasn't aware of that. This is a great link, thanks! To anyone else here is their excellent 2016 paper linked from the above: "Concrete Problems in AI Safety" https://arxiv.org/abs/1606.06565 and direct link to 29-page PDF: https://arxiv.org/pdf/1606.06565.pdf [PDF!]…

      logicalleeView on HNParent context

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