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arXiv:1605.02817cs.AI

Unethical Research: How to Create a Malevolent Artificial Intelligence

Federico Pistono, Roman V. Yampolskiy

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

Cybersecurity research involves publishing papers about malicious exploits as much as publishing information on how to design tools to protect cyber-infrastructure. It is this information exchange between ethical hackers and security experts, which results in a well-balanced cyber-ecosystem. In the blooming domain of AI Safety Engineering, hundreds of papers have been published on different proposals geared at the creation of a safe machine, yet nothing, to our knowledge, has been published on how to design a malevolent machine. Availability of such information would be of great value particularly to computer scientists, mathematicians, and others who have an interest in AI safety, and who are attempting to avoid the spontaneous emergence or the deliberate creation of a dangerous AI, which can negatively affect human activities and in the worst case cause the complete obliteration of the human species. This paper provides some general guidelines for the creation of a Malevolent Artificial Intelligence (MAI).

arXiv comments
Journal reference
In proceedings of Ethics for Artificial Intelligence Workshop (AI-Ethics-2016). Pages 1-7. New York, NY. July 9 -- 15, 2016
DOI
Subjects
cs.AIArtificial Intelligence

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Sep 2016 to Sep 2016. Found in 2 HN submissions from May 2016 to Aug 2016. Open submission discussions.

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Discussed in comments1 thread

  1. Logical Induction 1 comment
    • Would you please direct me to an example of MIRI's Red Team efforts that isn't the recent "Malevolent AI" paper [0]? Adherence to the belief that UFAI is a threshold-grade existential risk seems to compel a "define first, delay implementation" strategy, lest any step forward be…

      jpt4View on HNParent context

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