Safety Engineering for Artificial General Intelligence.

Machine ethics and robot rights are quickly becoming hot topics in artificial intelligence and robotics communities. We will argue that attempts to attribute moral agency and assign rights to all intelligent machines are misguided, whether applied to infrahuman or superhuman AIs, as are proposals to...

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Publicado en:Topoi: An International Review of Philosophy Vol. 32; no. 2; pp. 217 - 227
Autores principales: Yampolskiy, Roman, Fox, Joshua
Formato: Artículo
Publicado: Springer Nature Oct2013
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Yampolskiy, Roman
          Fox, Joshua
        affil:
          Department of Computer Engineering and Computer Science, University of Louisville, Louisville 40292 USA
          Singularity Institute for Artificial Intelligence, Palo Alto USA
      su:
        General factor (Psychology)
        Industrial safety
        Robotics
        Moral agent (Philosophy)
        Self-actualization (Psychology)
        Autodidacticism
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          General factor (Psychology)
          Industrial safety
          Robotics
          Moral agent (Philosophy)
          Self-actualization (Psychology)
          Autodidacticism
      keyword:
        AI confinement
        AI safety
        Friendly artificial intelligence
        Intelligence explosion
        Machine ethics
        Robot rights
      ab: Machine ethics and robot rights are quickly becoming hot topics in artificial intelligence and robotics communities. We will argue that attempts to attribute moral agency and assign rights to all intelligent machines are misguided, whether applied to infrahuman or superhuman AIs, as are proposals to limit the negative effects of AIs by constraining their behavior. As an alternative, we propose a new science of safety engineering for intelligent artificial agents based on maximizing for what humans value. In particular, we challenge the scientific community to develop intelligent systems that have human-friendly values that they provably retain, even under recursive self-improvement.
      pubtype: Academic Journal
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    language: English
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