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The development of artificial general intelligence is considered by many tobe inevitable. What such intelligence does after becoming aware is not socertain. To that end, research suggests that the likelihood of artificialgeneral intelligence becoming hostile to humans is significant enough towarrant inquiry into methods to limit such potential. Thus, containment ofartificial general intelligence is a timely and meaningful research topic.While there is limited research exploring possible containment strategies, suchwork is bounded by the underlying field the strategies draw upon. Accordingly,we set out to construct an ontology to describe necessary elements in anyfuture containment technology. Using existing academic literature, we developeda single domain ontology containing five levels, 32 codes, and 32 associateddescriptors. Further, we constructed ontology diagrams to demonstrate intendedrelationships. We then identified humans, AGI, and the cyber world as novelagent objects necessary for future containment activities. Collectively, thework addresses three critical gaps: (a) identifying and arranging fundamentalconstructs; (b) situating AGI containment within cyber science; and (c)developing scientific rigor within the field.

A Cyber Science Based Ontology for Artificial General Intelligence Containment