A Cyber Science Based Ontology for Artificial General Intelligence Containment
This work addresses AGI containment, a critical safety issue for humanity, but it is incremental as it builds on limited existing research by providing a structured framework.
The paper tackles the problem of containing artificial general intelligence (AGI) by constructing an ontology with five levels, 32 codes, and descriptors to describe necessary elements for future containment technologies, identifying humans, AGI, and the cyber world as novel agent objects.
The development of artificial general intelligence is considered by many to be inevitable. What such intelligence does after becoming aware is not so certain. To that end, research suggests that the likelihood of artificial general intelligence becoming hostile to humans is significant enough to warrant inquiry into methods to limit such potential. Thus, containment of artificial general intelligence is a timely and meaningful research topic. While there is limited research exploring possible containment strategies, such work is bounded by the underlying field the strategies draw upon. Accordingly, we set out to construct an ontology to describe necessary elements in any future containment technology. Using existing academic literature, we developed a single domain ontology containing five levels, 32 codes, and 32 associated descriptors. Further, we constructed ontology diagrams to demonstrate intended relationships. We then identified humans, AGI, and the cyber world as novel agent objects necessary for future containment activities. Collectively, the work addresses three critical gaps: (a) identifying and arranging fundamental constructs; (b) situating AGI containment within cyber science; and (c) developing scientific rigor within the field.