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Awareness of the possible impacts associated with artificial intelligence hasrisen in proportion to progress in the field. While there are tremendousbenefits to society, many argue that there are just as many, if not more,concerns related to advanced forms of artificial intelligence. Accordingly,research into methods to develop artificial intelligence safely is increasinglyimportant. In this paper, we provide an overview of one such safety paradigm:containment with a critical lens aimed toward generative adversarial networksand potentially malicious artificial intelligence. Additionally, we illuminatethe potential for a developmental blindspot in the stovepiping of containmentmechanisms.

Stovepiping and Malicious Software: A Critical Review of AGI Containment