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.
翻译:许多人认为,开发人造一般情报是不可避免的。这种情报在意识到后所做的是不可避免的。为此目的,研究表明,人工一般情报对人类产生敌意的可能性是足够大的,足以调查限制这种潜力的方法。因此,控制人造一般情报是一个及时和有意义的研究专题。虽然研究范围有限,探索可能的遏制战略,但这项工作受战略所依据的基本领域的约束。因此,我们着手建立一个本体,以描述任何未来遏制技术的必要要素。我们利用现有学术文献,开发了一个包含5级、32个代码和32个相关描述器的单一域内肿瘤学。此外,我们制作了用于显示预期关系的本体图。我们随后将人类、AGI和网络世界确定为未来遏制活动所需的新媒介物体。工作共同解决了三个关键差距:(a) 确定和安排基本结构;(b) 将AGI遏制置于网络科学中;(c) 开发本领域的科学规范。