Stovepiping and Malicious Software: A Critical Review of AGI Containment
November 08, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Jason M. Pittman, Jesus P. Espinoza, Courtney Crosby
arXiv ID
1811.03653
Category
cs.AI: Artificial Intelligence
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Awareness of the possible impacts associated with artificial intelligence has risen in proportion to progress in the field. While there are tremendous benefits 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 increasingly important. In this paper, we provide an overview of one such safety paradigm: containment with a critical lens aimed toward generative adversarial networks and potentially malicious artificial intelligence. Additionally, we illuminate the potential for a developmental blindspot in the stovepiping of containment mechanisms.
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