Competitive pressures in AI development create collective action problems that may require industry cooperation, with key factors and strategies identified to enable responsible outcomes.
Taxonomy of Pathways to Dangerous AI
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abstract
In order to properly handle a dangerous Artificially Intelligent (AI) system it is important to understand how the system came to be in such a state. In popular culture (science fiction movies/books) AIs/Robots became self-aware and as a result rebel against humanity and decide to destroy it. While it is one possible scenario, it is probably the least likely path to appearance of dangerous AI. In this work, we survey, classify and analyze a number of circumstances, which might lead to arrival of malicious AI. To the best of our knowledge, this is the first attempt to systematically classify types of pathways leading to malevolent AI. Previous relevant work either surveyed specific goals/meta-rules which might lead to malevolent behavior in AIs (\"Ozkural, 2014) or reviewed specific undesirable behaviors AGIs can exhibit at different stages of its development (Alexey Turchin, July 10 2015, July 10, 2015).
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cs.CY 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
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The Role of Cooperation in Responsible AI Development
Competitive pressures in AI development create collective action problems that may require industry cooperation, with key factors and strategies identified to enable responsible outcomes.