Avoiding Unintended AI Behaviors
نویسنده
چکیده
Artificial intelligence (AI) systems too complex for predefined environment models and actions will need to learn environment models and to choose actions that optimize some criteria. Several authors have described mechanisms by which such complex systems may behave in ways not intended in their designs. This paper describes ways to avoid such unintended behavior. For hypothesized powerful AI systems that may pose a threat to humans, this paper proposes a two-stage agent architecture that avoids some known types of unintended behavior. For the first stage of the architecture this paper shows that the most probable finite stochastic program to model a finite history is finitely computable, and that there is an agent that makes such a computation without any unintended instrumental actions. Hibbard, Bill. 2012. “Avoiding Unintended AI Behaviors.” In Artificial General Intelligence: 5th International Conference, AGI 2012, Oxford, UK, December 8–11, 2012. Proceedings, edited by Joscha Bach, Ben Goertzel, and Matthew Iklé, 107–116. Lecture Notes in Artificial Intelligence 7716. New York: Springer. doi:10.1007/978-3-642-35506-6_12
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تاریخ انتشار 2012