人工智能的道德决策框架

Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max F. Kramer
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引用次数: 145

摘要

决策和博弈论的通用性使得人工智能研究取得了领域独立的进展。例如,在(PO) mdp中找到好的策略的更好的算法可以立即用于各种应用程序。但当涉及到道德决策时,缺乏这样一个普遍的理论。对于具有道德成分的人工智能应用程序,我们是否被迫基于许多临时规则构建系统?在本文中,我们讨论了避免这一结论的可能方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moral Decision Making Frameworks for Artificial Intelligence
The generality of decision and game theory has enabled domain-independent progress in AI research. For example, a better algorithm for finding good policies in (PO)MDPs can be instantly used in a variety of applications. But such a general theory is lacking when it comes to moral decision making. For AI applications with a moral component, are we then forced to build systems based on many ad-hoc rules? In this paper we discuss possible ways to avoid this conclusion.
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