Explainable, Normative, and Justified Agency

Explainable, Normative, and Justified Agency
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可解释的、规范的、合理的机构

DOI:
10.1609/aaai.v33i01.33019775
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发表时间:
2019
期刊:
3D User Interfaces (3DUI'06)
影响因子:
--
通讯作者:
P. Langley
P. Langley
中科院分区:
--
文献类型:
--
作者:
P. Langley

文献摘要

被引文献

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在本文中,我们对人工智能研究人员提出了一个新的挑战--开发支持正当代理的智能系统。我们用例子来说明这种能力,并将其与两个正在受到越来越多关注的基本话题联系起来--解释其决定的代理人和遵循社会规范的代理人。在每一种情况下,我们描述目标能力,考虑设计替代方案,注意一些开放的问题,并回顾以前的研究。在此之后,我们回到正当性代理,就其与解释性和规范性行为的关系提出一个假设。最后,我们提出了试验台和实验来评估这一经验性的主张,并鼓励其他研究人员为这一关键领域做出贡献。
In this paper, we pose a new challenge for AI researchers – to develop intelligent systems that support justified agency. We illustrate this ability with examples and relate it to two more basic topics that are receiving increased attention – agents that explain their decisions and ones that follow societal norms. In each case, we describe the target abilities, consider design alternatives, note some open questions, and review prior research. After this, we return to justified agency, offering a hypothesis about its relation to explanatory and normative behavior. We conclude by proposing testbeds and experiments to evaluate this empirical claim and encouraging other researchers to contribute to this crucial area.