A Virtue-Based Framework to Support Putting AI Ethics into Practice
A Virtue-Based Framework to Support Putting AI Ethics into Practice
复制标题
支持将人工智能伦理付诸实践的基于美德的框架
DOI：
--
复制
发表时间：
2020
影响因子：
--
通讯作者：
Thilo Hagendorff
中科院分区：
文献类型：
--
作者：
Thilo Hagendorff
许多道德倡议为人工智能领域的良好技术开发规定了一套原则和标准。然而，一些人工智能伦理研究人员指出，这些原则缺乏实际实现。在此之后，人工智能伦理学经历了一个实际的转折，但没有偏离原则性的方法。本文提出了一个补充的原则性方法，是基于美德伦理学。它定义了四个“基本的人工智能美德”，即正义，诚实，责任和关怀，所有这些都代表了特定的动机设置，构成了人工智能领域道德决策的先决条件。此外，它定义了两个“二阶人工智能美德”，谨慎和坚韧，通过帮助克服有限的道德或隐藏的心理力量来支持实现基本美德，这些力量可能会损害道德决策，并且迄今为止在人工智能伦理学中被忽视。最后，本文描述了在处理人工智能研究和开发的组织中成功培养上述美德的措施。
Many ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, several AI ethics researchers have pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the principled approach. This paper proposes a complementary to the principled approach that is based on virtue ethics. It defines four “basic AI virtues”, namely justice, honesty, responsibility and care, all of which represent specific motivational settings that constitute the very precondition for ethical decision making in the AI field. Moreover, it defines two “second-order AI virtues”, prudence and fortitude, that bolster achieving the basic virtues by helping with overcoming bounded ethicality or hidden psychological forces that can impair ethical decision making and that are hitherto disregarded in AI ethics. Lastly, the paper describes measures for successfully cultivating the mentioned virtues in organizations dealing with AI research and development.
太累了，无法说出真相：自我控制的资源耗尽和不诚实。
影响因子：
3.5
作者：
Mead, Nicole L.;Baumeister, Roy F.;Gino, Francesca;Schweitzer, Maurice E.;Ariely, Dan
通讯作者：
Ariely, Dan
影响因子：
5.4
作者：
J. Haidt
通讯作者：
J. Haidt