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人类-人工智能系统的行为伦理生态

Behavioral Ethics Ecologies of Human-Artificial Intelligence Systems.

作者信息

Fox Stephen

机构信息

VTT Technical Research Centre of Finland, FI-02150 Espoo, Finland.

出版信息

Behav Sci (Basel). 2022 Apr 11;12(4):103. doi: 10.3390/bs12040103.

Abstract

Historically, evolution of behaviors often took place in environments that changed little over millennia. By contrast, today, rapid changes to behaviors and environments come from the introduction of artificial intelligence (AI) and the infrastructures that facilitate its application. Behavioral ethics is concerned with how interactions between individuals and their environments can lead people to questionable decisions and dubious actions. For example, interactions between an individual's self-regulatory resource depletion and organizational pressure to take non-ethical actions. In this paper, four fundamental questions of behavioral ecology are applied to analyze human behavioral ethics in human-AI systems. These four questions are concerned with assessing the function of behavioral traits, how behavioral traits evolve in populations, what are the mechanisms of behavioral traits, and how they can differ among different individuals. These four fundamental behavioral ecology questions are applied in analysis of human behavioral ethics in human-AI systems. This is achieved through reference to vehicle navigation systems and healthcare diagnostic systems, which are enabled by AI. Overall, the paper provides two main contributions. First, behavioral ecology analysis of behavioral ethics. Second, application of behavioral ecology questions to identify opportunities and challenges for ethical human-AI systems.

摘要

从历史上看,行为的演变往往发生在数千年来变化不大的环境中。相比之下,如今,行为和环境的快速变化源于人工智能(AI)的引入以及促进其应用的基础设施。行为伦理学关注个体与其环境之间的相互作用如何导致人们做出有问题的决策和可疑的行为。例如,个体自我调节资源耗竭与组织采取不道德行为的压力之间的相互作用。在本文中,行为生态学的四个基本问题被应用于分析人机系统中的人类行为伦理学。这四个问题涉及评估行为特征的功能、行为特征在种群中如何演变、行为特征的机制是什么以及它们在不同个体之间如何不同。这四个行为生态学的基本问题被应用于分析人机系统中的人类行为伦理学。这是通过参考由人工智能驱动的车辆导航系统和医疗诊断系统来实现的。总体而言,本文提供了两个主要贡献。第一,对行为伦理学进行行为生态学分析。第二,应用行为生态学问题来识别符合伦理的人机系统的机遇和挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a199/9029794/e562afd804c9/behavsci-12-00103-g001.jpg

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