Ethics and risks between human and robotic interaction

IF 0.9 4区 心理学 Q3 COMMUNICATION Interaction Studies Pub Date : 2019-07-15 DOI:10.1075/IS.18009.YU
Lin Yu, Shejiao Ding
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引用次数: 1

Abstract

Robot is definitely playing important role in human society. Low contact on machine standards is mostly on industrial robot while close contacts are in increasing demand in service robot, etc. The development of robotics with advanced hardware and artificial intelligence (AI) provide the possibility with human beings while close contacts raise many new issues on ethics and risks. For interaction, the related technique of perception, cognition and interaction are briefly introduced. For ethics, rules should be given for the robot designers to include ethics for certain application while risks should be evaluated during the experiment test. To make efficient decision, safety design with AI technology should be put on agenda for roboticists. Except from the risks, ethics raise many challenges while most of them can be solved by developing technologies while some of the problems exist in human’s society which also raise the questions for the human beings. More broader vision should be taken from different social departments together to avoid the possible embarrassed issues. It’s time to welcome the world of robotics and related techniques will make life more efficient while human-robot coexistence society will come one day and law should be imposed on both.
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人与机器人互动之间的伦理和风险
机器人无疑在人类社会中扮演着重要的角色。机器上的低接触标准主要针对工业机器人,而服务机器人等对密切接触的需求越来越大。先进硬件和人工智能的发展为人类提供了可能性,而密切接触则提出了许多新的伦理和风险问题。对于交互,简要介绍了感知、认知和交互的相关技术。在伦理方面,应为机器人设计师制定规则,包括某些应用的伦理,同时应在实验测试期间评估风险。为了做出有效的决策,人工智能技术的安全设计应该提上机器人学家的议事日程。除了风险之外,伦理学还提出了许多挑战,其中大多数可以通过开发技术来解决,而人类社会中存在的一些问题也给人类提出了问题。应该将不同的社会部门放在一起,以避免可能出现的尴尬问题。是时候欢迎机器人和相关技术的世界了,这将使生活更加高效,而人类与机器人共存的社会总有一天会到来,法律应该对两者都施加影响。
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来源期刊
CiteScore
3.30
自引率
6.70%
发文量
8
期刊介绍: This international peer-reviewed journal aims to advance knowledge in the growing and strongly interdisciplinary area of Interaction Studies in biological and artificial systems. Understanding social behaviour and communication in biological and artificial systems requires knowledge of evolutionary, developmental and neurobiological aspects of social behaviour and communication; the embodied nature of interactions; origins and characteristics of social and narrative intelligence; perception, action and communication in the context of dynamic and social environments; social learning.
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