The Unfounded Bias Against Autonomous Weapons Systems

IF 0.7 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Áron Dombrovszki
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引用次数: 2

Abstract

Autonomous Weapons Systems (AWS) have not gained a good reputation in the past. This attitude is odd if we look at the discussion of other – usually highly anticipated – AI-technologies, like autonomous vehicles (AVs); whereby even though these machines evoke very similar ethical issues, philosophers’ attitudes towards them are constructive. In this article, I try to prove that there is an unjust bias against AWS because almost every argument against them is effective against AVs too. I start with the definition of “AWS.” Then, I arrange my arguments by the Just War Theory (JWT), covering jus ad bellum, jus in bello and jus post bellum problems. Meanwhile, I draw attention to similar problems against other AI-technologies outside the JWT framework. Finally, I address an exception, as addressed by Duncan Purves, Ryan Jenkins and Bradley Strawser, who realized the unjustified double standard, and deliberately tried to construct a special argument which rules out only AWS.
对自主武器系统的无端偏见
自主武器系统(AWS)在过去并没有获得良好的声誉。如果我们看看其他——通常备受期待的——人工智能技术的讨论,比如自动驾驶汽车(AV),这种态度就很奇怪;尽管这些机器引发了非常相似的伦理问题,但哲学家对它们的态度是建设性的。在这篇文章中,我试图证明对AWS存在不公正的偏见,因为几乎每一个反对AWS的论点都对AV有效。我从“AWS”的定义开始,然后,我用正义战争理论(JWT)来安排我的论点,涵盖战争法、战争中法和战争后法问题。同时,我提请注意针对JWT框架之外的其他人工智能技术的类似问题。最后,我谈到了一个例外,正如Duncan Purves、Ryan Jenkins和Bradley Strawser所提到的那样,他们意识到了不合理的双重标准,并故意试图构建一个只排除AWS的特殊论点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Informacios Tarsadalom
Informacios Tarsadalom INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.30
自引率
33.30%
发文量
15
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