Articles View

ID 784
Authors DOMBROVSZKI Aron
Title The Unfounded Bias Against Autonomous Weapons Systems
Title (translation)
Subtitle
Subtitle (translation)
Keywords artificial intelligence; autonomous weapons systems; self-driving cars; just war theory; AI ethics; military ethics
Keywords (translation)
Issue 2021/2
DOI https://doi.org/10.22503/inftars.XXI.2021.2.2
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.
Abstract (translation)
Language English
Pages 13-28
Column