Recent discussion on the ethics of killer robots has focused on the supposed lack of respect their deployment would show to combatants targeted, thereby causing their undignified deaths. I present two rebuttals of this argument. The weak rebuttal maintains that while deploying killer robots is an affront to the dignity of combatants, their use should nevertheless be thought of as a pro tanto wrong, making deployment permissible if the affront is outweighed by some right-making feature. This rebuttal is, however, vulnerable (...) to the charge that killer robots would cause unnecessary suffering. The strong rebuttal, in contrast, argues that the use of killer robots would not disrespect the dignity of combatants, for reasons discussed. I also argue that, irrespective of whether killer robots disrespect the dignity of combatants, they would not necessarily bring about their undignified deaths: for one can maintain dignity in the face of indignity. (shrink)

A classic objection to autonomous weapon systems (AWS) is that these could create so-called responsibility gaps, where it is unclear who should be held responsible in the event that an AWS were to violate some portion of the law of armed conflict (LOAC). However, those who raise this objection generally do so presenting it as a problem for AWS as a whole class of weapons. Yet there exists a rather wide range of systems that can be counted as “autonomous weapon (...) systems”, and so the objection is too broad. In this article I present a taxonomic approach to the objection, examining a number of systems that would count as AWS under the prevalent definitions provided by the United States Department of Defense and the International Committee of the Red Cross, and I show that for virtually all such systems there is a clear locus of responsibility which presents itself as soon as one focuses on specific systems, rather than general notions of AWS. In developing these points, I also suggest a method for dealing with near-future types of AWS which may be thought to create situations where responsibility gaps can still arise. The main purpose of the arguments is, however, not to show that responsibility gaps do not exist or can be closed where they do exist. Rather, it is to highlight that any arguments surrounding AWS must be made with reference to specific weapon platforms imbued with specific abilities, subject to specific limitations, and deployed to specific times and places for specific purposes. More succinctly, the arguments show that we cannot and should not aim to treat AWS as if all of these shared all morally relevant features, but instead on a case-by-case basis. Thus, we must contend with the realities of weapons development and deployment, and tailor our arguments and conclusions to those realities, and with an eye to what facts obtain for particular systems fulfilling particular combat roles. (shrink)

Autonomous weapons are systems that, once activated, can identify, select and engage targets by themselves. Scharre (2018. Army of None: Autonomous Weapons and the Future of War. New York: Norton) has given a definition of autonomy based on three dimensions: the automatized tasks, the relationship with the human user and the sophistication of the machine’s decision-making process. Based on this definition of autonomy, this article provides an overview of systematic biases that may occur in each of these three dimensions. Before (...) the deployment of autonomous systems in war it is important to know how various biases can affect the functioning of the machines and how these biases can be compensated for. (shrink)

In the debate on whether to ban LAWS, moral arguments are mainly used. One of these arguments, proposed by Sparrow, is that the use of LAWS goes hand in hand with the responsibility gap. Together with the premise that the ability to hold someone responsible is a necessary condition for the admissibility of an act, Sparrow believes that this leads to the conclusion that LAWS should be prohibited. In this article, it will be shown that Sparrow’s argumentation for both premises (...) is not convincing. If one interprets the thesis that responsibility (first premise) is necessary in a descriptive sense, this assertion clashes with military theory and practice. And even if you focus on the normative interpretation, that claim does not stand. The second premise for Sparrow’s conclusion, namely that you cannot hold anyone responsible for LAWS’ (mis)deeds, is based on the idea that control is a necessary condition for responsibility. It will be shown that this idea too is not correct, which means that Sparrow’s control argument does not do the work it should do. From this, we can conclude that Sparrow’s justification for his claim that LAWS should be banned is insufficient, and neither can we conclude that the thesis of a responsibility gap has in any case been undermined. However, it will also be argued that someone may be responsible for the actions of LAWS, or that it cannot be excluded that one can be held responsible. (shrink)

Artificial intelligence and normative ethics: Who is responsible for the crime of LAWS? In his text “Killer Robots”, Robert Sparrow holds that killer robots should be forbidden. This conclusion is based on two premises. The first is that attributive responsibility is a necessary condition for admitting an action; the second premise is that the use of killer robots is accompanied by a responsibility gap. Although there are good reasons to conclude that killer robots should be banned, the article shows that (...) Sparrow's argument for the ban is not correct. (shrink)

Recent decades have witnessed tremendous progress in artificial intelligence and in the development of autonomous systems that rely on artificial intelligence. Critics, however, have pointed to the difficulty of allocating responsibility for the actions of an autonomous system, especially when the autonomous system causes harm or damage. The highly autonomous behavior of such systems, for which neither the programmer, the manufacturer, nor the operator seems to be responsible, has been suspected to generate responsibility gaps. This has been the cause of (...) much concern. In this article, I propose a more optimistic view on artificial intelligence, raising two challenges for responsibility gap pessimists. First, proponents of responsibility gaps must say more about when responsibility gaps occur. Once we accept a difficult-to-reject plausibility constraint on the emergence of such gaps, it becomes apparent that the situations in which responsibility gaps occur are unclear. Second, assuming that responsibility gaps occur, more must be said about why we should be concerned about such gaps in the first place. I proceed by defusing what I take to be the two most important concerns about responsibility gaps, one relating to the consequences of responsibility gaps and the other relating to violations of jus in bello. (shrink)

The potential capacity for robots to deceive has received considerable attention recently. Many papers explore the technical possibility for a robot to engage in deception for beneficial purposes (e.g., in education or health). In this short experimental paper, I focus on a more paradigmatic case: robot lying (lying being the textbook example of deception) for nonbeneficial purposes as judged from the human point of view. More precisely, I present an empirical experiment that investigates the following three questions: (a) Are ordinary (...) people willing to ascribe deceptive intentions to artificial agents? (b) Are they as willing to judge a robot lie as a lie as they would be when human agents engage in verbal deception? (c) Do people blame a lying artificial agent to the same extent as a lying human agent? The response to all three questions is a resounding yes. This, I argue, implies that robot deception and its normative consequences deserve considerably more attention than they presently receive. (shrink)

Autonomous weapon systems could in principle release military personnel from the onus of killing during combat missions, reducing the related risk of suffering a moral injury and its debilita...

The potential capacity for robots to deceive has received considerable attention recently. Many papers focus on the technical possibility for a robot to engage in deception for beneficial purposes (e.g. in education or health). In this short experimental paper, I focus on a more paradigmatic case: Robot lying (lying being the textbook example of deception) for nonbeneficial purposes as judged from the human point of view. More precisely, I present an empirical experiment with 399 participants which explores the following three (...) questions: (i) Are ordinary people willing to ascribe intentions to deceive to artificial agents? (ii) Are they as willing to judge a robot lie as a lie as they would be when human agents engage in verbal deception? (iii) Do they blame a lying artificial agent to the same extent as a lying human agent? The response to all three questions is a resounding yes. This, I argue, implies that robot deception and its normative consequences deserve considerably more attention than it presently attracts. (shrink)

Autonomous Weapon Systems (AWS) are the next logical advancement for military technology. There is a significant concern though that by allowing such systems on the battlefield, we are collectively abdicating our moral responsibility. In this thesis, I will examine two arguments that advocate for a total ban on the use of AWS. I call these arguments the “Responsibility” and the “Agency” arguments. After presenting these arguments, I provide my own objections and demonstrate why these arguments fail to convince. I then (...) provide an argument as to why the use of AWS is a rational choice in the evolution of warfare. I conclude my thesis by providing a framework upon which future international regulations regarding AWS could be built. (shrink)