This book offers an overview of the ethical problems posed by Information Warfare, and of the different approaches and methods used to solve them, in order to provide the reader with a better grasp of the ethical conundrums posed by this new form of warfare. -/- The volume is divided into three parts, each comprising four chapters. The first part focuses on issues pertaining to the concept of Information Warfare and the clarifications that need to be made in order to (...) address its ethical implications. The second part collects contributions focusing on Just War Theory and its application to the case of Information Warfare. The third part adopts alternative approaches to Just War Theory for analysing the ethical implications of this phenomenon. Finally, an afterword by Neelie Kroes - Vice President of the European Commission and European Digital Agenda Commissioner - concludes the volume. Her contribution describes the interests and commitments of the European Digital Agenda with respect to research for the development and deployment of robots in various circumstances, including warfare. (shrink)

Due to advances in military technology, there has been an outpouring of research on what are known as autonomous weapon systems (AWS). However, it is common in this literature for arguments to be made without first making clear exactly what definitions one is employing, with the detrimental effect that authors may speak past one another or even miss the targets of their arguments. In this article I examine the U.S. Department of Defense and International Committee of the Red Cross definitions (...) of AWS, showing that these definitions are far broader than some recognize, and that they therefore classify a much larger set of weapons as AWS. I then show that these broader views of AWS have implications for what moral and legal rules we might argue should be applied to such systems. I conclude by arguing there is a greater need for precision and clarity within AWS debates, in order to ensure that researchers are discussing the same weapon systems (autonomous or otherwise) when they argue for or against particular points. The purpose of this article is not to defend any specific view of AWS, nor to further any general endorsement or objection to such systems, but rather to show the importance of argumentative clarity in this debate. (shrink)

Abstract Semi-autonomous robotic weapons are already carving out a role for themselves in modern warfare. Recently, Ronald Arkin has argued that autonomous lethal robotic systems could be more ethical than humans on the battlefield, and that this marks a significant reason in favour of their development and use. Here I offer a critical response to the position advanced by Arkin. Although I am sympathetic to the spirit of the motivation behind Arkin's project and agree that if we decide to develop (...) and use these machines they ought to be programmed to behave ethically, there are several major problems with his view as it stands. At present, it is not clear whether such machines would be capable of behaving more ethically than humans. More importantly, to the extent that humans would remain in the context of war, human moral transgressions will continue, especially in the face of complicated ethical challenges accompanying automated warfare. Moreover, even if machines could be more ethical than humans in certain ways and in certain situations, this says nothing about whether warfare that contains these machines would itself be overall more ethical than warfare that does not include them as participants, or whether the inclusion of lethal robots is the best way to guard against human moral transgressions in war. (shrink)

Currently, the central questions in the philosophical debate surrounding the ethics of automated warfare are (1) Is the development and use of autonomous lethal robotic systems for military purposes consistent with (existing) international laws of war and received just war theory?; and (2) does the creation and use of such machines improve the moral caliber of modern warfare? However, both of these approaches have significant problems, and thus we need to start exploring alternative approaches. In this paper, I ask whether (...) autonomous robots ought to be programmed to be pacifists. The answer arrived at is “Yes”, if we decide to create autonomous robots, they ought to be pacifists. This is to say that robots ought not to be programmed to willingly and intentionally kill human beings, or, by extension, participate in or promote warfare, as something that predictably involves the killing of humans. Insofar as we are the ones that will be determining the content of the robot’s value system, then we ought to program robots to be pacifists, rather than ‘warists’. This is (in part) because we ought to be pacifists, and creating and programming machines to be “autonomous lethal robotic systems” directly violates this normative demand on us. There are no mitigating reasons to program lethal autonomous machines to contribute to or participate in warfare. Even if the use of autonomous lethal robotic systems could be consistent with received just war theory and the international laws of war, and even if their involvement could make warfare less inhumane in certain ways, these reasons do not compensate for the ubiquitous harms characteristic of modern warfare. In this paper, I provide four main reasons why autonomous robots ought to be pacifists, most of which do not depend on the truth of pacifism. The strong claim being argued for here is that automated warfare ought not to be pursued. The weaker claim being argued for here is that automated warfare ought not to be pursued, unless it is the most pacifist option available at the time, and other alternatives have been reasonably explored, and we are simultaneously promoting a (long term) pacifist agenda in (many) other ways. Thus, the more ambitious goal of this paper is to convince readers that automated warfare is something that we ought not to promote or pursue, while the more modest—and I suspect, more palatable—goal is to spark sustained critical discussion about the assumptions underlying the drive towards automated warfare, and to generate legitimate consideration of its pacifist alternatives,in theory, policy, and practice. (shrink)

The use of artificial intelligence (AI) to make high-stakes decisions is sometimes thought to create a troubling responsibility gap – that is, a situation where nobody can be held morally responsible for the outcomes that are brought about. However, philosophers and practitioners have recently claimed that, even though no individual can be held morally responsible, groups of individuals might be. Consequently, they think, we have less to fear from the use of AI than might appear to be the case. This (...) paper assesses this claim. Drawing on existing philosophical models of collective responsibility, I consider whether changing focus from the individual to the collective level can help us identify a locus of responsibility in a greater range of cases of AI deployment. I find that appeal to collective responsibility will be of limited use in filling the responsibility gap: the models considered either do not apply to the case at hand or else the relevant sort of collective responsibility, even if present, will not be sufficient to remove the costs that are often associated with an absence of responsibility. (shrink)

There is increasing speculation within military and policy circles that the future of armed conflict is likely to include extensive deployment of robots designed to identify targets and destroy them without the direct oversight of a human operator. My aim in this paper is twofold. First, I will argue that the ethical case for allowing autonomous targeting, at least in specific restricted domains, is stronger than critics have acknowledged. Second, I will attempt to uncover, explicate, and defend the intuition that (...) even in this context there would be something ethically problematic about such targeting. I argue that an account of the non-consequentialist foundations of the principle of distinction suggests that the use of autonomous weapon systems is unethical by virtue of failing to show appropriate respect for the humanity of our enemies. However, the success of the strongest form of this argument depends upon understanding the robot itself as doing the killing. To the extent that we believe that, on the contrary, AWS are only the means whereby those who order them into action kill, the idea that the use of AWS fails to respect the humanity of our enemy will turn upon an account of what is required by respect that is essentially conventional. Thus, while the theoretical foundations of the idea that AWS are weapons that are “evil in themselves” are weaker than critics have sometimes maintained, they are nonetheless sufficient to the task of demanding a prohibition of the development and deployment of such weapons. (shrink)

The belief that automated technologies will have a salutary effect on war goes back to the late nineteenth century. In 1898, at Madison Square Garden, Nikola Tesla famously showcased the first radi...

May lethal autonomous weapons systems—‘killer robots ’—be used in war? The majority of writers argue against their use, and those who have argued in favour have done so on a consequentialist basis. We defend the moral permissibility of killer robots, but on the basis of the non-aggregative structure of right assumed by Just War theory. This is necessary because the most important argument against killer robots, the responsibility trilemma proposed by Rob Sparrow, makes the same assumptions. We show that the (...) crucial moral question is not one of responsibility. Rather, it is whether the technology can satisfy the requirements of fairness in the re-distribution of risk. Not only is this possible in principle, but some killer robots will actually satisfy these requirements. An implication of our argument is that there is a public responsibility to regulate killer robots ’ design and manufacture. (shrink)

Artificial Intelligence as a buzzword and a technological development is presently cast as the ultimate ‘game changer’ for economy and society; a technology of which we cannot be the master, but which nonetheless will have a pervasive influence on human life. The fast pace with which the multi-billion dollar AI industry advances toward the creation of human-level intelligence is accompanied by an increasingly exaggerated chorus of the ‘incredible miracle’, or the ‘incredible horror’, intelligent machines will constitute for humanity, as the (...) human is gradually replaced by a technologically superior proxy, destined to be configured as a functional component at best, a relic at worst. More than half a century ago, Günther Anders sketched out this path toward technological obsolescence, and his work on ‘Promethean shame’ and ‘Promethean discrepancy’ provides an invaluable means with which to recognise and understand the relationship of the modern human to his/her technological products. In this article, I draw on Anders’s writings to unpack and unsettle contemporary narratives of our relation to AI, with a view toward refocusing attention on the responsibilities we bear in producing such immersive technologies. With Anders, I suggest that we must exercise and develop moral imagination so that the human capacity for moral responsibility does not atrophy in our technologically mediated future. (shrink)

In this paper we discuss the social and ethical issues that arise as a result of digitization based on six dominant technologies: Internet of Things, robotics, biometrics, persuasive technology, virtual & augmented reality, and digital platforms. We highlight the many developments in the digitizing society that appear to be at odds with six recurring themes revealing from our analysis of the scientific literature on the dominant technologies: privacy, autonomy, security, human dignity, justice, and balance of power. This study shows that (...) the new wave of digitization is putting pressure on these public values. In order to effectively shape the digital society in a socially and ethically responsible way, stakeholders need to have a clear understanding of what such issues might be. Supervision has been developed the most in the areas of privacy and data protection. For other ethical issues concerning digitization such as discrimination, autonomy, human dignity and unequal balance of power, the supervision is not as well organized. (shrink)

Autonomous Weapon Systems (AWS) are artificial intelligence systems that can make and act on decisions concerning the termination of enemy soldiers and installations without direct intervention from a human being. In this article, I provide the positive moral case for the development and use of supervised and fully autonomous weapons that can reliably adhere to the laws of war. Two strong, prima facie obligations make up the positive case. First, we have a strong moral reason to deploy AWS (in an (...) otherwise just war) because such systems decrease the psychological and moral risk of soldiers and would-be soldiers. Drones protect against lethal risk, AWS protect against psychological and moral risk in addition to lethal risk. Second, we have a prima facie obligation to develop such technologies because, once developed, we could employ forms of non-lethal warfare that would substantially reduce the risk of suffering and death for enemy combatants and civilians alike. These two arguments, covering both sides of a conflict, represent the normative hill that those in favor of a ban on autonomous weapons must overcome. Finally, I demonstrate that two recent objections to AWS fail because they misconstrue the way in which technology is used and conceptualized in modern warfare. (shrink)

Self‐driving cars hold out the promise of being much safer than regular cars. Yet they cannot be 100% safe. Accordingly, we need to think about who should be held responsible when self‐driving cars crash and people are injured or killed. We also need to examine what new ethical obligations might be created for car users by the safety potential of self‐driving cars. The article first considers what lessons might be learned from the growing legal literature on responsibility for crashes with (...) self‐driving cars. Next, worries about responsibility gaps and retribution gaps from the philosophical literature are introduced. This leads to a discussion of whether self‐driving cars are a form of agents that act independently of human agents. It is suggested that it is better to analyze their apparent agency in terms of human–robot collaborations, within which humans play the most important roles. The next topic is the idea that the safety potential of self‐driving cars might create a duty to either switch to self‐driving cars or seek means of making conventional cars safer. Lastly, there is a short discussion of ethical issues related to safe human–robot coordination within mixed traffic featuring both self‐driving cars and conventional cars. (shrink)

Many ethicists writing about automated systems attribute agency to these systems. Not only that; they seemingly attribute an autonomous or independent form of agency to these machines. This leads some ethicists to worry about responsibility-gaps and retribution-gaps in cases where automated systems harm or kill human beings. In this paper, I consider what sorts of agency it makes sense to attribute to most current forms of automated systems, in particular automated cars and military robots. I argue that whereas it indeed (...) makes sense to attribute different forms of fairly sophisticated agency to these machines, we ought not to regard them as acting on their own, independently of any human beings. Rather, the right way to understand the agency exercised by these machines is in terms of human–robot collaborations, where the humans involved initiate, supervise, and manage the agency of their robotic collaborators. This means, I argue, that there is much less room for justified worries about responsibility-gaps and retribution-gaps than many ethicists think. (shrink)

In this paper, we discuss the ethics of automated driving. More specifically, we discuss responsible human-robot coordination within mixed traffic: i.e. traffic involving both automated cars and conventional human-driven cars. We do three main things. First, we explain key differences in robotic and human agency and expectation-forming mechanisms that are likely to give rise to compatibility-problems in mixed traffic, which may lead to crashes and accidents. Second, we identify three possible solution-strategies for achieving better human-robot coordination within mixed traffic. Third, (...) we identify important ethical challenges raised by each of these three possible strategies for achieving optimized human-robot cordination in this domain. Among other things, we argue that we should not just explore ways of making robotic driving more like human driving. Rather, we ought also to take seriously potential ways of making human driving more like robotic driving. Nor should we assume that complete automation is always the ideal to aim for; in some traffic-situations, the best results may be achieved through human-robot collaboration. Ultimately, our main aim in this paper is to argue that the new field of the ethics of automated driving needs take seriously the ethics of mixed traffic and responsible human-robot coordination. (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)

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)

Unlike human soldiers, autonomous weapons systems are unaffected by psychological factors that would cause them to act outside the chain of command. This is a compelling moral justification for their development and eventual deployment in war. To achieve this level of sophistication, the software that runs AWS will have to first solve two problems: the frame problem and the representation problem. Solutions to these problems will inevitably involve complex software. Complex software will create security risks and will make AWS critically (...) vulnerable to hacking. I claim that the political and tactical consequences of hacked AWS far outweigh the purported advantages of AWS not being affected by psychological factors and always following orders. Therefore, one of the moral justifications for the deployment of AWS is undermined. (shrink)

While there are many issues to be raised in using lethal autonomous robotic weapons (beyond those of remotely operated drones), we argue that the most important question is: should the decision to take a human life be relinquished to a machine? This question is often overlooked in favor of technical questions of sensor capability, operational questions of chain of command, or legal questions of sovereign borders. We further argue that the answer must be ?no? and offer several reasons for banning (...) autonomous robots. (1) Such a robot treats a human as an object, instead of as a person with inherent dignity. (2) A machine can only mimic moral actions, it cannot be moral. (3) A machine run by a program has no human emotions, no feelings about the seriousness of killing a human. (4) Using such a robot would be a violation of military honor. We therefore conclude that the use of an autonomous robot in lethal operations should be banned. (shrink)

The purpose of this article is to provide a multi-perspective examination of one of the most important contemporary security issues: weaponized, and especially lethal, artificial intelligence. This technology is increasingly associated with the approaching dramatic change in the nature of warfare. What becomes particularly important and evermore intensely contested is how it becomes embedded with and concurrently impacts two social structures: ethics and law. While there has not been a global regime banning this technology, regulatory attempts at establishing a ban (...) have intensified along with acts of resistance and blocking coalitions. This article aims to reflect on the prospects and limitations, as well as the ethical and legal intensity, of the emerging regulatory framework. To allow for such an investigation, a power-analytical approach to studying international security regimes is utilized. (shrink)

Warfare is becoming increasingly automated, from automatic missile defense systems to micro-UAVs (WASPs) that can maneuver through urban environments with ease, and each advance brings with it ethical questions in need of resolving. Proponents of lethal autonomous weapons systems (LAWS) provide varied arguments in their favor; robots are capable of better identifying combatants and civilians, thus reducing "collateral damage"; robots need not protect themselves and so can incur more risks to protect innocents or gather more information before using deadly force; (...) robots can assess situations more quickly and do so without emotion, reducing the likelihood of fatal mistakes due to human error; and sending robots to war protects our own soldiers from harm. However, these arguments only point in favor of autonomous weapons systems, failing to demonstrate why such systems need be made *lethal*. In this paper I argue that if one grants all of the proponents' points in favor of LAWS, then, contrary to what might be expected, this leads to the conclusion that it would be both immoral and illegal to deploy *lethal* autonomous weapons, because the many features that speak in favor of them also undermine the need for them to be programmed to take lives. In particular, I argue that such systems, if lethal, would violate the moral and legal principle of necessity, which forbids the use of weapons that impose superfluous injury or unnecessary harm. I conclude by highlighting that the argument is not against autonomous weapons per se, but only against *lethal* autonomous weapons. (shrink)

It is a widely accepted claim that whether a given technology is being justly used in the real world is a separate question from moral issues intrinsic to technology. We should not blame the technology itself for immoral ways it happens to be used. There is obviously some truth to that. But I want to argue that what we see in the real world cases of drone killings is not merely an accidental or contingent use of drone technology. The real (...) life use reflects to a large extent features that are inherent of the dominant drone systems that have been developed to date. What is being imagined "in principle" is thus to a large extent drone killings in dreamland. I use an historic example as a point of reference and departure: the debate over the lawfulness of nuclear weapons. (shrink)

Artificial Intelligence (AI) offers numerous opportunities to improve military Intelligence, Surveillance, and Reconnaissance operations. And, modern militaries recognize the strategic value of reducing civilian harm. Grounded in these two assertions we focus on the transformative potential that AI ISR systems have for improving the respect for and protection of humanitarian relief operations. Specifically, we propose that establishing an interface for humanitarian organizations to military AI ISR systems can improve the current state of ad-hoc humanitarian notification systems, which are notoriously unreliable (...) and ineffective for both parties to conflict and humanitarian organizations. We argue that such an interface can improve military awareness and understanding while also ensuring that states better satisfy their international humanitarian law obligations to respect and protect humanitarian relief personnel. (shrink)

Theories of action tend to require agents to have mental representations. A common trope in discussions of artificial intelligence (AI) is that they do not, and so cannot be agents. Properly understood there may be something to the requirement, but the trope is badly misguided. Here we provide an account of representation for AI that is sufficient to underwrite attributions to these systems of ownership, action, and responsibility. Existing accounts of mental representation tend to be too demanding and unparsimonious. We (...) offer instead a minimalist account of representation that ascribes only those features necessary for explaining action, trimming the “extra” features in existing accounts (e.g., representation as a “mental” phenomenon). Our account makes ‘representation’ whatever it is that, for example, the thermostat is doing with the thermometer. The thermostat is disposed to act as long as the thermometer is outside a given range of parameters.. Our account allows us to offer a new perspective on the ‘responsibility gap’, a problem raised by the actions of sophisticated machines: because nobody has enough control over the machine’s actions to be able to assume responsibility, conventional approaches to responsibility ascription are inappropriate. We argue that there is a distinction between finding responsible and holding responsible and, in order to resolve the responsibility gap, we must first clarify the conceptual terrain on which agent is in fact responsible. (shrink)

One of the objectives in the field of artificial intelligence for some decades has been the development of artificial agents capable of coexisting in harmony with people and other systems. The computing research community has made efforts to design artificial agents capable of doing tasks the way people do, tasks requiring cognitive mechanisms such as planning, decision-making, and learning. The application domains of such software agents are evident nowadays. Humans are experiencing the inclusion of artificial agents in their environment as (...) unmanned vehicles, intelligent houses, and humanoid robots capable of caring for people. In this context, research in the field of machine ethics has become more than a hot topic. Machine ethics focuses on developing ethical mechanisms for artificial agents to be capable of engaging in moral behavior. However, there are still crucial challenges in the development of truly Artificial Moral Agents. This paper aims to show the current status of Artificial Moral Agents by analyzing models proposed over the past two decades. As a result of this review, a taxonomy to classify Artificial Moral Agents according to the strategies and criteria used to deal with ethical problems is proposed. The presented review aims to illustrate (1) the complexity of designing and developing ethical mechanisms for this type of agent, and (2) that there is a long way to go (from a technological perspective) before this type of artificial agent can replace human judgment in difficult, surprising or ambiguous moral situations. (shrink)

Despite resistance from various societal actors, the development and deployment of lethal autonomous weaponry to warzones is perhaps likely, considering the perceived operational and ethical advantage such weapons are purported to bring. In this paper, it is argued that the deployment of truly autonomous weaponry presents an ethical danger by calling into question the ability of such weapons to abide by the Laws of War. This is done by noting the resonances between battlefield target identification and the process of ontic-ontological (...) investigation detailed in Martin Heidegger’s Being and Time, before arguing that the nature of lethal autonomous weaponry precludes them from being able to engage in such investigations—a key requisite for abiding by the relevant legislation that governs battlefield conduct. (shrink)

Value Sensitive Design (VSD) is a design methodology developed by Batya Friedman and Peter Kahn (2003) that brings in moral deliberations in an early stage of a design process. It assumes that neither technology itself is value neutral, nor shifts the value-ladennes to the sole usage of technology. This paper adds to emerging literature onVSD for autonomous weapons systems development and discusses extant literature on values in autonomous systems development in general and in autonomous weapons development in particular. I identify (...) opportunities, such as public debates, and threats, such as the classified nature of the design process, for VSD in autonomous weapons development. This paper contributes to academic debates about the non-neutrality of technology by pointing out that values have been and can be explicitly designed into autonomous systems. It is informative for policy makers and designers who are tasked with developing actual autonomous weapons or policies around such systems, as they learn about an established design methodology that is sensitive to societal concerns and industry needs and that can be applied to autonomous weapons systems. (shrink)

In this article we focus on the jus in bello principle of necessity for guiding the use of autonomous weapons systems (AWS). We begin our analysis with an account of the principle of necessity as entailing the requirement of minimal force found in Just War Theory, before highlighting the absence of this principle in existing work on AWS. Overlooking this principle means discounting the obligations that combatants have towards one another in times of war. We argue that the requirement of (...) minimal force is an important requirement for considering ethical uses of force. In particular, we distinguish between lethal and non-lethal purposes of use of force and introduce the prospect of non-lethal AWS before reviewing a number of challenges which AWS pose with respect to their non-lethal use. The challenges arise where AWS generate unpredictable outcomes impinging upon the situational awareness required of combatants to ensure that their actions meet the requirement of minimal force. We conclude with a call for further research on the ethical implications of non-lethal uses of AWS as a necessary contribution for assessing the moral permissibility of AWS. (shrink)

This paper proposes a methodological redirection of the philosophical debate on artificial moral agency in view of increasingly pressing practical needs due to technological development. This “normative approach” suggests abandoning theoretical discussions about what conditions may hold for moral agency and to what extent these may be met by artificial entities such as AI systems and robots. Instead, the debate should focus on how and to what extent such entities should be included in human practices normally assuming moral agency and (...) responsibility of participants. The proposal is backed up by an analysis of the AMA debate, which is found to be overly caught in the opposition between so-called standard and functionalist conceptions of moral agency, conceptually confused and practically inert. Additionally, we outline some main themes of research in need of attention in light of the suggested normative approach to AMA. (shrink)

As new military technologies change the character of war by empowering agents in new ways, it can become more difficult for our ethics of war to achieve the right balance between moral principle and necessity. Indeed, there is an ever-growing literature that seeks to apply, defend and / or update the ethics of war in light of what is often claimed to be an unprecedented period of rapid advancement in military robotics, or warbots. To increase confidence that our approach to (...) this development finds success in appropriately constraining war, this article compares our current discourse to the ethical debate over the rise of air power during the interwar period. As moral norms largely failed to constrain air power in World War II, by highlighting the interrelated processes of technological change, ethical debate, and the eventual reconciliation of war practice and war ethics, this historical case offers insights that can help military ethicists maintain their “critical edge” as remote and autonomous robotic weapons continue to mature and proliferate. (shrink)

We propose a multi-step evaluation schema designed to help procurement agencies and others to examine the ethical dimensions of autonomous systems to be applied in the security sector, including autonomous weapons systems.

I argue for responsibility internalism. That is, moral responsibility (i.e., accountability, or being apt for praise or blame) depends only on factors internal to agents. Employing this view, I also argue that no one is responsible for what AI does but this isn’t morally problematic in a way that counts against developing or using AI. Responsibility is grounded in three potential conditions: the control (or freedom) condition, the epistemic (or awareness) condition, and the causal responsibility condition (or consequences). I argue (...) that causal responsibility is irrelevant for moral responsibility, and that the control condition and the epistemic condition depend only on factors internal to agents. Moreover, since what AI does is at best a consequence of our actions, and the consequences of our actions are irrelevant to our responsibility, no one is responsible for what AI does. That is, the so-called responsibility gap exits. However, this isn’t morally worrisome for developing or using AI. Firstly, I argue, current AI doesn’t generate a new kind of concern about responsibility that the older technologies don’t. Then, I argue that responsibility gap is not worrisome because neither responsibility gap, nor my argument for its existence, entails that no one can be justly punished, held accountable, or incurs duties in reparations when AI causes a harm. (shrink)

Would it be ethical to deploy autonomous weapon systems (AWS) if they were unable to reliably recognize when enemy forces had surrendered? I suggest that an inability to reliably recognize surrender would not prohibit the ethical deployment of AWS where there was a limited window of opportunity for targets to surrender between the launch of the AWS and its impact. However, the operations of AWS with a high degree of autonomy and/or long periods of time between release and impact are (...) likely to remain controversial until they have the capacity to reliably recognize surrender. (shrink)

Jotta olisimme moraalisesti vastuussa teoistamme, meidän on kyettävä muodostamaan käsityksiä oikeasta ja väärästä ja toimimaan ainakin jossain määrin niiden mukaisesti. Jos olemme täysivaltaisia moraalitoimijoita, myös ymmärrämme miksi jotkin teot ovat väärin, ja kykenemme siten joustavasti mukauttamaan toimintaamme eri tilanteisiin. Esitän, ettei näköpiirissä ole tekoälyjärjestelmiä, jotka kykenisivät aidosti välittämään oikein tekemisestä tai ymmärtämään moraalin vaatimuksia, koska nämä kyvyt vaativat kokemustietoisuutta ja kokonaisvaltaista arvostelukykyä. Emme siten voi sysätä koneille vastuuta teoistaan. Meidän on sen sijaan pyrittävä rakentamaan keinotekoisia oikeintekijöitä - järjestelmiä, jotka eivät (...) ole moraalitoimijoita, mutta kuitenkin toimivat likipitäen siten kuin me itse parhaimmillamme tekisimme. (shrink)