The underlying thesis of the research in ethical autonomy for lethal autonomous unmanned systems is that they will potentially be capable of performing more ethically on the battlefield than are human soldiers. In this article this hypothesis is supported by ongoing and foreseen technological advances and perhaps equally important by an assessment of the fundamental ability of human warfighters in today's battlespace. If this goal of better-than-human performance is achieved, even if still imperfect, it can result in a (...) reduction in noncombatant casualties and property damage consistent with adherence to the Laws of War as prescribed in international treaties and conventions, and is thus worth pursuing vigorously. (shrink)

Unmanned systems in military applications will often play a role in determining the success or failure of combat missions and thus in determining who lives and dies in times of war. Designers of UMS must therefore consider ethical, as well as operational, requirements and limits when developing UMS. I group the ethical issues involved in UMS design under two broad headings, Building Safe Systems and Designing for the Law of Armed Conflict, and identify and discuss a number (...) of issues under each of these headings. As well as identifying issues, I offer some analysis of their implications and how they might be addressed. (shrink)

This paper investigates the antidisturbance formation control problem for a class of cluster aerospace unmanned systems suffering from multisource high-dynamic uncertainties. Firstly, to estimate and compensate the uncertainties existing in CAUS coordinate dynamics, an adaptive antidisturbance formation control law, which is combined by a robust adaptive control law and the second order disturbance observer, has been designed. Secondly, aiming at the adverse influences caused by the nonlinear time-varying nonlinearities existing in the formation flight dynamics, the radial basis function (...) neural network is introduced. Furthermore, considering the rapidly varying characteristics of the aforementioned formation flight nonlinearities, a novel board RBFNN has been constructed and utilized to improve the approximation and compensation performance. In virtue of the fusing of the B-RBFNN and the second-order disturbance observer-based adaptive formation control law, the rapid response rate and the higher control accuracy of the formation control system can be achieved. As a result, a novel B-RBFNN-based intelligence adaptive antidisturbance formation control algorithm has been established for CAUS trajectory coordination and formation flight. Numerical simulation results are proposed to illustrate the effectiveness and advantages of the proposed B-RBFNN-based intelligent adaptive formation control method for the CAUS. (shrink)

Over the past decade, unmanned aerial vehicles (UAVs) have received increasing attention and are being used in the areas of harvesting, videotaping, and the military industry. In this article, the consideration is focused on areas where video recording is required for ground inspections. This paper describes modern communication technologies and systems that enable interaction and data exchange between UAVs and a ground control station (GCS). This article focuses on different architectures of communication systems, establishing the characteristics of (...) each to identify the preferred architecture that does not require a significant consumption of resources and whose data transmission is reliable. A coherent architecture that includes multiple UAVs, wireless sensor networks, cellular networks, GCSs, and satellite network to duplicate communications for enhanced system security has been offered. Some reliability problems have been discussed, the solution of which was suggested to be a backup connection via satellite, i.e., a second connection. This study focused not only on the communication channels but also on the data exchanged between system components, indicating the purpose of their application. Some of the communication problems and shortcomings of various systems, as well as further focus areas and improvement recommendations were discussed. (shrink)

The article considers the method of factor cluster analysis which allows automatically retrain the onboard recognition system of an unmanned aerial system. The task of informational synthesis of an on-board system for identifying frames is solved within the information-extreme intellectual technology of data analysis, based on maxi- mizing the informational ability of the system during machine learning. Based on the functional approach to modeling cognitive processes inherent to humans during forming and making classification decisions, it was proposed a categorical (...) model in the form of a direct graph. According to this model, the algorithmic support of the information extreme factor cluster analysis is developed. It allows automatically retrain the system when expanding the alphabet of recognition classes. According to this algorithm, the on-board recognition system preliminarily carries out the information-extremal machine learning of recognition classes of relatively low power. When new classes appear, their unclassified structured recognition attribute vectors form additional learning matrixes. After reaching a representational volume, additional learning matrix joins the input learning matrix and the on-board recognition system is retrained. Forming additional learning matrixes of new recognition classes is carried out by the agglomerative algorithm of cluster analysis of unclassified vectors by k-means clustering. As a criterion of optimizing machine-learning parameters, we used the modified Kullback criterion which is a functional of the exact characteristics of classification solutions. To increase the functional efficiency of factor cluster analysis, it is proposed to increase the depth of machine learning by optimizing the parameters of image processing frames. (shrink)

The paper deals with the governance of Unmanned Aircraft Systems in European law. Three different kinds of balance have been struck between multiple regulatory systems, in accordance with the sector of the governance of UAS which is taken into account. The first model regards the field of civil aviation law and its European Union ’s regulation: the model looks like a traditional mix of top-down regulation and soft law. The second model concerns the EU general data protection (...) law, the GDPR, which has set up a co-regulatory framework summed up with the principle of accountability also, but not only, in the field of drones. The third model of governance has been adopted by the EU through methods of legal experimentation and coordination mechanisms for UAS. The overall aim of the paper is to elucidate the ways in which such three models interact, insisting on differences and similarities with other technologies, and further legal systems. (shrink)

Floods are one of the main natural disasters, which cause huge damage to property, infrastructure, and economic losses every year. There is a need to develop an approach that could instantly detect flooded extent. Satellite remote sensing has been useful in emergency responses; however, with significant weakness due to long revisit period and unavailability during rainy/cloudy weather conditions. In recent years, unmanned aerial vehicle systems have been widely used, especially in the fields of disaster monitoring and complex environments. (...) This study employs deep learning models to develop an automated detection of flooded buildings with UAV aerial images. The method was explored in a case study for the Kangshan levee of Poyang Lake. Experimental results show that the inundation for the focal buildings and vegetation can be detected from the images with 88% and 85% accuracy, respectively. And further, we can estimate the buildings’ inundation area according to the UAV images and flight parameters. The result of this study shows promising value of the accuracy and timely visualization of the spatial distribution of inundation at the object level for the end users from flood emergency response sector. (shrink)

The proposed article is devoted to the description of an intelligent urban passenger transport system based on unmanned electric vehicles, sequentially moving along a separate line. This system is a passenger transport system of a new urban mobility, formed under the influence of social conditions generated by high population density in cities, that suppose the development of pedestrian zones and ecological modes of transport, "transport as a service", etc. In this historical context, public transport systems acquire special relevance. (...) The described transport system belongs to intelligent systems, since it is capable of functioning in autonomous mode without human intervention, adaptively responding to changes in the dynamics of the flow of passengers during the day. Passengers are transported by electric cars, which can be combined into cassettes according to the principle of road trains based on the transportation plan drawn up by the intelligent center of the transport system according to the matrix of correspondences, filled in taking into account the incoming requests for service from passengers. When drawing up a transportation plan, the algorithms of the transport system give preference to transportation according to the "source-destination" principle, that is, when the passenger goes to the destination with a minimum number of intermediate stops, and ideally without them. The paper formulates also a criterion of arising of a conflict in the movement of vehicles, which allows to identify situations when an electric vehicle driving in front can detain vehicles following after. The work has relevance because the criterion will allow to make adjustments in the schedule of movement of vehicles and exclude the loss of time and energy that carries the transport system during braking and acceleration of electric cars, as well as to reduce waiting time and travel of passengers. (shrink)

For unmanned aerial vehicle, object detection at different scales is an important component for the visual recognition. Recent advances in convolutional neural networks have demonstrated that attention mechanism remarkably enhances multiscale representation of CNNs. However, most existing multiscale feature representation methods simply employ several attention blocks in the attention mechanism to adaptively recalibrate the feature response, which overlooks the context information at a multiscale level. To solve this problem, a multiscale feature filtering network is proposed in this paper for (...) image recognition system in the UAV. A novel building block, namely, multiscale feature filtering module, is proposed for ResNet-like backbones and it allows feature-selective learning for multiscale context information across multiparallel branches. These branches employ multiple atrous convolutions at different scales, respectively, and further adaptively generate channel-wise feature responses by emphasizing channel-wise dependencies. Experimental results on CIFAR100 and Tiny ImageNet datasets reflect that the MFFNet achieves very competitive results in comparison with previous baseline models. Further ablation experiments verify that the MFFNet can achieve consistent performance gains in image classification and object detection tasks. (shrink)

Aiming at the suspension cable system of an unmanned helicopter with sensor fault under complex environment, this paper studies the robust antiswing tolerant control scheme. To suppress the swing of the hanging load when the unmanned helicopter is in the forward flight state, a nonlinear line motion model is firstly established. Considering the sensor fault of the unmanned helicopter, a sensor fault estimator is developed. By using the fault estimator output, the robust antiswing tolerant controller is proposed (...) using the backstepping technique and sliding mode control method. Under the designed robust antiswing tolerant controller, the desired tracking control performance can be obtained and the swing angle of the load is guaranteed small under the sensor fault. Furthermore, the closed-loop system stability is analyzed by using the Lyapunov technique. Simulation studies are given to show the efficiency of the designed robust antiswing control strategy. (shrink)

Industry groups engage in venue shifting when they seek to overturn or alter restrictive regulations imposed by one political venue through another. A critical step in this process is resolving uncertainties surrounding the preference of the targeted venue and the nature of the relevant policy proposal. While existing studies emphasize a long-term trial-and-error process of policy learning, we focus on nascent industries and argue that ventures seek other information sources to resolve these uncertainties quickly. In particular, nascent industry groups are (...) likely to perceive that the targeted venue will support their policy proposal if the targeted venue is ideologically distant from the venue that has enacted the restrictive regulations, if the targeted venue has recently supported other nascent industry groups’ similar policy proposals, or if the industry groups themselves are more exposed to industry peers’ success in promoting the same policy proposal in other jurisdictions. Under these conditions, the industry groups invest more to influence the targeted venue in response to restrictive regulations enacted by other venues. We find support for our theory by examining how from 2013 to 2019 the small unmanned aircraft systems industry trade associations in the United States lobbied state governments to nullify local regulations. (shrink)

The prospect of increasingly autonomous military robots has raised concerns about the obfuscation of human responsibility. This papers argues that whether or not and to what extent human actors are and will be considered to be responsible for the behavior of robotic systems is and will be the outcome of ongoing negotiations between the various human actors involved. These negotiations are about what technologies should do and mean, but they are also about how responsibility should be interpreted and how (...) it can be best assigned or ascribed. The notion of responsibility practices, as the paper shows, provides a conceptual tool to examine these negotiations as well as the interplay between technological development and the ascription of responsibility. To illustrate the dynamics of responsibility practices the paper explores how the introduction of unmanned aerial vehicles has led to (re)negotiations about responsibility practices, focusing particularly on negotiations within the US Armed Forces. (shrink)

Unmanned (or Uninhabited) Aerial Vehicles are a key part of the American military's so-called revolution in military affairs (RMA) as practiced over Iraq. They are also part of the drive to shift agency away from humans and toward machines. This article considers the ways in which humans have, in calling on high technologies to distance them from what the military calls the “dull, the dirty, and the dangerous,” hoped to avoid responsibility for murder in wartime. In examining the claims (...) of weapons manufacturers and their military customers, the article focuses on the concept of “systems of systems” and the various outcomes such battlespace imaginings might have for human beings. The article concludes that the RMA entertains a fantasy of human agency while technological systems call out to and conjure up other technological systems that are possessed not only of their own logics but also purposes that are hidden and disturbing. (shrink)

Although most styles of military ethics are hybrids that draw on multiple ethical theories, they are usually based primarily on the model of Aristotelian virtue ethics. Virtue ethics is well-suited for regulating the conduct of soldiers who have to make quick decisions on the battlefield, but its applicability to military personnel is threatened by the growing use of unmanned weapon systems. These weapons disrupt virtue ethics’ institutional and cultural basis by changing what it means to display virtue and (...) transforming the roles soldiers perform and the nature of the military profession itself. I argue that in light of these challenges to virtue ethics, at least as it is traditionally understood within the armed forces, soldiers operating unmanned weapons require a more heavily rule-based approach to military ethics. (shrink)

Several robotic automation systems, such as unmanned aerial vehicles (UAVs), are being used in combat today. This evokes ethical questions. In this paper, it is argued that UAVs, more than any other weapon, may determine which normative theory the interpretation of the laws of war (LOW) will be based on. UAVs have advantages in terms of reducing casualties for the UAV possessor, but they may at the same time make war seem more like a risk-free enterprise, much like (...) a computer game, lowering the threshold for starting a war. This indicates the importance of revising the LOW, or adding some rules that focus specifically on UAVs. (shrink)

The formation control issue for a group of underactuated unmanned surface vehicles is discussed in the paper, and a staged finite-time control strategy for the USVs is proposed. Firstly, we try to steer each USV to its own starting point in the formation for a limited time, under the initial condition that each of these vehicles is parked at random. To deal with the nonholonomic behavior of the system, the dynamics of the USV is transformed into cascade systems. (...) Then, the finite-time controller is designed for each vehicle based on homogeneity theory. After each USV reaches its own starting point with desired orientation, the model of the vehicle is decomposed into two subsystems under the Serret-Frenet frame. In order to maintain the formation pattern, two finite-time distributed controllers are developed for the surge subsystem and the yaw subsystem, respectively. The settling time for the staged control strategy is limited. Numerical simulations are carried out to illustrate the effectiveness of the proposed formation control strategy. (shrink)

The quality of service of a user in user-centric unmanned aerial vehicle group is degraded by complex cochannel interference; hence, a cooperative game power control algorithm in UUAVG is proposed. The algorithm helps to establish a downlink power control model of the UUAVG, construct a product of the signal to interference noise ratio function of each user as a utility function of the cooperative game, and deduce the optimal power control scheme using the Lagrange function. This scheme reduces the (...) interference of the service unmanned aerial vehicle to edge users and improves the communication quality of all the users as well as the throughput of the entire system. Simulation results show that the average throughput of the CGPC algorithm improved by 10.32% compared with the traditional Stackelberg Game based Nonunified Pricing Power Control algorithm. This shows that the CGPC algorithm can effectively reduce the transmission power of the cooperative UAV and enhance the capacity of the entire system, ensuring communication quality. (shrink)

Remotely piloted aviation systems or ‘drones’ are well known for their military applications, but could also be used for a range of non-military applications for state, industrial, commercial and recreational purposes. The technology is advanced and regulatory changes are underway which will allow their use in domestic airspace. As well as the functional and economic benefits of a strong civil RPAS sector, the potential benefits for the military RPAS sector are also widely recognised. Several actors have nurtured this dual-use (...) aspect of civil RPAS development. However, concerns have been raised about the public rejecting the technology because of their association with military applications and potentially controversial applications, for example in policing and border control. In contrast with the enthusiasm for dual-use exhibited throughout the EC consultation process, the strategy for avoiding public rejection devised in its roadmap would downplay the connection between military and non-military RPAS and focus upon less controversial applications such as search and rescue. We reflect upon this contrast in the context of the European agenda of responsible research and innovation. In doing so, we do not rely upon critique of drones per se, in their neither their civil nor military guise, but explore the extent to which current strategies for managing their public acceptability are compatible with a responsible and socially beneficial development of RPAS for civil purposes. (shrink)

The paper addresses the use of heterogeneous ensembles of intelligent unmanned vehicles in such a perspective field of innovations as an unmanned fishery. The issues of joint activity of unmanned vehicles of different types in fishing operations based on intelligent technologies are investigated. The “smart fishing” approach based on the joint fishing operation model is proposed. The operational framework that includes missions, roles, and activity scenarios embedded in the discretized spatial model is presented. The scenario activities are (...) considered as the sequences of pentad that determine executing specific functions concerning the specified waypoint, timepoints, and the states of vehicles. The definition of the plan as the scenario prototype that needs adjusting to the conditions of the situational context is proposed. The coordination problem regarding the joint activities of the unmanned vehicles and their scenarios is defined and the coordination framework based on the distributed common board model and coordination primitives is presented. The prototype of the intelligent scenario-based system including the implementation of both operational and coordination frameworks developed for the control of unmanned vehicles is described. This system makes unmanned vehicles capable to absorb all the latest advances in intelligent technologies to perform smart fishing operations jointly in a large heterogeneous group. The proposed approach to smart fishing using intelligent technologies makes it possible to detach fishermen from the fishing activities dangerous to their life and health, to reduce significantly poaching and illegal fishing, to increase the overall efficiency of fishing operations, and even to save the marine ecosystem. (shrink)

This work presents a system to detect small boats to help tackle the problem of this type of perilous immigration. The proposal makes extensive use of emerging technologies like Unmanned Aerial Vehicles combined with a top-performing algorithm from the field of artificial intelligence known as Deep Learning through Convolutional Neural Networks. The use of this algorithm improves current detection systems based on image processing through the application of filters thanks to the fact that the network learns to distinguish (...) the aforementioned objects through patterns without depending on where they are located. The main result of the proposal has been a classifier that works in real time, allowing the detection of pateras and people, kilometres away from the coast. This could be very useful for Search and Rescue teams in order to plan a rescue before an emergency occurs. Given the high sensitivity of the managed information, the proposed system includes cryptographic protocols to protect the security of communications. (shrink)

The article describes the application of the cassette method of passenger transportation, taking into account the dynamics of passenger traffic during the day by means of an intelligent transport system based on unmanned electric vehicles. The calculation of the required number of electric cars for the cassette for a one-time fulfillment of the delivery plan is presented.

We describe a novel affect-inspired mechanism to improve the performance of computational systems operating in dynamic environments. In particular, we designed a mechanism that is based on aspects of the fear response in humans to dynamically reallocate operating system-level central processing unit (CPU) resources to processes as they are needed to deal with time-critical events. We evaluated this system in the MINIX® and Linux® operating systems and in three different testing environments (two simulated, one live). We found the (...) affect-based system was not only able to react more rapidly to time-critical events as intended, but since the dynamic processes for handling these events did not need to use significant CPU when they were not in time-critical situations, our simulated unmanned aerial vehicle (UAV) was able to perform even non-emergency tasks at a higher level of efficiency and reactivity than was possible in the standard implementation. (shrink)

In this study, an adaptive output feedback fault tolerant control scheme is proposed for a class of multi-input and multioutput nonlinear systems with multiple constraints. The neural network is adopted to handle the unknown nonlinearity by means of its superior approximation capability. Based on it, the state observer is designed to estimate the unmeasured states, and the nonlinear disturbance observer is constructed to tackle the external disturbances. In addition, the Nussbaum function is utilized to cope with the actuator faults, (...) which are coupled with the unknown control directions. Combining with the Lyapunov theory, a NN-based output feedback FTC law is developed for the MIMO nonlinear systems, and the boundedness of all closed-loop system error signals is proved. Simulation results on the unmanned helicopter are performed to demonstrate the effectiveness of the proposed controller. (shrink)

ABSTRACTTwo categories of ethical questions surrounding military autonomous systems are discussed in this article. The first category concerns ethical issues regarding the use of military autonomous systems in the air and in the water. These issues are systematized with the Laws of Armed Conflict as a backdrop. The second category concerns whether autonomous systems may affect the ethical interpretation of LOAC. It is argued that some terms in LOAC are vague and can be interpreted differently depending on (...) which ethical normative theory is used, which may increase with autonomous systems. The impact of Unmanned Aerial Vehicles on the laws of war will be discussed and compared to Maritime Autonomous Systems. The conclusion is that there is need for revisions of LOAC regarding autonomous systems, and that the greatest ethically relevant difference between UAVs and MAS has to do with issues connected to jus ad bellum – particularly lowering the threshold for starting war – but also the sen... (shrink)

Unmanned systems bring risk asymmetry in war to a new level, making martial virtues such as physical courage by and large obsolete. Nonetheless, the dominant view within the military is that using unmanned systems that remove the risks for military personnel involved is not very different from using aircrafts that drop bombs from a high altitude. According to others, however, the use of unmanned systems and the riskless killing they make possible do raise a (...) host of new issues, for instance the question to what extent the willingness to take risks is part of the military profession. This article addresses that existential question, but also the question of whether the elimination of all risk would make the military profession a less moral one. To that end, it juxtaposes the military viewpoint that riskless killing by means of drones is morally uninteresting with the more critical viewthat such riskless killing is in fact highly problematic. (shrink)

Most unmanned systems used in operations today are unarmed and mainly used for reconnaissance and mine clearing, yet the increase of the number of armed military robots is undeniable. The use of these robots raises some serious ethical questions. For instance: who can be held morally responsible in reason when a military robot is involved in an act of violence that would normally be described as a war crime? In this article, we critically assess the attribution of responsibility (...) with respect to the deployment of both non-autonomous and non-learning autonomous lethal military robots. We will start by looking at the role of those with whom responsibility normally lies, the commanders. We argue that this is no different in the case of the above mentioned robots. After that, we will turn to those at the beginning and the end of the causal chain, respectively the manufacturers and designers, and the human operators who remotely control armed military robots from behind a computer screen. (shrink)

Although most unmanned systems that militaries use today are still unarmed and predominantly used for surveillance, it is especially the proliferation of armed military robots that raises some serious ethical questions. One of the most pressing concerns the moral responsibility in case a military robot uses violence in a way that would normally qualify as a war crime. In this chapter, the authors critically assess the chain of responsibility with respect to the deployment of both semi-autonomous and (learning) (...) autonomous lethal military robots. They start by looking at military commanders because they are the ones with whom responsibility normally lies. The authors argue that this is typically still the case when lethal robots kill wrongly – even if these robots act autonomously. Nonetheless, they next look into the possible moral responsibility of the actors at the beginning and the end of the causal chain: those who design and manufacture armed military robots, and those who, far from the battlefield, remotely control them. (shrink)

While in many countries the use of unmanned systems is still in its infancy, other countries, most notably the US and Israel, are much ahead. Most of the systems in operation today are unarmed and are mainly used for reconnaissance and clearing improvised explosive devices. But over the last years the deployment of armed military robots is also on the increase, especially in the air. This might make unethical behavior less likely to happen, seeing that unmanned (...) systems are immune to what are considered to be main causes of misconduct on the battlefield: frustration, boredom, and anger. The use of robots raises some ethical questions, though, and this paper attempts to give an overview of issues at stake, such as the role of emotions, civilian casualties, just war theory, and responsibility. (shrink)

This article provides a detailed description of robotic weapons and unmanned systems currently used by the U.S. Military and its allies, and an ethical assessment of their actual or potential use on the battlefield. Firstly, trough a review of scientific literature, reports, and newspaper articles, a catalogue of ethical problems related to military robotics is compiled. Secondly, possible solutions for these problems are offered, by relying also on analytic tools provided by the new field of roboethics. Finally, the (...) article explores possible future developments of military robotics and present six reasons why a war between humans and automata is unlikely to happen in the 21st century. (shrink)

Abstract This article evaluates the ?drive toward greater autonomy? in lethally-armed unmanned systems. Following a summary of the main criticisms and challenges to lethal autonomy, both engineering and ethical, raised by opponents of this effort, the article turns toward solutions or responses that defense industries and military end users might seek to incorporate in design, testing and manufacturing to address these concerns. The way forward encompasses a two-fold testing procedure for reliability incorporating empirical, quantitative benchmarks of performance in (...) compliance with formalized and programmable rules of engagement, and a conception of ?due care? in product liability. This would be designed in analogy with procedures currently followed by well-intentioned governments and militaries with their own (human) military personnel, both to ensure against failure, and to accept responsibility and compensate victims of inadvertent and unintended accidents. The procedure is designed specifically to address objections first posed by Robert Sparrow (2007) and Noel Sharkey (2007), and echoed in P.W. Singer's critically acclaimed Wired for War (2009), that lethal autonomous systems cannot be meaningfully held accountable for commission of war crimes, and thus the development, manufacture, and deployment of such systems would constitute a violation of international law. (shrink)

Until recently most militaries tended to see moral issues through the lens of rules and regulations. Today, however, many armed forces consider teaching virtues to be an important complement to imposing rules and codes from above. A closer look reveals that it is mainly established military virtues such as honour, courage and loyalty that dominate both the lists of virtues and values of most militaries and the growing body of literature on military virtues. Although there is evidently still a role (...) for these traditional martial virtues, it is equally evident that they are not particularly relevant to, for instance, military personnel operating drones. This chapter looks into the ethics of unmanned warfare from the perspective of military virtues and military ethics education, and addresses the question of what we need to solve that just-mentioned misalignment: 1) a new set of virtues; 2) a different interpretation of the existing virtues; or 3) a different approach altogether, that is, an alternative to teaching virtues? That we have to think about such questions is at least partly because unmanned systems bring risk asymmetry in war to a new level, making warlike virtues such as physical courage by and large obsolete. The last section of this chapter therefore addresses the question: to what extent does the possibility of riskless warfare makes drone use ‘virtue-less’? (shrink)

Today, with the advent of unmanned systems, military hopes are attached to the idea that battles can be fought with soldiers pressing buttons in distant command centres. However, soldiers must now be highly trained, super strong and have the intelligence and mental capacity to handle the highly complex and dynamic military operating environment. This book provides the first comprehensive and unifying analysis of the moral, legal and social questions concerning military human enhancement, with a view toward developing guidance (...) and policy that may influence real-world decision making. (shrink)

A number of recent and influential accounts of military ethics have argued that there exists a distinctive “role morality” for members of the armed services—a “warrior code.” A “good warrior” is a person who cultivates and exercises the “martial” or “warrior” virtues. By transforming combat into a “desk job” that can be conducted from the safety of the home territory of advanced industrial powers without need for physical strength or martial valour, long-range robotic weapons, such as the “Predator” and “Reaper” (...) drones fielded by the United States, call the relevance of the “martial virtues” into question. This chapter investigates the implications of these developments for conceptions of military virtue and, consequently, for the future of war. (shrink)

Small unmanned aerial systems (sUAS) are used more regularly and widely in disaster response. Like other personnel involved in disaster response, the sUAS pilots work for long periods, experience extreme stress and fatigue. They often arrive at the disaster fatigued (due to long drives to get there). However, unlike other personnel in this domain, there is little research on the effects of fatigue on sUAS pilots. Our experiences with a series of three real-world deployments highlight the challenges of (...) conducting human factors research during disaster response and recovery. We specifically present lessons learned from having participant researchers embedded in three disasters with the sUAS pilot teams. These lessons result in a set of feasible and non-interruptive methods and metrics for conducting human factors research during field events. Preliminary results and recommended next steps are presented. (shrink)

We propose a domain-level ontology of plays for the facilitation of play-based collaborative autonomy among unmanned and manned-unmanned aircraft teams in the Army’s Unmanned Aircraft System (UAS) mission domain. We define a play as a type of plan that prescribes some pattern of intentional acts that are intended to reliably result in some goal in some competitive context, and which specifies one or more roles that are realized by those prescribed intentional acts. The ontology is well suited (...) to be extended to other types of military and nonmilitary unmanned vehicle operations. (shrink)

Arming uninhabited vehicles (UVs) is an increasing trend. Widespread deployment can bring dangers for arms-control agreements and international humanitarian law (IHL). Armed UVs can destabilise the situation between potential opponents. Smaller systems can be used for terrorism. Using a systematic definition existing international regulation of armed UVs in the fields of arms control, export control and transparency measures is reviewed; these partly include armed UVs, but leave large gaps. For preventive arms control a general prohibition of armed UVs would (...) be best. If that is unattainable, several measures should be taken. An explicit prohibition of autonomous attack, that is without a human decision, should be added to IHL. Concerning armed UVs remotely controlled by a human soldier, recommendations differ according to type or mission. New kinds of uninhabited nuclear-weapon carriers should be banned. Space weapons should be prohibited in general. UVs smaller than 0.2–0.5 m should be banned. Bigger remotely controlled armed UVs not equipped with weapons of mass destruction should be subject to numerical limitations in various categories. For these the Treaty on Conventional Armed Forces in Europe is an important precedent. (shrink)

This paper surveys the state-of-the-art in machine ethics, that is, considerations of how to implement ethical behaviour in robots, unmanned autonomous vehicles, or software systems. The emphasis is on covering the breadth of ethical theories being considered by implementors, as well as the implementation techniques being used. There is no consensus on which ethical theory is best suited for any particular domain, nor is there any agreement on which technique is best placed to implement a particular theory. Another (...) unresolved problem in these implementations of ethical theories is how to objectively validate the implementations. The paper discusses the dilemmas being used as validating ‘whetstones’ and whether any alternative validation mechanism exists. Finally, it speculates that an intermediate step of creating domain-specific ethics might be a possible stepping stone towards creating machines that exhibit ethical behaviour. (shrink)

"The Bush administration and Congress are in concert on the goal of developing a fleet of unmanned aircraft that can reduce both defense costs and aircrew losses in combat by taking on at least the most dangerous combat missions. Unmanned combat aerial vehicles (UCAVs) will be neither inexpensive enough to be readily expendable nor-- at least in early development-- capable of performing every combat mission alongside or in lieu of manned sorties. Yet the tremendous potential of such (...) class='Hi'>systems is widely recognized, and allies as well as potential adversaries are moving quickly to mount their own research and development programs. The United States is committed to fielding UCAV capabilities by 2010, principally for the missions of suppression of enemy air defense and deep strike, which are among the highest risk tasks for the Air Force and naval aviation."--Overview. (shrink)

Risk management is a well-known method to face technological challenges through a win–win combination of protective and proactive approaches, fostering the collaboration of operators, researchers, regulators, and industries for the exploitation of new markets. In the field of autonomous and unmanned aerial systems, or UAS, a considerable amount of work has been devoted to risk analysis, the generation of ground risk maps, and ground risk assessment by estimating the fatality rate. The paper aims to expand this approach with (...) a tool for managing data protection risks raised by drones through the design of flight maps. The tool should allow UAS operators choosing the best air corridor for their drones based on the so-called privacy by design principle pursuant to Article 25 of the EU data protection regulation, the GDPR. Among the manifold applications of this approach, the design of fly zones for drones can be tailored for public authorities in the phase of authorization of new operations, much as for national Data Protection authorities that have to control the lawfulness of personal data processing by UAS operations. The overall aim is to present the first win–win approach to data protection issues, aerospace engineering challenges, and risk management methods for the threats posed by this technology. (shrink)