Soft robots promise an exciting design trajectory in the field of robotics and human–robot interaction (HRI), promising more adaptive, resilient movement within environments as well as a safer, more sensitive interface for the objects or agents the robot encounters. In particular, tactile HRI is a critical dimension for designers to consider, especially given the onrush of assistive and companion robots into our society. In this article, we propose to surface an important set of ethical challenges for the field (...) of soft robotics to meet. Tactile HRI strongly suggests that soft-bodied robots balance tactile engagement against emotional manipulation, model intimacy on the bonding with a tool not with a person, and deflect users from personally and socially destructive behavior the soft bodies and surfaces could normally entice. (shrink)

Robots are slowly, but certainly, entering people's professional and private lives. They require the attention of regulators due to the challenges they present to existing legal frameworks and the new legal and ethical questions they raise. This paper discusses four major regulatory dilemmas in the field of robotics: how to keep up with technological advances; how to strike a balance between stimulating innovation and the protection of fundamental rights and values; whether to affirm prevalent social norms or nudge social (...) norms in a different direction; and, how to balance effectiveness versus legitimacy in techno-regulation. The four dilemmas are each treated in the context of a particular modality of regulation: law, market, social norms, and technology as a regulatory tool; and for each, we focus on particular topics? such as liability, privacy, and autonomy? that often feature as the major issues requiring regulatory attention. The paper then highlights the role and potential of the European framework of rights and values, responsible research and innovation, smart regulation and soft law as means of dealing with the dilemmas. (shrink)

This volume is a guide to two types of transcendence of academic borders which seem necessary for understanding and modelling brain function.

In this paper I discuss two kinds of attempts to qualify incompatibilist and compatibilist conceptions of freedom to avoid what have been thought to be incredible commitments of these rival accounts. One attempt -- which I call soft libertarianism -- is represented by Robert Kane''s work. It hopes to defend an incompatibilist conception of freedom without the apparently difficult metaphysical costs traditionally incurred by these views. On the other hand, in response to what I call the robot objection (that (...) if compatibilism is true, human beings could be the products of design), some compatibilists are tempted to soften their position by placing restrictions on the origins of agency. I argue that both of these attempts are misguided. Hard libertarianism and hard compatibilism are the only theoretical options. (shrink)

This paper explores the rise of agential materialism in humanities and science and its influence on technological progress, proposing ‘softness’ as a paradigm for designing increasingly ‘agentised’ technologies. Soft technologies – defined by plastic embodiments, self-organisation, and multi-scalar material design – challenge hegemonic visions of machines as rigid, unfeeling, and subordinate to human control. Case studies in soft and biohybrid robotics, wetware computing, and nanotechnology demonstrate how emerging soft technologies embody unprecedented forms of artificial agency and (...) outline future possibilities for embodied intelligence. A paradigm shift towards softness fosters ‘micro-sustainability’, embedding self-contained, regenerative energy and resource management at the material scale. By complicating the separation of nature and artifact and the hierarchical relationship of humans and technologies, the paradigm of softness contributes to a broader ‘ecology of technology’, offering pathways for sustainable innovation in the face of global ecological challenges. (shrink)

Roboethics is a recently developed field of applied ethics which deals with the ethical aspects of technologies such as robots, ambient intelligence, direct neural interfaces and invasive nano-devices and intelligent soft bots. In this article we look specifically at the issue of (moral) responsibility in artificial intelligent systems. We argue for a pragmatic approach, where responsibility is seen as a social regulatory mechanism. We claim that having a system which takes care of certain tasks intelligently, learning from experience and (...) making autonomous decisions gives us reasons to talk about a system (an artifact) as being “responsible” for a task. No doubt, technology is morally significant for humans, so the “responsibility for a task” with moral consequences could be seen as moral responsibility. Intelligent systems can be seen as parts of socio-technological systems with distributed responsibilities, where responsible (moral) agency is a matter of degree. Knowing that all possible abnormal conditions of a system operation can never be predicted, and no system can ever be tested for all possible situations of its use, the responsibility of a producer is to assure proper functioning of a system under reasonably foreseeable circumstances. Additional safety measures must however be in place in order to mitigate the consequences of an accident. The socio-technological system aimed at assuring a beneficial deployment of intelligent systems has several functional responsibility feedback loops which must function properly: the awareness and procedures for handling of risks and responsibilities on the side of designers, producers, implementers and maintenance personnel as well as the understanding of society at large of the values and dangers of intelligent technology. The basic precondition for developing of this socio-technological control system is education of engineers in ethics and keeping alive the democratic debate on the preferences about future society. (shrink)

This paper undertakes a comparative legal study to analyze the challenges of privacy and personal data protection posed by Artificial Intelligence embedded in Robots, and to offer policy suggestions. After identifying the benefits from various AI usages and the risks posed by AI-related technologies, I then analyze legal frameworks and relevant discussions in the EU, USA, Canada, and Japan, and further consider the efforts of Privacy by Design originating in Ontario, Canada. While various AI usages provide great convenience, many issues, (...) including profiling, discriminatory decisions, lack of transparency, and impeding consent, have emerged. The unpredictability arising from the AI machine learning function poses further difficulties, which have only been partially addressed by legal frameworks in the aforementioned jurisdictions. However, analyzing the relevant discussions yielded several suggestions. The first priority is adopting PbD as the most flexible, soft-legal, and preferable approach toward AI-oriented issues. Implementing PbD will protect individual privacy and personal data without specific efforts, and achieve both the development of AI and the advancement of privacy and personal data protection. Technical measures that can adapt to an individual’s dynamic choices according to the “context” should be further developed. Furthermore, alternative technical measures, including those to solve the “algorithmic black box” or achieve differential privacy, warrant thorough examination. If AI surpasses human intelligence, a terminating function, such as a “kill switch” will be the last resort to preserve individual choice. Despite numerous difficulties, we must prepare for the coming AI-prevalent society by taking a flexible approach. (shrink)

Engineers fine-tune the design of robot bodies for control purposes; however, a methodology or set of tools is largely absent, and optimization of morphology is lagging behind the development of controllers. This has become even more prominent with the advent of compliant, deformable or ‘soft’ bodies. These carry substantial potential regarding their exploitation for control—sometimes referred to as ‘morphological computation’. In this article, we briefly review different notions of computation by physical systems and propose the dynamical systems framework as (...) the most useful in the context of describing and eventually designing the interactions of controllers and bodies. Then, we look at the pros and cons of simple versus complex bodies, critically reviewing the attractive notion of ‘soft’ bodies automatically taking over control tasks. We address another key dimension of the design space—whether model-based control should be used and to what extent it is feasible to develop faithful models for different morphologies. (shrink)

Tailoring the design of robot bodies for control purposes is implicitly performed by engineers, however, a methodology or set of tools is largely absent and optimization of morphology (shape, material properties of robot bodies, etc.) is lag- ging behind the development of controllers. This has become even more prominent with the advent of compliant, deformable or "soft" bodies. These carry substantial potential regarding their exploitation for control – sometimes referred to as "mor- phological computation" in the sense of offloading (...) computation needed for control to the body. Here, we will argue in favor of a dynamical systems rather than com- putational perspective on the problem. Then, we will look at the pros and cons of simple vs. complex bodies, critically reviewing the attractive notion of “soft” bodies automatically taking over control tasks. We will address another key dimension of the design space – whether model-based control should be used and to what extent it is feasible to develop faithful models for different morphologies. ----- This paper was also published in the 2014 AISB proceedings http://aisb50.org/representation-of-reality-humans-animals-and-machines/ - http://doc.gold.ac.uk/aisb50/. (shrink)

Engineers fine-tune the design of robot bodies for control purposes, however, a methodology or set of tools is largely absent, and optimization of morphology (shape, material properties of robot bodies, etc.) is lagging behind the development of controllers. This has become even more prominent with the advent of compliant, deformable or ”soft” bodies. These carry substantial potential regarding their exploitation for control—sometimes referred to as ”morphological computation”. In this article, we briefly review different notions of computation by physical systems (...) and propose the dynamical systems framework as the most useful in the context of describing and eventually designing the interactions of controllers and bodies. Then, we look at the pros and cons of simple vs. complex bodies, critically reviewing the attractive notion of ”soft” bodies automatically taking over control tasks. We address another key dimension of the design space—whether model-based control should be used and to what extent it is feasible to develop faithful models for different morphologies. (shrink)

Computational intelligence techniques are being investigated as an extension of the traditional fault diagnosis methods. This article presents, for the first time, a scheme for fault detection and isolation via artificial neural networks and fuzzy logic. It deals with the sensor fault of a three-link selective compliance assembly robot arm robot. A second scheme is proposed for fault detection and accommodation via analytical redundancy, and it deals with the sensor fault of a three-link SCARA robot. These proposed FDI approaches are (...) implemented on Matlab/simulink software and tested under several types of faults. The results show the importance of this process. Then, the sensor faults are detected and isolated successfully. Also, the actuator faults are detected and a fault tolerance strategy is used for reconfigurable control using a sliding-mode observer. (shrink)

En este trabajo se presenta una comparación de los tiempos de respuesta, optimización de la ruta y complejidad del grafo en métodos de planificación de trayectoria para robots móviles autónomos. Se contrastan los desarrollos de Voronoi, Campos potenciales, Roadmap probabilístico y Descomposición en celdas para la navegación en un mismo entorno y validándolos para un número variable de obstáculos. Las evaluaciones demuestran que el método de generación de trayectoria por Campos Potenciales, mejora la navegación respecto de la menor ruta obtenida, (...) el método Rapidly Random Tree genera los grafos de menor complejidad y el método Descomposición en celdas, se desempeña con menor tiempo de respuesta y menor coste computacional. Palabras Clave: optimización, trayectoria, métodos de planificación, robots móviles. Referencias [1]H. Ajeil, K. Ibraheem, A. Sahib y J. Humaidi, “Multi-objective path planning of an autonomous mobile robot using hybrid PSO-MFB optimization algorithm, ” Applied Soft Computing, vol. 89, April 2020. [2]K.Patle, G. Babu, A. Pandey, D.R.K. Parhi y A. Jagadeesh, “A review: On path planning strategies for navigation of mobile robot,” Defence Technology, vol. 15, pp. 582-606, August 2019. [3]T. Mack, C. Copot, D. Trung y R. De Keyser, “Heuristic approaches in robot path planning: A survey,” Robotics and Autonomous Systems, vol. 86, pp. 13-28, December 2016. [4]L. Zhang, Z. Lin, J. Wang y B. He, “Rapidly-exploring Random Trees multi-robot map exploration under optimization framework,” Robotics and Autonomous Systems, vol. 131, 2020. [5]S. Khan y M. K. Ahmmed, "Where am I? Autonomous navigation system of a mobile robot in an unknown environment," 2016 5th International Conference on Informatics, Electronics and Vision, pp. 56-61, December 2016. [6]V. Castro, J. P. Neira, C. L. Rueda, J. C. Villamizar y L. Angel, "Autonomous Navigation Strategies for Mobile Robots using a Probabilistic Neural Network," IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society, pp. 2795-2800, Taipei, 2007. [7]Y. Li, W. Wei, Y. Gao, D. Wang y C. Fan, “PQ-RRT*: An improved path planning algorithm for mobile robots,” Expert Systems with Applications, vol. 152, August 2020. [8]A. Muñoz, “Generación global de trayectorias para robots móviles, basada en curvas betaspline,” Dep. Ingeniería de Sistemas y Automática Escuela Técnica Superior de Ingeniería Universidad de Sevilla, 2014. [9]H. Montiel, E. Jacinto y H. Martínez, “Generación de Ruta Óptima para Robots Móviles a Partir de Segmentación de Imágenes,” Información Tecnológica, vol. 26, 2015. [10] C. Expósito, “Los diagramas de Vornooi, la forma matemática de dividir el mundo,” Dialnet, Diciembre 2016. (shrink)

Recent efforts in soft robotics and Artificial Life are attempting to construct homeostatically functioning machines with ‘feeling’ analogues. Such robots are designed to be ‘vulnerable’ and, thus, depart from traditional approaches to machine design and construction. In this paper, I explore a representative proposal by Antonio Damasio and Kingson Man, and ask how we can understand the deconstruction of ‘life’ in Derrida, Stiegler, Malabou and Wills to relate to such efforts. I argue that the adoption of biological and (...) phenomenological principles in machine design calls for attention to the precise extent that it may not result in robots that adhere either to biological or to mechanical models. It is with this admission, of the essentially unknowable character of what may result from these efforts, that deconstruction can assist roboticists and synthetic biologists today. (shrink)

Synthetic biology, materials chemistry and soft robotics are fast becoming leading disciplines within the field of practices which look to nature for inspiration and opportunities. In this article I discuss how these molecular-scale practices fit within the existing trends of bio-informed design defined at the macro level, that is, bionics, biomimetics and more specifically biomimicry. Based on the metaphysical views underlying bio-informed design practices, I argue that none of them currently fit the biomimicry model, as they are not (...) consistently concerned with environmental sustainability. While biomimetic chemistry loosely belongs to the field of biomimetics, and soft robotics to the field of bionics, both practices have a profound impact on their respective fields, as they question the places of nature and engineers. (shrink)

The contribution of the body to cognition and control in natural and artificial agents is increasingly described as “off-loading computation from the brain to the body”, where the body is said to perform “morphological computation”. Our investigation of four characteristic cases of morphological computation in animals and robots shows that the ‘off-loading’ perspective is misleading. Actually, the contribution of body morphology to cognition and control is rarely computational, in any useful sense of the word. We thus distinguish (1) morphology that (...) facilitates control, (2) morphology that facilitates perception and the rare cases of (3) morphological computation proper, such as ‘reservoir computing.’ where the body is actually used for computation. This result contributes to the understanding of the relation between embodiment and computation: The question for robot design and cognitive science is not whether computation is offloaded to the body, but to what extent the body facilitates cognition and control – how it contributes to the overall ‘orchestration’ of intelligent behaviour. (shrink)

Organisations increasingly use automated decision-making systems (ADMS) to inform decisions that affect humans and their environment. While the use of ADMS can improve the accuracy and efficiency of decision-making processes, it is also coupled with ethical challenges. Unfortunately, the governance mechanisms currently used to oversee human decision-making often fail when applied to ADMS. In previous work, we proposed that ethics-based auditing (EBA)—that is, a structured process by which ADMS are assessed for consistency with relevant principles or norms—can (a) help organisations (...) verify claims about their ADMS and (b) provide decision-subjects with justifications for the outputs produced by ADMS. In this article, we outline the conditions under which EBA procedures can be feasible and effective in practice. First, we argue that EBA is best understood as a ‘soft’ yet ‘formal’ governance mechanism. This implies that the main responsibility of auditors should be to spark ethical deliberation at key intervention points throughout the software development process and ensure that there is sufficient documentation to respond to potential inquiries. Second, we frame AMDS as parts of larger sociotechnical systems to demonstrate that to be feasible and effective, EBA procedures must link to intervention points that span all levels of organisational governance and all phases of the software lifecycle. The main function of EBA should, therefore, be to inform, formalise, assess, and interlink existing governance structures. Finally, we discuss the policy implications of our findings. To support the emergence of feasible and effective EBA procedures, policymakers and regulators could provide standardised reporting formats, facilitate knowledge exchange, provide guidance on how to resolve normative tensions, and create an independent body to oversee EBA of ADMS. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:On the Conceivability of Artificially Created EnlightenmentPaul Andrew PowellPointsman can only possess the zero and the one. He cannot, like [Roger] Mexico, survive anyplace in between.... [H]e imagines the cortex of the brain as a mosaic of tiny on/off elements.... [E]ach point is allowed only the two states:... [o]ne or zero.... [B]rain mechanics assumes the presence of these bi-stable points....If ever the Anti-pointsman existed, Roger Mexico is the man.... (...) How can Mexico play, so at his ease, with these symbols of randomness and fright? Innocent as a child, perhaps unaware—perhaps—that in his play he wrecks the elegant rooms of history.—Thomas Pynchon, Gravity's RainbowWhen I first read about the Dalai Lama's remark that "if all the external conditions and the karmic action were there, a stream of consciousness might actually enter into a computer,"1 I couldn't help but wonder if a computer could then attain enlightenment. The answer, at first, seemed simple and obvious (though perhaps distasteful for some): if the machine was self-aware, sentient, and conscious, then it would be only reasonable to assume that it could also attain enlightenment. Yes, simple and obvious, of course, but this takes for granted some very large and complex issues. After all, what makes for self-awareness, sentience, and consciousness to begin with, and how would we manufacture them in a machine?If we take a moment to think about the creation of artificial enlightenment the paradox becomes clear. In order to manufacture enlightenment, we must first manufacture samsara, because for a Buddhist, enlightenment is the "event" of deconstructing the problematic natures of "self," sentience (suchness), and consciousness, all of which are samsaric illusions. "Self," sentience, and consciousness represent the prerequisites of samsara/Nirvana, realized or unrealized, artificial or organic. They represent the prerequisites of desire. They represent the prerequisites for the illusion of death and birth. And thus they represent the truly salient issues that must be addressed before we can assemble our complicated hard (and soft) ware. Interestingly, because computational information consists of a conceptualized, dualistic [End Page 123] binary system of ones and zeroes, and because the nature of Nirvana/samsara also consists of a conceptualized, dualistic system of "self"/"other," technology, in theory anyway, may probably be capable of manufacturing a facsimile of samsara, if only because computational information is, by its very nature, samsaric to begin with. Of course, all this demands that consciousness, self-awareness, and sentience be a function of information processing. Personally, I believe they are, and that, in fact, the words information and samsara are synonymous with one another. Thus it follows that information technology will most certainly be capable of manufacturing the prerequisites, at least, of enlightenment. If that blunt statement strikes you as utterly preposterous, technically impossible, or even offensive, you might want to first read any number of excellent texts describing the future of artificial intelligence (AI). Two of the best popular books on the subject are Robot by Hans Moravec and The Age of Spiritual Machines by Ray Kurzweil. These will assuage your doubts concerning the soft problem, or, as it is sometimes called, the nuts-and-bolts problem.With these considerations in mind, let's see what we can come up with.In order to arrive at what you are not You must go through the way in which you are not.—T.S. Eliot, "East Coker" (The Four Quartets)For most Buddhists, enlightenment can be defined as seeing through the illusion of the self and experiencing unadulterated suchness. In the words of Master Wolfgang Kopp, "The seer, the seen, and the process of seeing are one. The thinker, the thought, and the process of thinking fall together into one and multiplicity melts away. There is neither inside, nor outside in this state. There is only 'suchness,' tathata."2 So, enlightenment is suchness, or, things as they are, revealed as all that there is. As engineers of enlightenment, it would appear then that are at least two components we need to build into our machine: an illusionary "self" and suchness, or things as they are. As we shall see, the... (shrink)

Dehumanization by algorithms raises important issues for business and society. Yet, these issues remain poorly understood due to the fragmented nature of the evolving dehumanization literature across disciplines, originating from colonialism, industrialization, post-colonialism studies, contemporary ethics, and technology studies. This article systematically reviews the literature on algorithms and dehumanization (n = 180 articles) and maps existing knowledge across several clusters that reveal its underlying characteristics. Based on the review, we find that algorithmic dehumanization is particularly problematic for human resource management (...) and the future of work, managerial decision-making, consumer ethics, hard- and soft-law regulation, and basic values, including privacy and consumer rights. From the literature synthesis, we also derive the following definition of algorithmic dehumanization: the act of using algorithms and data in a way that results in the intentional or unintentional treatment of individuals and/or groups as less than fully human, thereby violating human rights, including liberty, equality, and dignity. Ultimately, we present a dehumanization avoidance model that serves as a structured research agenda and practical guide to address the challenges raised by algorithmic dehumanization. Thus, the model indicates promising pathways for future research at the intersection of AI and society and facilitates reflection on organizational processes that support improving corporate capabilities and managerial decision-making to avoid algorithmic dehumanization. (shrink)

In the last forty years, significant developments in neuroscience, psychology, and robotic technology have been cause for major trend changes in the philosophy of mind. One such shift has been the reallocation of focus from entirely brain-centered theories of mind to more embodied, embedded, and even extended answers to the questions, what are cognitive processes and where do we find such phenomena? Given that hypotheses such as Clark and Chalmers‘ (1998) Extended Mind or Hutto‘s (2006) Radical Enactivism, systematically undermine the (...) organism-bound, internal, and static pictures of minds and allow instead for the distribution of cognitive processes among brains, bodies, and worlds, a worry that arises is that the very subject of cognitive science, the ‗cognizer‘ will be hopelessly opaque, its mind leaking out into the world all over the place, thereby making it impossible to rein in and properly study. A seemingly unrelated and yet parallel trend has also taken place in feminist theorizing about the body over the last forty years. Whereas feminism of the 1970s and early 1980s tended to view ‗the body‘ as the site and matter of biological sex, while gender was a more fluid and socially constituted mode of existence, more recent feminist theory has questioned the givenness of bodies themselves. In other words, rather than seeing gender categories as manifestations of the already given sexed body, thinkers such as Butler (2000) and Lorber (1992) argue that the very notion of a body is often a product of scientific inquiry, which is itself a product of the power structures aiming to maintain a rigid binary between feminine and masculine gender roles. If the world at large plays such a constitutive role in determining who we are, then this implies that the tools we use, the language we speak, and the power relationships in which we are enmeshed are components of what it means to be embodied in any genuine sense. For thinkers like Haraway (1988) the image of the cyborg is most fitting for this new understanding of embodied subjects, as the cyborg is a coupling of machine and human. Gender and even biological sex will always be a technologically hybridized ‗monster‘ consisting of matter, machine, and mind. The overall aim of my project is thus to bring the two concurrent developments in theorizing about embodied subjects into discourse. As the cyborg features largely in recent feminist thought about embodiment, so too has it been a prominent metaphor in philosophy of mind, ever since Clark (2003) claimed that we ought to think of our ‗selves‘ more appropriately as Natural-Born Cyborgs. I therefore focus on this imagery as I go on to make the argument that this distributed account of cognition as well as of sexual identity is more fruitful for making progress in understanding ‗the human‘ more generally. Likewise, I argue that bringing the discussion of sex and gender into the arena of an otherwise asexual philosophy of mind, will shed light on some important facets of embodiment that have been overlooked but that ought to be addressed if we are to have an adequate account of ‗the proper subject of cognitive science.‘ My chapters include 1) a survey of the discourse between science and philosophy of mind leading to these embodied and extended approaches, 2) a first attempt at defending the extended mind thesis, 3) a discussion of how even the supposed resolution to the objections raised against extended cognition fails to properly take into account just how problematic subjectivity is, regardless of its being defined entirely organismic or not, as organisms themselves are highly malleable and socially constituted, 4) an explanation concerning how the same problematization of embodied subjectivity is ongoing in feminist theory, especially considering the phenomenology of transgendered embodiment, intersex, and technologically mediated bodies, 5) further elaboration on technologically enhanced bodies, exposing what I see as a continuum between bodies modified by ‗hard‘ technologies, such as implants, prostheses or surgeries, and those modified by ‗soft‘ technologies, such as gender norms, the social gaze, and technologically mediated metacognition, and last, 6) an argument for the image of the cyborg to replace ‗organism‘ in cognitive science, along with the corollary argument that cyborgs ought to represent not just embodied minds, but should also be the metaphor in attempting to understand ‗embodiment‘ more generally, which must, at its roots, be underpinned by gender and sexual identity. I argue that the imagery is fitting for the proper study of cognitive subjects as well as sexed and gendered bodies, but moreover, that just as the cyborg suggests a blending and hybridizing of seemingly unrelated elements, so too should the two areas of inquiry, philosophy of mind and feminist theory, pay heed to one another‘s use of this imagery and themselves begin to be more integrative in their approaches. (shrink)

The ability to identify the mineral composition of rocks and softs is an important tool for the exploration of geological sites. For instance, NASA intends to design robots that are sufficiently autonomous to perform this task on planetary missions. Spectrometer readings provide one important source of data for identifying sites with minerals of interest. Reflectance spectrometers measure intensities of light reflected from surfaces over a range of wavelengths. Spectral intensity patterns may in some cases be sufficiently distinctive for proper identification (...) of minerals or classes of minerals. For some mineral classes, carbonates for example, specific short spectral intervals are known to carry a distinctive signature. Finding similar distinctive spectral ranges for other mineral classes is not an easy problem. We propose and evaluate data-driven techniques that automatically search for spectral ranges optimized for specific minerals. In one set of studies, we partition the whole interval of wavelengths available in our data into sub-intervals, or bins, and use a genetic algorithm to evaluate a candidate selection of subintervals. As alternatives to this computationally expensive search technique, we present an entropy-based heuristic that gives higher scores for wavelengths more likely to distinguish between classes, as well as other greedy search procedures. Results are presented for four different classes, showing reasonable improvements in identifying some, but not all, of the mineral classes tested. (shrink)

This is the first volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and (...) indeterminacy. In the past years the fields of neutrosophics have been extended and applied in various fields, such as: artificial intelligence, data mining, soft computing, decision making in incomplete / indeterminate / inconsistent information systems, image processing, computational modelling, robotics, medical diagnosis, biomedical engineering, investment problems, economic forecasting, social science, humanistic and practical achievements. (shrink)

This is the third volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and (...) indeterminacy. In the past years the fields of neutrosophics have been extended and applied in various fields, such as: artificial intelligence, data mining, soft computing, decision making in incomplete / indeterminate / inconsistent information systems, image processing, computational modelling, robotics, medical diagnosis, biomedical engineering, investment problems, economic forecasting, social science, humanistic and practical achievements. (shrink)

This is the fourth volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and (...) indeterminacy. In the past years the fields of neutrosophics have been extended and applied in various fields, such as: artificial intelligence, data mining, soft computing, decision making in incomplete / indeterminate / inconsistent information systems, image processing, computational modelling, robotics, medical diagnosis, biomedical engineering, investment problems, economic forecasting, social science, humanistic and practical achievements. (shrink)

This is the first volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The 78 authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. -/- Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, (...) inconsistent, and indeterminacy. -/- In the past years the fields of neutrosophics have been extended and applied in various fields, such as: artificial intelligence, data mining, soft computing, decision making in incomplete / indeterminate / inconsistent information systems, image processing, computational modelling, robotics, medical diagnosis, biomedical engineering, investment problems, economic forecasting, social science, humanistic and practical achievements. (shrink)

Public administrations, including national government agencies as well as the EU institutions, face not only structural changes, but are increasingly talking about the need to transform management, foster innovation, and share responsibilities. The role of AI is the key composite element of this process. However, not only from the technological point of view. AI also needs the human “perspective”. It is very important to include the so-called soft components (institutional culture, inter-cultural awareness, and organizational needs) to facilitate the mental (...) shift and thus the buy-in. Technological advances in the area of AI inevitably result in further change and this alteration has to be managed. A need to break silo mentality moves organizations towards matrix-based structures with advanced reporting relationships. With the focus on the people side of change and the boundaries of the data-driven decision-making, this study provides insights in the correlations between AI as a tool and change process in public administrations. (shrink)

Autonomous agents (robots) are no longer a subject of science fiction novels. Self-driving cars, for example, may be on our roads within a few years. These machines will necessarily interact with the humans and in these interactions must take into account moral outcome of their actions. Yet we are nowhere near designing a machine capable of autonomous moral reasoning. In some sense, this is understandable as commonsense reasoning turns out to be very hard to formalize. -/- In this paper, we (...) identify several features of commonsense reasoning that are specific to the domain of morality. We show that its peculiarities, such as, moral conflicts or priorities among norms, give rise to serious challenges for any logical formalism representing moral reasoning. We then present a variation of default logic adapted from [5] and show how it addresses the problems we identified. (shrink)

Cultural influences are pervasive throughout human behaviour, and as human–robot interactions become more common, roboticists are increasingly focusing attention on how to build robots that are culturally competent and culturally sustainable. The current treatment of culture in robotics, however, is largely limited to the definition of culture as national culture. This is problematic for three reasons: it ignores subcultures, it loses specificity and hides the nuances in cultures, and it excludes refugees and stateless persons. We propose to shift the (...) focus of cultural robotics to redefine culture as an emergent phenomenon. We make use of three research programmes in the social and cognitive sciences to justify this definition. Consequently, cultural behaviour cannot be explicitly programmed into a robot, rather, a robot must be designed with the capability to participate in the interactions that lead to the arising of cultural behaviour. In the final part of the paper, we explore which capacities and abilities are the most salient for a robot to do this. (shrink)

In 1969, John McCarthy and Pat Hayes uncovered a problem that has haunted the field of artificial intelligence ever since--the frame problem. The problem arises when logic is used to describe the effects of actions and events. Put simply, it is the problem of representing what remains unchanged as a result of an action or event. Many researchers in artificial intelligence believe that its solution is vital to the realization of the field's goals. Solving the Frame Problem presents the various (...) approaches to the frame problem that have been proposed over the years. The author presents the material chronologically--as an unfolding story rather than as a body of theory to be learned by rote. There are lessons to be learned even from the dead ends researchers have pursued, for they deepen our understanding of the issues surrounding the frame problem. In the book's concluding chapters, the author offers his own work on event calculus, which he claims comes very close to a complete solution to the frame problem. Artificial Intelligence series. (shrink)

The task of this essay is to respond to the question concerning robots and responsibility—to answer for the way that we understand, debate, and decide who or what is able to answer for decisions and actions undertaken by increasingly interactive, autonomous, and sociable mechanisms. The analysis proceeds through three steps or movements. It begins by critically examining the instrumental theory of technology, which determines the way one typically deals with and responds to the question of responsibility when it involves technology. (...) It then considers three instances where recent innovations in robotics challenge this standard operating procedure by opening gaps in the usual way of assigning responsibility. The innovations considered in this section include: autonomous technology, machine learning, and social robots. The essay concludes by evaluating the three different responses—instrumentalism 2.0, machine ethics, and hybrid responsibility—that have been made in face of these difficulties in an effort to map out the opportunities and challenges of and for responsible robotics. (shrink)

Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and (...) used by humans. This includes issues of privacy (§2.1) and manipulation (§2.2), opacity (§2.3) and bias (§2.4), human-robot interaction (§2.5), employment (§2.6), and the effects of autonomy (§2.7). Then AI systems as subjects, i.e., ethics for the AI systems themselves in machine ethics (§2.8) and artificial moral agency (§2.9). Finally, the problem of a possible future AI superintelligence leading to a “singularity” (§2.10). We close with a remark on the vision of AI (§3). - For each section within these themes, we provide a general explanation of the ethical issues, outline existing positions and arguments, then analyse how these play out with current technologies and finally, what policy consequences may be drawn. (shrink)

In order to build autonomous robots that can carry out useful work in unstructured environments new approaches have been developed to building intelligent systems. The relationship to traditional academic robotics and traditional artificial intelligence is examined. In the new approaches a tight coupling of sensing to action produces architectures for intelligence that are networks of simple computational elements which are quite broad, but not very deep. Recent work within this approach has demonstrated the use of representations, expectations, plans, goals, (...) and learning, but without resorting to the traditional uses, of central, abstractly manipulable or symbolic representations. Perception within these systems is often an active process, and the dynamics of the interactions with the world are extremely important. The question of how to evaluate and compare the new to traditional work still provokes vigorous discussion. (shrink)

In this paper, we first enumerate the problems that humans might face with a new type of technology such as robots with artificial intelligence (AI robots). Robotics entrepreneurs are calling for discussions about goals and values because AI robots, which are potentially more intelligent than humans, can no longer be fully understood and controlled by humans. AI robots could even develop into ethically “bad” agents and become very harmful. We consider these discussions as part of a process of developing (...) responsible innovations in AI robotics in order to prevent catastrophic risks on a global scale. To deal with these issues, we propose the capability-effectual approach, drawing on two bodies of research: the capability approach from ethics, and the effectual process model from entrepreneurship research. The capability approach provides central human capabilities, guiding the effectual process through individual goals and aspirations in the collaborative design process of stakeholders. More precisely, by assuming and understanding correspondences between goals, purposes, desires, and aspirations in the languages of different disciplines, the capability-effectual approach clarifies both how a capability list working globally could affect the aspirations and end-goals of individuals, and how local aspirations and end-goals could either energise or limit effectual processes. Theoretically, the capability-effectual approach links the collaboration of stakeholders and the design process in responsible innovation research. Practically, this approach could potentially contribute to the robust development of AI robots by providing robotics entrepreneurs with a tool for establishing a permissible action range within which to develop AI robotics. (shrink)

While it is often said that robotics should aspire to reproducible and measurable results that allow benchmarking, I argue that a focus on benchmarking can be a hindrance for progress in robotics. The reason is what I call the ‘measure-target confusion’, the confusion between a measure of progress and the target of progress. Progress on a benchmark (the measure) is not identical to scientific or technological progress (the target). In the past, several academic disciplines have been led into (...) pursuing only reproducible and measurable ‘scientific’ results – robotics should be careful to follow that line because results that can be benchmarked must be specific and context-dependent, but robotics targets whole complex systems for a broad variety of contexts. While it is extremely valuable to improve benchmarks to reduce the distance be- tween measure and target, the general problem to measure progress towards more intelligent machines (the target) will not be solved by benchmarks alone; we need a balanced approach with sophisticated benchmarks, plus real-life testing, plus qualitative judgment. (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)

As the aim of the responsible robotics initiative is to ensure that responsible practices are inculcated within each stage of design, development and use, this impetus is undergirded by the alignment of ethical and legal considerations towards socially beneficial ends. While every effort should be expended to ensure that issues of responsibility are addressed at each stage of technological progression, irresponsibility is inherent within the nature of robotics technologies from a theoretical perspective that threatens to thwart the endeavour. (...) This is because the concept of responsibility, despite being treated as such, is not monolithic: rather this seemingly unified concept consists of converging and confluent concepts that shape the idea of what we colloquially call responsibility. From a different perspective, robotics will be simultaneously responsible and irresponsible depending on the particular concept of responsibility that is foregrounded: an observation that cuts against the grain of the drive towards responsible robotics. This problem is further compounded by responsible design and development as contrasted to responsible use. From a different perspective, the difficulty in defining the concept of responsibility in robotics is because human responsibility is the main frame of reference. Robotic systems are increasingly expected to achieve the human-level performance, including the capacities associated with responsibility and other criteria which are necessary to act responsibly. This subsists within a larger phenomenon where the difference between humans and non-humans, be it animals or artificial systems, appears to be increasingly blurred, thereby disrupting orthodox understandings of responsibility. This paper seeks to supplement the responsible robotics impulse by proposing a complementary set of human rights directed specifically against the harms arising from robotic and artificial intelligence technologies. The relationship between responsibilities of the agent and the rights of the patient suggest that a rights regime is the other side of responsibility coin. The major distinction of this approach is to invert the power relationship: while human agents are perceived to control robotic patients, the prospect for this to become reversed is beginning. As robotic technologies become ever more sophisticated, and even genuinely complex, asserting human rights directly against robotic harms become increasingly important. Such an approach includes not only developing human rights that ‘protect’ humans but also ‘strengthen’ people against the challenges introduced by robotics and AI [This distinction parallels Berlin’s negative and positive concepts of liberty ], by emphasising the social and reflective character of the notion of humanness as well as the difference between the human and nonhuman. This will allow using the human frame of reference as constitutive of, rather than only subject to, the robotic and AI technologies, where it is human and not technology characteristics that shape the human rights framework in the first place. (shrink)

To create fair and accountable AI and robotics, we need precise regulation and better methods to certify, explain, and audit inscrutable systems.

In this paper, we discuss the development of robot use cases in an elderly care facility in the context of exploring the method of Integrative Social Robotics when used on top of a user-centered design approach. Integrative Social Robotics is a new proposal for how to generate responsible, i.e. culturally and ethically sustainable, social robotics applications. Starting point for the discussion are the five principles that characterize an ISR approach, which are discussed in application to the three (...) use cases for robot support in a Danish elderly care facility developed within the smooth project. The discussion by an interdisciplinary design team explores what attention to the five principles of ISR can offer for use case development. We report on the consequences of this short-time exposure to the basic ideas of ISR for use case development and discuss the value of approaching robot development from an ISR perspective. (shrink)