In Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena, Jun Tani sets out to answer an essential and tantalizing question: How do our minds work? By providing an overview of his "synthetic neurorobotics" project, Tani reveals how symbols and concepts that represent the world can emerge in a neurodynamic structure--iterative interactions between the top-down subjective view, which proactively acts on the world, and the bottom-up recognition of the resultant perceptual reality. He argues that nontrivial problems (...) of consciousness and free will could be addressed through structural understanding of such iterative, conflicting interactions between the top-down and the bottom-up pathways. A wide range of readers will enjoy this wonderful journey of the mind and will follow the author on interdisciplinary discussions that span neuroscience, dynamical systems theories, robotics, and phenomenology. The book also includes many figures, as well as a link to videos of Tani's exciting robotic experiments. (shrink)

Serious attempts to build thinking machines began after the second world war. One line of research, called Cybernetics, used electronic circuitry imitating nervous systems to make machines that learned to recognize simple patterns, and turtle-like robots that found their way to recharging plugs. A different approach, named Artificial Intelligence, harnessed the arithmetic power of post-war computers to abstract reasoning, and by the 1960s made computers prove theorems in logic and geometry, solve calculus problems and play good games of checkers. At (...) the end of the 1960s, research groups at MIT and Stanford attached television cameras and robot arms to their computers, so "thinking" programs could begin to collect information directly from the real world. (shrink)

Building artificial moral agents (AMAs) underscores the fragmentary character of presently available models of human ethical behavior. It is a distinctly different enterprise from either the attempt by moral philosophers to illuminate the “ought” of ethics or the research by cognitive scientists directed at revealing the mechanisms that influence moral psychology, and yet it draws on both. Philosophers and cognitive scientists have tended to stress the importance of particular cognitive mechanisms, e.g., reasoning, moral sentiments, heuristics, intuitions, or a moral grammar, (...) in the making of moral decisions. However, assembling a system from the bottom-up which is capable of accommodating moral considerations draws attention to the importance of a much wider array of mechanisms in honing moral intelligence. Moral machines need not emulate human cognitive faculties in order to function satisfactorily in responding to morally significant situations. But working through methods for building AMAs will have a profound effect in deepening an appreciation for the many mechanisms that contribute to a moral acumen, and the manner in which these mechanisms work together. Building AMAs highlights the need for a comprehensive model of how humans arrive at satisfactory moral judgments. (shrink)

The view that phenomenally conscious robots are on the horizon often rests on a certain philosophical view about consciousness, one we call “nomological behaviorism.” The view entails that, as a matter of nomological necessity, if a robot had exactly the same patterns of dispositions to peripheral behavior as a phenomenally conscious being, then the robot would be phenomenally conscious; indeed it would have all and only the states of phenomenal consciousness that the phenomenally conscious being in question has. (...) We experimentally investigate whether the folk think that certain (hypothetical) robots made of silicon and steel would have the same conscious states as certain familiar biological beings with the same patterns of dispositions to peripheral behavior as the robots. Our findings provide evidence that the folk largely reject the view that silicon-based robots would have the sensations that they, the folk, attribute to the biological beings in question. (shrink)

The best reason for believing that robots might some day become conscious is that we human beings are conscious, and we are a sort of robot ourselves. That is, we are extraordinarily complex self-controlling, self-sustaining physical mechanisms, designed over the eons by natural selection, and operating according to the same well-understood principles that govern all the other physical processes in living things: digestive and metabolic processes, self-repair and reproductive processes, for instance. It may be wildly over-ambitious to suppose that (...) human artificers can repeat Nature's triumph, with variations in material, form, and design process, but this is not a deep objection. It is not as if a conscious machine contradicted any fundamental laws of nature, the way a perpetual motion machine does. Still, many skeptics believe--or in any event want to believe--that it will never be done. I wouldn't wager against them, but my reasons for skepticism are mundane, economic reasons, not theoretical reasons. (shrink)

While robots were traditionally built to achieve economic efficiency and financial profits, their roles are likely to change in the future with the aim to provide social support and companionship. In this research, we examined whether the robot’s proposed function (social vs. economic) impacts judgments of mind and moral treatment. Studies 1a and 1b demonstrated that robots with social function were perceived to possess greater ability for emotional experience, but not cognition, compared to those with economic function and whose (...) function was not mentioned explicitly. Study 2 replicated this finding and further showed that low economic value reduced ascriptions of cognitive capacity, whereas high social value resulted in increased emotion perception. In Study 3, robots with high social value were more likely to be afforded protection from harm, and such effect was related to levels of ascribed emotional experience. Together, the findings demonstrate a dissociation between function type (social vs. economic) and ascribed mind (emotion vs. cognition). In addition, the two types of functions exert asymmetric influences on the moral treatment of robots. Theoretical and practical implications for the field of social psychology and human-computer interaction are discussed. (shrink)

A suitable project for the new Millenium is to radically reconfigure our image of human rationality. Such a project is already underway, within the Cognitive Sciences, under the umbrellas of work in Situated Cognition, Distributed and De-centralized Cogition, Real-world Robotics and Artificial Life1. Such approaches, however, are often criticized for giving certain aspects of rationality too wide a berth. They focus their attention on on such superficially poor cousins as.

The uncanny valley—the unnerving nature of humanlike robots—is an intriguing idea, but both its existence and its underlying cause are debated. We propose that humanlike robots are not only unnerving, but are so because their appearance prompts attributions of mind. In particular, we suggest that machines become unnerving when people ascribe to them experience, rather than agency. Experiment 1 examined whether a machine’s humanlike appearance prompts both ascriptions of experience and feelings of unease. Experiment 2 tested whether a machine capable (...) of experience remains unnerving, even without a humanlike appearance. Experiment 3 investigated whether the perceived lack of experience can also help explain the creepiness of unfeeling humans and philosophical zombies. These experiments demonstrate that feelings of uncanniness are tied to perceptions of experience, and also suggest that experience—but not agency—is seen as fundamental to humans, and fundamentally lacking in machines. (shrink)

Discusses the problems that surround the developing science of Artificial Intelligence (AI). This title introduces and clarifies the basic concepts for understanding these problems and also discusses opposing views and possible solutions. It describes the kinds of research that seem to improve our understanding of the mechanisms of intelligence.

Machines will attain human levels of intelligence by the year 2040, predicts robotics expert Hans Moravec. And by 2050, they will have far surpassed us. In this mind-bending new book, Hans Moravec takes the reader on a roller coaster ride packed with such startling predictions. He tells us, for instance, that in the not-too-distant future, an army of robots will displace workers, causing massive, unprecedented unemployment. But then, says Moravec, a period of very comfortable existence will follow, as humans benefit (...) from a fully automated economy. And eventually, as machines evolve far beyond humanity, robots will supplant us. But if Moravec predicts the end of the domination by human beings, his is not a bleak vision. Far from railing against a future in which machines rule the world, Moravec embraces it, taking the startling view that intelligent robots will actually be our evolutionary heirs. "Intelligent machines, which will grow from us, learn our skills, and share our goals and values, can be viewed as children of our minds." And since they are our children, we will want them to outdistance us. In fact, in a bid for immortality, many of our descendants will choose to transform into "ex humans," as they upload themselves into advanced computers. We will become our children and live forever. In his provocative new book, the highly anticipated follow-up to his bestselling volume Mind Children, Moravec charts the trajectory of robotics in breathtaking detail. A must read for artificial intelligence, technology, and computer enthusiasts, Moravec's freewheeling but informed speculations present a future far different than we ever dared imagine. (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)

Do animals have thoughts and feelings? Could robots have minds like our own? Can we ever know, or will the answer be forever out of our reach? David McFarland explores the answers to these questions, drawing not only on the philosophy of mind, but also on developments in artificial intelligence, robots, and the science of animal behaviour.

Machines have always been a tool or technical instrument for human beings to facilitate and to accelerate processes through mechanical power. The same applies to robots nowadays – the next step in the evolution of machines. Over the course of the last few years, robot usage in society has expanded enormously, and they now carry out a remarkable number of tasks for us. It seems we are on the eve of a historic revolution that will change everything we know (...) right now. But not only robots have an impact on our life. It is digitization in its entirety, including smart applications and games, that confronts us with new spaces. This special volume of Ethics in Progress tries to broaden our understanding of a philosophical field – robots and digitization – that is still in its infancy in terms of it research and literature. (shrink)

Our first tools, sticks and stones, were very different from ourselves. But many tools now resemble us, in function or form, and they are beginning to have minds. A loose parallel with our own evolution suggests how they may develop in future. Computerless industrial machinery exhibits the behavioral flexibility of single-celled organisms. Today's best computer-controlled robots are like the simpler invertebrates. A thousand-fold increase in computer power in this decade should make possible machines with reptile-like sensory and motor competence. (...) Growing computer power over the next half century will allow robots that learn like mammals, model their world like primates and eventually reason like humans. Depending on your point of view, humanity will then have produced a worthy successor, or transcended inherited limitations and transformed itself into something quite new. No longer limited by the slow pace of human learning and even slower biological evolution, intelligent machinery will conduct its affairs on an ever faster, ever smaller scale, until coarse physical nature has been converted to fine-grained purposeful thought. (shrink)

In this chapter, I use the expression “robotic animism” to refer to the tendency that many people have to interact with robots as if the robots have minds or a personality. I compare the idea of robotic animism with what philosophers and psychologists sometimes refer to as “mind-reading”, as it relates to human interaction with robots. The chapter offers various examples of robotic animism and mind-reading within different forms of human-robot interaction, and it also considers ethical and prudential (...) arguments for and against attributing minds and a personality to robots. In the last section of the chapter, I also consider the intriguing question of whether any robots that exist today could be said to have some sort of minds in some non-trivial sense. (shrink)

In this chapter, I consider two hypotheses that have informed recent work in experimental philosophy of mind. The first is a positive hypothesis put forward by Fiala, Arico, and Nichols : Categorization of an entity as an agent through fast, automatic, and domain-specific processing produces a disposition to ascribe a wide range of mental states to that entity. The second is a negative hypothesis put forward by Sytsma and Machery: The existence of phenomenally conscious mental states is not obvious from (...) first-person experience with states like seeing red and feeling pain. I argue that these hypotheses are not necessary at odds. Despite this, empirical results reported by Sytsma and Machery raise concerns for FAN's hypothesis, while results reported by FAN in response raise concerns for our hypothesis. I address these concerns in this essay, presenting the results of four new studies that support our negative hypothesis against FAN's challenge. (shrink)

Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to inter-act with humans in an intuitive and social way is still quite limited. An important challenge for social robotics is to determine how to design robots that can perceive the user’s needs, feelings, and intentions, and adapt to users over a broad range of cognitive abilities. It is conceivable that if robots (...) were able to adequately demonstrate this, humans would eventually accept them as social companions. We argue that the best way to achieve this is using a systematic experimental approach based on behavioral and physiological neuroscience methods such as motion/eye tracking, electroencephalography (EEG), or functional near-infrared spectroscopy (fNIRS) embedded in interactive human-robot paradigms. This approach requires understanding how humans interact with each other, how they perform tasks together and how they develop feelings of social connection over time, and using these insights to formulate design principles that make social robots attuned to the workings of the human brain. In this review, we put forward the argument that the likelihood of artificial agents being perceived as social companions can be increased by designing them in a way that they are perceived as intentional agents that activate areas in the human brain involved in social-cognitive processing. We first review literature related to social-cognitive mechanisms involved in human-human interactions, and high-light the importance of perceiving others as intentional agents to activate these brain areas. We then discuss how attribution of intentionality can positively affect human-robot interaction by (a) fostering feelings of social connection, empathy and prosociality, and by (b) enhancing performance on joint human-robot tasks. Lastly, we describe circumstances under which attribution of intentionality to robot agents might be disadvantageous, and discuss challenges associated with designing social robots that are inspired by neuroscientific principles. (shrink)

While it is primarily a detailed, technical treatise on the principles of the technology of automata, this book does contain some philosophically interesting material. In Part II, devoted to the theoretical construction of robots with consciousness but which exhibit no behavior, Culbertson advances and develops the idea that we can analyze perceptual consciousness in terms of the four dimensional "world-lines" of the transmissions of impulses along neurons, or rather in terms of interconnecting networks of such world lines. In Part III, (...) he argues that consciousness, defined in physical terms, cannot cause behavior. He presents, as an alternative, a doctrine of "historical causation" in which whole extended time periods in the past affect the present—K. P. F. (shrink)

Clark and Fischer's dismissal of extant human–robot interaction research approaches limits opportunities to understand major variables shaping people's engagement with social robots. Instead, this endeavour categorically requires multidisciplinary approaches. We refute the assumption that people cannot (correctly or incorrectly) represent robots as autonomous social agents. This contradicts available empirical evidence, and will become increasingly tenuous as robot automation improves.

Details the production of consciousness in artificially constructed devices or robots.

What starts out as a run-of-the-mill denunciation of mechanism and behaviorism in the physical and social sciences ends up with some exciting, if sketchy, suggestions for new conceptions of man and his world. The key words for Bertalanffy's psychology are symbolism and system. The former delimits what is uniquely human in human behavior; the latter replaces man as stimulus-response robot with man as "active personality system." After discussing the advantages and drawbacks of man's propensity for the symbolic construction of (...) reality, the author turns his attention to the systems approach to an understanding of man. He warns against the common error of identifying cybernetics with general systems theory. The cybernated system, he feels, is still basically mechanistic, distinguishing itself only by the addition of a feed-back loop to make it self-regulative. It is still closed with respect to the introduction of matter or energy from outside the system, even though it is open to the introduction of information from outside. That is, no matter how complex the cybernetic system, it "can always be resolved into feedback circuits" and thought of in terms of "linear causality." The regulative behavior of general systems, on the other hand, is determined by goal-directed, dynamic interaction between many forces and variables in an open system. Bertalanffy points out that "no comprehensive theory of systems exists today." However, as a model the approach has many advantages, such as obviating the need for the "ghost in the machine" and suggesting some solutions to the mind-body problem. The book, originally the Heinz Werner Lectures at Clark University, is a provocative introduction to systems theory, and the bibliography is especially useful in suggesting further steps in the exploration of this exciting idea.--S. O. H. (shrink)

Introduces the use of Lego Robots for use in research and teaching in philosophy. Potential uses include using the machines as pedagogical tools for teaching introductory ideas in cognitive robotics, philosophy of mind, and the philosophy of Artificial Intelligence. Describes the strength and potential pitfalls of introducing this technology to the classroom.

The robotics industry is growing rapidly, and to a large extent the development of this market sector is due to the area of social robotics – the production of robots that are designed to enter the space of human social interaction, both physically and semantically. Since social robots present a new type of social agent, they have been aptly classified as a disruptive technology, i.e. the sort of technology which affects the core of our current social practices and might lead (...) to profound cultural and social change. -/- Due to its disruptive and innovative potential, social robotics raises not only questions about utility, ethics, and legal aspects, but calls for “robo-philosophy” – the comprehensive philosophical reflection from the perspectives of all philosophical disciplines. This book presents the proceedings of the first conference in this new area, “Robo-Philosophy 2014 – Sociable Robots and the Future of Social Relations", held in Aarhus, Denmark, in August 2014. The short papers and abstracts collected here address questions of social robotics from the perspectives of philosophy of mind, social ontology, ethics, meta-ethics, political philosophy, aesthetics, intercultural philosophy, and metaphilosophy. -/- Social robotics is still in its early stages, but it is precisely now that we need to reflect its possible cultural repercussions. This book is accessible to a wide readership and will be of interest to everyone involved in the development and use of social robotics applications, from social roboticists to policy makers. (shrink)

Putting robots on the battlefield is clearly appealing for policymakers. Why risk human lives, when robots could take our place, and do the dirty work of killing and dying for us? Against this, I argue that robots will be unable to win the kind of wars that we are increasingly drawn into. Modern warfare tends towards asymmetric conflict. Asymmetric warfare cannot be won without gaining the trust of the civilian population; this is ‘the hearts and minds’, in the hackneyed (...) phrase from counter-insurgency manuals. I claim that the very feature which makes it attractive to send robots to war in our place, the absence of risk, also makes it peculiarly difficult for humans to trust them. Whatever the attractions, sending robots to war in our stead will make success in counter-insurgency elusive. Moreover, there is ethical reason to be relieved at this conclusion. For if war is potentially costly, then this does much to ensure that it will be a choice only of last resort, in accordance with the traditional doctrine of jus ad bellum. In this instance, morality and expediency— fortunately— coincide. (shrink)

To investigate the unique kinds of mentality involved in skilled performance, this paper explores the performance ecology of the Māori haka, a ritual form of song and dance of the indigenous people of Aotearoa New Zealand. We respond to a recent proposal to program robots to perform a haka as ‘cultural preservationists’ for ‘intangible cultural heritage’. This ‘Robot Māori Haka’ proposal raises questions about the nature of skill and the transmission of embodied knowledge; about the cognitive and affective experiences (...) cultivated in indigenous practices like haka; and about the role of robots in the archival aspirations of human societies. Reproducing haka, we suggest, requires more than copying physical actions; preserving the ‘intangible’ entails more than programming postures and movements. To make this case, we discuss the history of European responses to the haka, and analyse its diverse performance features in cultural context. Arguing that indigenous movement practices incorporate genuinely embodied knowledge, we claim that skilled performance of haka is deeply mindful, embodying and transmitting dynamic, culturally shared understandings of the natural and social world. The indigenous psychologies incorporated in haka performance are animated by a shared history integrated with its environment. Examining haka performance through the lens of 4E cognitive skill theory for mutual benefit, we discuss the effects of synchrony in collective action, the social and environmental scaffolding of affect and emotion, and the multilayered relations between past and present. Culturally-embedded systems of skilled movement like the Māori haka may, we suggest, constitute specific ways of thinking and feeling. (shrink)

It should not be a surprise in the near future to encounter either a personal or a professional service robot in our homes and/or our work places: according to the International Federation for Robots, there will be approx 35 million service robots at work by 2018. Given that individuals will interact and even cooperate with these service robots, their design and development demand ethical attention. With this in mind I suggest the use of an approach for incorporating ethics into (...) the design process of robots known as Care Centered Value Sensitive Design. Although this approach was originally and intentionally designed for the healthcare domain, the aim of this paper is to present a preliminary study of how personal and professional service robots might also be evaluated using the CCVSD approach. The normative foundations for CCVSD come from its reliance on the care ethics tradition and in particular the use of care practices for: structuring the analysis and, determining the values of ethical import. To apply CCVSD outside of healthcare one must show that the robot has been integrated into a care practice. Accordingly, the practice into which the robot is to be used must be assessed and shown to meet the conditions of a care practice. By investigating the foundations of the approach I hope to show why it may be applicable for service robots and further to give examples of current robot prototypes that can and cannot be evaluated using CCVSD. (shrink)

Much of modern ethics is built around the idea that we should respect one another’s autonomy. Here, “we” are typically imagined to be adult human beings of sound mind, where the soundness of our mind is measured against what we take to be the typical mental capacities of a neurodevelopmentally “normal” person—perhaps in their mid-thirties or forties. When deciding about what constitutes ethical sex, for example, our dominant models hold that ethical sex is whatever is consented to, while a lack (...) of consent makes sex wrong.1 Consent, in turn, is analysed in terms of autonomous decision-making: a “yes” or “no” that reflects the free and informed will of our idealised, sound-minded adult. Whether such models provide adequate normative guidance for ethical, much less good, sex between neurotypical human adults is an open question.2 3 When it comes to the ethics of sexual activity between humans and non-humans—robots, say—or between humans who don’t fit the rational stereotype, we hardly know where to begin.4–7 It is therefore heartening to see a number of papers in this issue tackling the difficult question how to respectfully facilitate or respond to the needs, desires, and decisions of people with different kinds or degrees of autonomy.8 For example, Sumytra Menon and colleagues9 explicitly discuss the notion of “borderline capacity” and argue, in the medical domain, for shared and supportive decision-making practices to “foster the autonomy of patients with compromised mental capacity while being mindful of the need to safeguard their well-being.” Touching on a similar theme, Zahra Ladan 10 asks how we should conceive of liberty in the case of persons with certain inborn physical or mental limitations. Might it sometimes be necessary to …. (shrink)

Discussion about the application of scientific knowledge in robotics in order to build people helpers is widespread. The issue herein addressed is philosophically poignant, that of robots that are “people”. It is currently popular to speak about robots and the image of Man. Behind this lurks the dialogical mind and the questions about the significance of an artificial version of it. Without intending to defend or refute the discourse in favour of ‘recreating’ Man, a lesser familiar question is brought forth: (...) “and what if we were capable of creating a very convincible replica of man (constructing a robot-person), what would the consequences of this be and would we be satisfied with such technology?” Thorny topic; it questions the entire knowledge foundation upon which strong AI/Robotics is positioned. The author argues for improved monitoring of technological progress and thus favours implementing weaker techniques. (shrink)

Could robots be genuinely intelligent? Could they be conscious? Could there be zombies? Prompted by these questions Robert Kirk introduces the main problems of consciousness and sets out a new approach to solving them. He starts by discussing behaviourism, Turing's test of intelligence and Searle's famous Chinese Room argument, and goes on to examine dualism – the idea that consciousness requires something beyond the physical – together with its opposite, physicalism. Probing the idea of zombies, he concludes they are logically (...) impossible. Having presented the central problems, he sketches his solution: a version of functionalism, according to which consciousness consists in the performance of functions. While there is wide agreement among philosophers about what the main problems of consciousness are, there is little agreement on how to go about solving them. With this powerful case for his version of functionalism, Kirk offers an engaging introduction to both the problems and a possible solution. (shrink)

Value-sensitive design theorists propose that a range of values that should inform how future social robots are engineered. This article explores a new value: digital well-being, and proposes that the next generation of social robots should be designed to facilitate this value in those who use or come into contact with these machines. To do this, I explore how the morphology of social robots is closely connected to digital well-being. I argue that a key decision is whether social robots are (...) designed as embodied or disembodied. After exploring the merits of both approaches, I conclude that, on balance, there are persuasive reasons why disembodied social robots may well fare better with respect to the value of digital well-being. (shrink)

To advance the task of designing robots capable of performing collective tasks with humans, studies in human–robot interaction often turn to psychology, philosophy of mind and neuroscience for inspiration. In the same vein, this chapter explores how the notion of recognition and commitment can help confront some of the current problems in addressing robot-human interaction in joint tasks. First, we argue that joint actions require mutual recognition, which cannot be established without the attribution and maintenance of commitments. Second, (...) we argue that commitments require affective states such as social motivations or shared emotions. Finally, we conclude by assessing three possible proposals for how social robotics could implement an architecture of commitments by taking such an affective components into consideration. (shrink)

Gaze following occurs automatically in social interactions, but the degree to which gaze is followed depends on whether an agent is perceived to have a mind, making its behavior socially more relevant for the interaction. Mind perception also modulates the attitudes we have towards others, and deter-mines the degree of empathy, prosociality and morality invested in social interactions. Seeing mind in others is not exclusive to human agents, but mind can also be ascribed to nonhuman agents like robots, as long (...) as their appearance and/or behavior allows them to be perceived as intentional beings. Previous studies have shown that human appearance and reliable behavior induce mind perception to robot agents, and positively affect attitudes and performance in human-robot interaction. What has not been investigated so far is whether different triggers of mind perception have an independent or interactive effect on attitudes and performance in human-robot interaction. We examine this question by manipulating agent appearance (human vs. robot) and behavior (reliable vs. random) within the same paradigm and examine how congruent (human/reliable vs. robot/random) versus incongruent (human/random vs. robot/reliable) combinations of these triggers affect performance (i.e., gaze fol-lowing) and attitudes (i.e., agent ratings) in human-robot interaction. The results show that both ap-pearance and behavior affect human-robot interaction but that the two triggers seem to operate in iso-lation, with appearance more strongly impacting attitudes, and behavior more strongly affecting per-formance. The implications of these findings for human-robot interaction are discussed. (shrink)

Social robots are robots that can interact socially with humans. As social robots and the artificial intelligence that powers them becomes more advanced, they will likely take on more social and work roles. This has many important ethical implications. In this paper, we focus on one of the most central of these, the impacts that social robots can have on human autonomy. We argue that, due to their physical presence and social capacities, there is a strong potential for social robots (...) to enhance human autonomy as well as several ways they can inhibit and disrespect it. We argue that social robots could improve human autonomy by helping us to achieve more valuable ends, make more authentic choices, and improve our autonomy competencies. We also argue that social robots have the potential to harm human autonomy by instead leading us to achieve fewer valuable ends ourselves, make less authentic choices, decrease our autonomy competencies, make our autonomy more vulnerable, and disrespect our autonomy. Whether the impacts of social robots on human autonomy are positive or negative overall will depend on the design, regulation, and use we make of social robots in the future. (shrink)

In AI, consciousness of self consists in a program having certain kinds of facts about its own mental processes and state of mind. We discuss what consciousness of its own mental structures a robot will need in order to operate in the common sense world and accomplish the tasks humans will give it. It's quite a lot. Many features of human consciousness will be wanted, some will not, and some abilities not possessed by humans have already been found feasible (...) and useful in limited contexts. We give preliminary fragments of a logical language a robot can use to represent information about its own state of mind. A robot will often have to conclude that it cannot decide a question on the basis of the information in memory and therefore must seek information externally. Gödel's idea of relative consistency is used to formalize non-knowledge. Programs with the kind of consciousness discussed in this article do not yet exist, although programs with some components of it exist. Thinking about consciousness with a view to designing it provides a new approach to some of the problems of consciousness studied by philosophers. One advantage is that it focusses on the aspects of consciousness important for intelligent behavior. (shrink)

Computers are already approving financial transactions, controlling electrical supplies, and driving trains. Soon, service robots will be taking care of the elderly in their homes, and military robots will have their own targeting and firing protocols. Colin Allen and Wendell Wallach argue that as robots take on more and more responsibility, they must be programmed with moral decision-making abilities, for our own safety. Taking a fast paced tour through the latest thinking about philosophical ethics and artificial intelligence, the authors argue (...) that even if full moral agency for machines is a long way off, it is already necessary to start building a kind of functional morality, in which artificial moral agents have some basic ethical sensitivity. But the standard ethical theories don't seem adequate, and more socially engaged and engaging robots will be needed. As the authors show, the quest to build machines that are capable of telling right from wrong has begun. -/- Moral Machines is the first book to examine the challenge of building artificial moral agents, probing deeply into the nature of human decision making and ethics. (shrink)

Turing was probably the first person to advocate the pursuit of robotics as a route to Artificial Intelligence and Wittgenstein the first to argue that, without the appropriate history, no machine could be intelligent. Wittgenstein anticipated much recent theorizing about the mind, including aspects of connectionist theo- ries of mind and the situated cognition approach in AI. Turing and Wittgenstein had a wary respect for each other and there is significant overlap in their work, in both the philosophy of mathematics (...) and the philosophy of AI. Both took (what would now be called) an externalist stance with respect to machine intelligence. But whereas Turing was concerned only with behaviour, Wittgenstein emphasized in addition history and environment. I show that Wittgenstein's externalist analysis of psychological capacities entails that most, even all, future "artificially intelligent" computers and robots will not use language, possess concepts, or reason. The ar- gument tells, not against AI, but only against AI's traditional and romantic goal of building an artificial "res cogitans" - as first embraced by Turing and now ex- emplified in the work of Brooks and others on cognitive robotics. This argument supports the stance of the growing number of AI researchers whose aim is to pro- duce, not thinking and understanding machines, but high-performance "advanced information processing systems.". (shrink)