Most animals have significant behavioral expertise built in without having to explicitly learn it all from scratch. This expertise is a product of evolution of the organism; it can be viewed as a very long term form of learning which provides a structured system within which individuals might learn more specialized skills or abilities. This paper suggests one possible mechanism for analagous robot evolution by describing a carefully designed series of networks, each one being a strict augmentation of the (...) previous one, which control a six legged walking machine capable of walking over rough terrain and following a person passively sensed in the infrared spectrum. As the completely decentralized networks are augmented. the robot’s performance and behavior repetoire demonstrably improve. The rationale for such demonstrations is that they may provide a hint as to the requirements for automatically building massive networks to carry out complex sensory-motor tasks. The experiments with an actual robot ensure that an essence of reality is maintained and that no critical disabling problems have been ignored. (shrink)

Insufficient attention has been paid to the use of robots in classrooms. Robot “teachers” are being developed, but because Kline ignores such technological developments, it is not clear how they would fit within her framework. It is argued here that robots are not capable of teaching in any meaningful sense, and should be deployed only as educational tools.

We commonly identify something seriously defective in a human life that is lived in ignorance of important but unpalatable truths. At the same time, some degree of misapprehension of reality may be necessary for individual health and success. Morally speaking, it is unclear just how insistent we should be about seeking the truth. Robert Sparrow has considered such issues in discussing the manufacture and marketing of robot ‘pets’, such as Sony’s doglike ‘AIBO’ toy and whatever more advanced devices may (...) supersede it. Though it is not his only concern, Sparrow particularly criticizes such robot pets for their illusory appearance of being living things. He fears that some individuals will subconsciously buy into the illusion, and come to sentimentalize interactions that fail to constitute genuine relationships. In replying to Sparrow, I emphasize that this would be continuous with much of the minor sentimentality that we already indulge in from day to day. Although a disposition to seek the truth is morally virtuous, the virtue concerned must allow for at least some categories of exceptions. Despite Sparrow’s concerns about robot pets (and robotics more generally), we should be lenient about familiar, relatively benign, kinds of self-indulgence in forming beliefs about reality. Sentimentality about robot pets seems to fall within these categories. Such limited self-indulgence can co-exist with ordinary honesty and commitment to truth. (shrink)

We are engineers, and our view of consciousness is shaped by an engineering ambition: we would like to build a conscious machine. We begin by acknowledging that we may be a little disadvantaged, in that consciousness studies do not form part of the engineering curriculum, and so we may be starting from a position of considerable ignorance as regards the study of consciousness itself. In practice, however, this may not set us back very far; almost a decade ago, Crick wrote: (...) 'Everyone has a rough idea of what is meant by consciousness. It is better to avoid a precise definition of consciousness because of the dangers of premature definition. Until the problem is understood much better, any attempt at a formal definition is likely to be either misleading or overly restrictive, or both'. This seems to be as true now as it was then, although the identification of different aspects of consciousness by Block has certainly brought a degree of clarification. On the other hand, there is little doubt that consciousness does seem to be something to do with the operation of a sophisticated control system, and we can claim more familiarity with control systems than can most philosophers, so perhaps we can make up some ground there. (shrink)

We are engineers, and our view of consciousness is shaped by an engineering ambition: we would like to build a conscious machine. We begin by acknowledging that we may be a little disadvantaged, in that consciousness studies do not form part of the engineering curriculum, and so we may be starting from a position of considerable ignorance as regards the study of consciousness itself. In practice, however, this may not set us back very far; almost a decade ago, Crick wrote: (...) 'Everyone has a rough idea of what is meant by consciousness. It is better to avoid a precise definition of consciousness because of the dangers of premature definition. Until the problem is understood much better, any attempt at a formal definition is likely to be either misleading or overly restrictive, or both'. This seems to be as true now as it was then, although the identification of different aspects of consciousness by Block has certainly brought a degree of clarification. On the other hand, there is little doubt that consciousness does seem to be something to do with the operation of a sophisticated control system, and we can claim more familiarity with control systems than can most philosophers, so perhaps we can make up some ground there. (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)

The poor performances of typically developing children younger than 4 in the first-order false-belief task “Maxi and the chocolate” is analyzed from the perspective of conversational pragmatics. An ambiguous question asked by an adult experimenter (perceived as a teacher) can receive different interpretations based on a search for relevance, by which children according to their age attribute different intentions to the questioner, within the limits of their own meta-cognitive knowledge. The adult experimenter tells the child the following story of object-transfer: (...) “Maxi puts his chocolate into the green cupboard before going out to play. In his absence, his mother moves the chocolate from the green cupboard to the blue one.” The child must then predict where Maxi will pick up the chocolate when he returns. To the child, the question from an adult (a knowledgeable person) may seem surprising and can be understood as a question of his own knowledge of the world, rather than on Maxi's mental representations. In our study, without any modification of the initial task, we disambiguate the context of the question by (1) replacing the adult experimenter with a humanoid robot presented as “ignorant” and “slow” but trying to learn and (2) placing the child in the role of a “mentor” (the knowledgeable person). Sixty-two typical children of 3 years-old completed the first-order false belief task “Maxi and the chocolate,” either with a human or with a robot. Results revealed a significantly higher success rate in the robot condition than in the human condition. Thus, young children seem to fail because of the pragmatic difficulty of the first-order task, which causes a difference of interpretation between the young child and the experimenter. (shrink)

Research on human–robot interaction has often ignored the human cognitive changes that might occur when humans and robots work together to solve problems. Facilitating human–robot collaboration will require understanding how the collaboration functions system-wide. We present detailed examples drawn from a study of children and an autonomous rover, and examine how children’s beliefs can guide the way they interact with and learn about the robot. Our data suggest that better collaboration might require that robots be designed to (...) maximize their relationship potential with specific users. (shrink)

The future rests under the sign of technology. Given the prevalence of technological neutrality and inevitabilism, most conceptualizations of the future tend to ignore moral problems. In this paper we argue that every choice about future technologies is a moral choice and even the most technology-dominated scenarios of the future are, in fact, moral provocations we have to imagine solutions to. We begin by explaining the intricate connection between morality and the future. After a short excursion into the history of (...) Artificial Intelligence, we analyse two possible scenarios, which show that building the future with technology is, first and foremost, a moral endeavor. (shrink)

We used a new method called “Ghost-in-the-Machine” (GiM) to investigate social interactions with a robotic bartender taking orders for drinks and serving them. Using the GiM paradigm allowed us to identify how human participants recognize the intentions of customers on the basis of the output of the robotic recognizers. Specifically, we measured which recognizer modalities (e.g., speech, the distance to the bar) were relevant at different stages of the interaction. This provided insights into human social behavior necessary for the development (...) of socially competent robots. When initiating the drink-order interaction, the most important recognizers were those based on computer vision. When drink orders were being placed, however, the most important information source was the speech recognition. Interestingly, the participants used only a subset of the available information, focussing only on a few relevant recognizers while ignoring others. This reduced the risk of acting on erroneous sensor data and enabled them to complete service interactions more swiftly than a robot using all available sensor data. We also investigated socially appropriate response strategies. In their responses,the participants preferred to use the same modality as the customer’s requests, e.g., they tended to respond verbally to verbal requests. Also, they added redundancy to their responses, for instance by using echo questions. We argue that incorporating the social strategies discovered with the GiM paradigm in multimodal grammars of human–robot interactions improves the robustness and the ease-of-use of these interactions, and therefore provides a smoother user experience. (shrink)

This paper examines interaction involving a child with an Autistic Spectrum Disorder, a humanoid robot and a co-present adult. In this paper data from one child (collected as part of the ROBOSKIN project) is analysed in order to evaluate the potential contributions of a conversation analytic perspective to the examination of data relating to socio-emotional reciprocity. The paper argues for the value of treating all interaction as potentially relevant, looking without carefully pre-defined target behaviours and examining behaviour within its (...) specific sequence of interaction. Adopting this approach, the paper suggests, enables noticings and observations that might not be available from perspectives that rely on the coding of pre-specified behaviours in isolation. Treating all interaction as potentially relevant brought into view interactions that might otherwise be dismissed or ignored – because they occurred before, or after, the trial itself. Being informed by the value of unmotivated looking – rather than pre-specified coding schemes – enabled highly relevant behaviour that was not anticipated within the trials to be analysed. Finally, seeing sequence as important meant that behaviours were appreciated in their intricate detail, enabling a more precise understanding than might be available if they were considered separately from that sequential environment. Keywords: autism; assessment; autistic spectrum disorder; experiment; conversation analysis; interaction; humanoid robot; sequences; sequence of interaction; socio-emotional reciprocity. (shrink)

Many researchers from robotics, machine ethics, and adjacent fields seem to assume that norms represent good behavior that social robots should learn to benefit their users and society. We would like to complicate this view and present seven key troubles with norm-compliant robots: (1) norm biases, (2) paternalism (3) tyrannies of the majority, (4) pluralistic ignorance, (5) paths of least resistance, (6) outdated norms, and (7) technologically-induced norm change. Because discussions of why norm-compliant robots can be problematic are noticeably absent (...) from the robot and machine ethics literature, this paper fills an important research gap. We argue that it is critical for researchers to take these issues into account if they wish to make norm-compliant robots. (shrink)

This article offers comprehensive criticism of the Turing test and develops quality criteria for new artificial general intelligence (AGI) assessment tests. It is shown that the prerequisites A. Turing drew upon when reducing personality and human consciousness to “suitable branches of thought” re-flected the engineering level of his time. In fact, the Turing “imitation game” employed only symbolic communication and ignored the physical world. This paper suggests that by restricting thinking ability to symbolic systems alone Turing unknowingly constructed “the wall” (...) that excludes any possi-bility of transition from a complex observable phenomenon to an abstract image or concept. It is, therefore, sensible to factor in new requirements for AI (artificial intelligence) maturity assessment when approaching the Tu-ring test. Such AI must support all forms of communication with a human being, and it should be able to comprehend abstract images and specify con-cepts as well as participate in social practices. (shrink)

As China and the United States strive to be the primary global leader in AI, their visions are coming into conflict. This is frequently painted as a fundamental clash of civilisations, with evidence based primarily around each country’s current political system and present geopolitical tensions. However, such a narrow view claims to extrapolate into the future from an analysis of a momentary situation, ignoring a wealth of historical factors that influence each country’s prevailing philosophy of technology and thus their overarching (...) AI strategies. In this article, we build a philosophy-of-technology-grounded framework to analyse what differences in Chinese and American AI policies exist and, on a fundamental level, why they exist. We support this with Natural Language Processing methods to provide an evidentiary basis for our analysis of policy differences. By looking at documents from three different American presidential administrations––Barack Obama, Donald Trump, and Joe Biden––as well as both national and local policy documents (many available only in Chinese) from China, we provide a thorough comparative analysis of policy differences. This article fills a gap in US–China AI policy comparison and constructs a framework for understanding the origin and trajectory of policy differences. By investigating what factors are informing each country’s philosophy of technology and thus their overall approach to AI policy, we argue that while significant obstacles to cooperation remain, there is room for dialogue and mutual growth. (shrink)

As arti® cial intelligence moves ever closer to the goal of producing fully autonomous agents, the question of how to design and implement an arti® cial moral agent (AMA) becomes increasingly pressing. Robots possessing autonomous capacities to do things that are useful to humans will also have the capacity to do things that are harmful to humans and other sentient beings. Theoretical challenges to developing arti® cial moral agents result both from controversies among ethicists about moral theory itself, and from (...) computational limits to the implementation of such theories. In this paper the ethical disputes are surveyed, the possibility of a `moral Turing Test ’ is considered and the computational di culties accompanying the diŒerent types of approach are assessed. Human-like performance, which is prone to include immoral actions, may not be acceptable in machines, but moral perfection may be computationally unattainable. The risks posed by autonomous machines ignorantly or deliberately harming people and other sentient beings are great. The development of machines with enough intelligence to assess the eŒects of their actions on sentient beings and act accordingly may ultimately be the most important task faced by the designers of arti® cially intelligent automata. (shrink)

This book deals with the ethics of technology and addresses specific ethical problems related to some emerging technologies, mainly in the field of computer science (from machine learning models to extracting value from data to human–robot interaction). The contributions are authored mainly by scholars in ICT and other engineering fields who reflect on ethical and societal issues emerging from their own research activity. Thus, rather uniquely, the work overcomes the traditional divide between pure ethical theory that disregards what practitioners (...) do and mere R&D practice that ignores what theorists conceptualize. Conversely, the reader is enabled to understand what ethics means when it is actually put into work by engineering researchers. The book arises from a joint program between MIT and Politecnico di Milano aimed at training early career researchers in addressing the ethical issues of technology and critically reflecting on the social impacts of the emerging, and even disruptive, technologies they are currently developing through their novel research. Overall, it aims at spreading the task of developing technologies that, from the beginning, are designed to be responsible for human life, society, and nature. (shrink)

The concept of “autonomy”, once at the core of the original enactivist proposal in The Embodied Mind, is nowadays ignored or neglected by some of the most prominent contemporary enactivists approaches. Theories of autonomy, however, come to fill a theoretical gap that sensorimotor accounts of cognition cannot ignore: they provide a naturalized account of normativity and the resources to ground the identity of a cognitive subject in its specific mode of organization. There are, however, good reasons for the contemporary neglect (...) of autonomy as a relevant concept for enactivism. On the one hand, the concept of autonomy has too often been assimilated into autopoiesis and the implications are not always clear for a dynamical sensorimotor approach to cognitive science. On the other hand, the foundational enactivist proposal displays a metaphysical tension between the concept of operational closure, deployed as constitutive, and that of structural coupling ; making it hard to reconcile with the claim that experience is sensorimotorly constituted. This tension is particularly apparent when Varela et al. propose Bittorio as a model of the operational closure of the nervous system as it fails to satisfy the required conditions for a sensorimotor constitution of experience. It is, however, possible to solve these problems by re-considering autonomy at the level of sensorimotor neurodynamics. Two recent robotic simulation models are used for this task, illustrating the notion of strong sensorimotor dependency of neurodynamic patterns, and their networked intertwinement. The concept of habit is proposed as an enactivist building block for cognitive theorizing, re-conceptualizing mental life as a habit ecology, tied within an agent’s behaviour generating mechanism in coordination with its environment. Norms can be naturalized in terms of dynamic, interactively self-sustaining, coherentism. This conception of autonomous sensorimotor agency is put in contrast with those enactive approaches that reject autonomy or neglect the theoretical resources it has to offer for the project of naturalizing minds. (shrink)

Responsable des crises économiques et environnementales catastrophiques qui l'affligent et menacent aujourd'hui de l'emporter, le genre humain est paradoxalement aussi un génie technologique dont les fruits de l'inventivité sont entrés dans une phase explosive faisant miroiter à la fois la promesse de l'immortalité individuelle et la déresponsabilisation par le transfert de la gestion des affaires à des machines. À quoi bon penser à l'heure où se profile à l'horizon la menace du remplacement de l'homme apprenti-sorcier par le robot, son (...) héritier? Paul Jorion a acquis sa réputation internationale en prévoyant la crise financière de 2008 et en étant conforté par les faits. Sa formation d'anthropologue et de sociologue, combinée à son goût pour les mathématiques et l'informatique, l'a conduit à jouer un rôle pionnier en anthropologie économique, en intelligence artificielle et en finance. Ses mises en garde sur le danger d'un effondrement ne relèvent en rien de la prophétie, elles s'appuient sur une expérience des processus culturels, économiques et technologiques, acquise sur le terrain. Elles mettent en accusation les choix politiques inconséquents débouchant sur un risque de collapse généralisé. Esprit libre et érudit, ignorant les approches disciplinaires "en silo-, Paul Jorion enrichit les outils de la pensée. Avec Franck Cormerais et Jacques Athanase Gilbert, il revient sur son parcours et sa démarche pour démontrer que seule une anthropologie radicale mobilisant la totalité du savoir que le genre humain a acquis sur son identité profonde est à même de prévenir son extinction."--Page 4 of cover. (shrink)

The emergence of complex deep-learning models capable of producing novel images on a practically innumerable number of subjects and in an equally wide variety of artistic styles is beginning to highlight serious inadequacies in the ethical, aesthetic, epistemological and legal frameworks we have so far used to categorise art. To begin tackling these issues and identifying a role for AI in the production and protection of human artwork, it is necessary to take a multidisciplinary approach which considers current legal precedents, (...) the practice of software engineering, historical attitudes towards technological innovation and a sustained technical analysis of the models themselves. This paper queries the location and nature of substantive artistic work in the developmental stages of an AI-generated image, offering critiques of existing assumptions and posing questions for future research. The emergence of convincing AI creative output, artistic or literary, has significant long-term implications for the humanities, including the need for re-appraisal of foundational ideas about authorship and creativity in general. The effects of artificial intelligence, whether generalised or task-specific, cannot be ignored or displaced now that easy-access, scalable image and text production is a reality. (shrink)

Ethics plays a key role in the normative analysis of the impacts of technology. We know that computers in general and the processing of data, the use of artificial intelligence, and the combination of computers and/or artificial intelligence with robotics are all associated with ethically relevant implications for individuals, groups, and society. In this article, we argue that while all technologies are ethically relevant, there is no need to create a separate ‘ethics of X’ or ‘X ethics’ for each and (...) every subtype of technology or technological property—e.g. computer ethics, AI ethics, data ethics, information ethics, robot ethics, and machine ethics. Specific technologies might have specific impacts, but we argue that they are often sufficiently covered and understood through already established higher-level domains of ethics. Furthermore, the proliferation of tech ethics is problematic because (a) the conceptual boundaries between the subfields are not well-defined, (b) it leads to a duplication of effort and constant reinventing the wheel, and (c) there is danger that participants overlook or ignore more fundamental ethical insights and truths. The key to avoiding such outcomes lies in a taking the discipline of ethics seriously, and we consequently begin with a brief description of what ethics is, before presenting the main forms of technology related ethics. Through this process, we develop a hierarchy of technology ethics, which can be used by developers and engineers, researchers, or regulators who seek an understanding of the ethical implications of technology. We close by deducing two principles for positioning ethical analysis which will, in combination with the hierarchy, promote the leveraging of existing knowledge and help us to avoid an exaggerated proliferation of tech ethics. (shrink)

Media outlets, industry researchers, and policy-makers are today busily extolling new robotic advances that promise to transform agriculture, bringing us ever closer to self-farming farms. Yet such techno-optimist discourse ignores the cautionary lessons of past attempts to mechanize farms. Adapting the Social Construction of Technology framework, we trace the history of efforts to replace human labor with machine labor on fruit, nut, and vegetable farms in California between 1945 and 1980—a place and time during which a post-WWII culture of faith (...) in the beneficence of technoscience applications to agriculture reached an apex. The degree to which and forms whereby mechanization gains momentum hinges on whether, how, and among whom a technological frame for mimicking human capabilities and supplanting workers coalesces. These frames, we find, vary considerably across crops, reflecting complex interactions of biology, farmer and farm worker behavior, industry supply chains, agricultural research and development, financial flows, and beliefs about labor, race, gender, and immigration. To tease out these complex dynamics, we draw directly from archival evidence to follow the development of cultivation and harvest machines through four cases spanning a spectrum of outcomes—tomatoes, nuts, peaches, and lettuce. In comparing across these cases, we find that although agricultural engineers, scientists, and their boosters framed mechanization as a triumphal narrative of progress in ‘human vs. nature’ conflicts, this techno-optimist rhetoric camouflaged deeper ‘human vs. human’ conflicts, particularly among agribusiness, farmers, and farm workers. We conclude with several insights that this historical study brings to the study of agricultural automation today. (shrink)

The moral importance of liability to harm has so far been ignored in the lively debate about what self-driving vehicles should be programmed to do when an accident is inevitable. But liability matters a great deal to just distribution of risk of harm. While morality sometimes requires simply minimizing relevant harms, this is not so when one party is liable to harm in virtue of voluntarily engaging in activity that foreseeably creates a risky situation, while having reasonable alternatives. On plausible (...) assumptions, merely choosing to use a self-driving vehicle typically gives rise to a degree of liability, so that such vehicles should be programmed to shift the risk from bystanders to users, other things being equal. Insofar vehicles cannot be programmed to take all the factors affecting liability into account, there is a pro tanto moral reason not to introduce them, or restrict their use. (shrink)

A key distinction in ethics is between members and nonmembers of the moral community. Over time, our notion of this community has expanded as we have moved from a rationality criterion to a sentience criterion for membership. I argue that a sentience criterion is insufficient to accommodate all members of the moral community; the true underlying criterion can be understood in terms of whether a being has interests. This may be extended to conscious, self-aware machines, as well as to any (...) autonomous intelligent machines. Such machines exhibit an ability to formulate desires for the course of their own existence; this gives them basic moral standing. While not all machines display autonomy, those which do must be treated as moral patients; to ignore their claims to moral recognition is to repeat past errors. I thus urge moral generosity with respect to the ethical claims of intelligent machines. (shrink)

This paper examines interaction involving a child with an Autistic Spectrum Disorder, a humanoid robot and a co-present adult. In this paper data from one child is analysed in order to evaluate the potential contributions of a conversation analytic perspective to the examination of data relating to socio-emotional reciprocity. The paper argues for the value of treating all interaction as potentially relevant, looking without carefully pre-defined target behaviours and examining behaviour within its specific sequence of interaction. Adopting this approach, (...) the paper suggests, enables noticings and observations that might not be available from perspectives that rely on the coding of pre-specified behaviours in isolation. Treating all interaction as potentially relevant brought into view interactions that might otherwise be dismissed or ignored – because they occurred before, or after, the trial itself. Being informed by the value of unmotivated looking – rather than pre-specified coding schemes – enabled highly relevant behaviour that was not anticipated within the trials to be analysed. Finally, seeing sequence as important meant that behaviours were appreciated in their intricate detail, enabling a more precise understanding than might be available if they were considered separately from that sequential environment. Keywords: autism; assessment; autistic spectrum disorder; experiment; conversation analysis; interaction; humanoid robot; sequences; sequence of interaction; socio-emotional reciprocity. (shrink)

What are the limits of the use of artificial intelligence (AI) in the relational aspects of medical and nursing care? There has been a lot of recent work and applications showing the promise and efficiency of AI in clinical medicine, both at the research and treatment levels. Many of the obstacles discussed in the literature are technical in character, regarding how to improve and optimize current practices in clinical medicine and also how to develop better data bases for optimal parameter (...) adjustments and predictive algorithms. This paper argues that there are also in principle obstacles to the application of AI in clinical medicine and care where empathy is important, and that these problems cannot be solved with any of the technical and theoretical approaches that shape the current application of AI in specific areas of clinical medicine in which care for patients is fundamental. This is important, because it generates specific risks that may be overlooked otherwise, and it justifies the necessity of human monitoring and emotional intervention in clinical medicine. Consequently, difficult issues concerning moral and legal responsibility may ensue if these in principle problems are ignored. (shrink)

This paper presents an intuitive explanation about why and how Rawlsian Theory of Justice (Rawls in A theory of justice, Harvard University Press, Harvard, 1971) provides the foundations to a solution for algorithmic bias. The contribution of the paper is to discuss and show why Rawlsian ideas in their original form (e.g. the veil of ignorance, original position, and allowing inequalities that serve the worst-off) are relevant to operationalize fairness for algorithmic decision making. The paper also explains how this leads (...) to a specific MinMaxfairness solution, which addresses the basic challenges of algorithmic justice. We combine substantive elements of Rawlsian perspective with an intuitive explanation in order to provide accessible and practical insights. The goal is to propose and motivate why and how the MinMaxfairness solution derived from Rawlsian principles overcomes some of the current challenges for algorithmic bias and highlight the benefits provided when compared to other approaches. The paper presents and discusses the solution by building a bridge between the qualitative theoretical aspects and the quantitative technical approach. (shrink)

With the increased use of Artificial Intelligence (AI) in wildlife conservation, issues around whether AI-based monitoring tools in wildlife conservation comply with standards regarding AI Ethics are on the rise. This review aims to summarise current debates and identify gaps as well as suggest future research by investigating (1) current AI Ethics and AI Ethics issues in wildlife conservation, (2) Initiatives Stakeholders in AI for wildlife conservation should consider integrating AI Ethics in wildlife conservation. We find that the existing literature (...) weakly focuses on AI Ethics and AI Ethics in wildlife conservation while at the same time ignores AI Ethics integration in AI systems for wildlife conservation. This paper formulates an ethically aligned AI system framework and discusses pre-eminent on-demand AI systems in wildlife conservation. The proposed framework uses agile software life cycle methodology to implement guidelines towards the ethical upgrade of any existing AI system or the development of any new ethically aligned AI system. The guidelines enforce, among others, the minimisation of intentional harm and bias, diversity in data collection, design compliance, auditing of all activities in the framework and ease of code inspection. This framework will inform AI developers, users, conservationists, and policymakers on what to consider when integrating AI Ethics into AI-based systems for wildlife conservation. (shrink)

p. 13: But if Mayr himself was an unconscious 'physicalist', why did he argue so forcefully against the machine theory of life? In part his dissatisfaction with this approach can be explained as a residue of earlier experiences. When he started to argue for the autonomy of biology in the early 1960s, the unique, emergent characteristics of organisms were ignored by the philosophy of science which was dominated by physics (Greene 1994; Hull 1994). In this situation Mayr not only criticised (...) this particular neglect as reductionism, but questioned the usefulness of the physicalist approach for biology in general. In recent decades this situation has clearly changed and this was also due to Mayr's relentless fight for the recognition of the unique aspects of biology. Nevertheless he stuck to his broad rejection and ignored developments toward a more sophisticated view (cf. Emmeche, Koppe and Stjernfelt 1997). But there is probably more to it. His second motivation is an emotional aversion against connotations and implications of the word 'machine'. The view that organisms-including humans!-are 'survival machines', 'robot vehicles' programmed to preserve their genes conveys a deterministic and mechanistic view that is perceived by many persons as a gross 'narcissistic insult' (Freud 1917, pp. 6, 7). It is a view that Mayr definitely did not appreciate. (shrink)

Michael Arbib was born in England, grew up in Australia, and studied at MIT where he received his PhD in Mathematics in 1963. He helped to found the Department of Computer and Information Science and the Center for Systems Neuroscience, the Cognitive Science Program, and the Laboratory for Perceptual Robotics at the University of Massachusetts at Amherst. Today he is Fletcher Jones Professor of Computer Science, a Professor of Neuroscience and the Director of the USC Brain Project at the University (...) of Southern California. The title of his first book, Brains, Machines and Mathematics , gives a good indication of his scientific interests. For all his extensive research in these areas, however, Arbib has not ignored philosophical, social, and even theological topics . Central to his work in all of these areas is the concept of schema, and this is one of the topics that we discuss here. (shrink)

Philosophical interest in intentional action has flourished in recent decades. Typically, writers in the field of action theory seek necessary and sufficient conditions for a movement's being an action, conditions derived from a conceptual analysis of everyday action ascriptions. However, only a naturalistic account of intentional action, an account whose methods and aims are continuous with those of the empirical sciences, will truly help further our understanding of action as a biological phenomenon. ;Action is naturalized as a species of movement (...) that is both purposive and self-controlled, using these terms in novel senses. Various psychological and physiological models of purposiveness have been offered, including negative feedback, motor program, and dynamical systems models. However, while such non-historical models offer valuable insights into the nature of how organisms control their movements, they fail as general models of purposiveness because consideration of a movement's selectional history is required in order to classify movements as unitary behaviors rather than merely accidental motions. Non-historical models also fail to cover instances of unsuccessful purposive movements and cases of "functionally emergent behaviors." For such reasons, purposiveness must be seen as an historical property of movements; a movement is purposive insofar as it has a Millikanian proper function. ;An agent's capacity to exert a high degree of control over its movements marks the second key underlying property of action. I highlight an aspect of behavior-control which empirical theorists have largely ignored, namely the extent to which agents "could have done otherwise" than how they have in fact acted upon particular occasions. Self-control in this "could have done otherwise" sense is naturalized in terms of "modulatory interconnectivity." Modulatory interconnectivity involves the extent to which an agent's internal behavior-control modules facilitate behavioral interruptability via the interaction of informational links of inhibition and/or suppression. The greater the extent to which an agent's behavior-control modules have the capacity to modulate one another's activities, the more the agent has the capacity for self-control in the "could have done otherwise" sense. This view is elucidated and supported with the aid of models from robotics and neurophysiology. (shrink)

For a long time, emotions have been ignored in the attempt to model intelligent behavior. However, within the last years, evidence has come from neuroscience that emotions are an important facet of intelligent behavior being involved into cognitive problem solving, decision making, the establishment of social behavior, and even conscious experience. Also in research communities like software agents and robotics, an increasing number of researchers start to believe that computational models of emotions will be needed to design intelligent systems. Nevertheless, (...) modeling emotions in technical terms poses many difficulties and has often been accounted as just not feasible. In this article, there are identified the main problems, which occur when attempting to implement emotions into machines. By pointing out these problems, it is aimed to avoid repeating mistakes committed when modeling computational models of emotions in order to speed up future development in this area. The identified issues are not derived from abstract reflections about this topic but from the actual attempt to implement emotions into a technical system based on neuroscientific research findings. It is argued that besides focusing on the cognitive aspects of emotions, a consideration of the bodily aspects of emotions—their grounding into a visceral body—is of crucial importance, especially when a system shall be able to learn correlations between environmental objects and events and their “emotional meaning”. (shrink)

In the wake of the information technology (IT) revolution, the paper describes the changing role of universities to promote IT education in India to generate qualitative and competitive manpower in the face of the mushrooming of private institutions in the field of IT. The rapid growth of private teaching initiatives reflects inadequacies of the public educational system to the needs of the emerging IT environment, especially considering the high prices charged by private training. It is pointed out that the emerging (...) knowledge society and the economy are not going to be based on IT alone, but will depend on the development of both IT and basic research in domain areas. Any policy on IT education should ensure that basic disciplines are not ignored. Universities should develop new and innovative programmes for students from different basic disciplines to give training for high-end jobs. To promote IT education a new innovative concept of earning while learning has recently been introduced. Some of the initiatives started by Delhi University to modify/improve course programmes for IT education are highlighted, looking at the needs of the industry. (shrink)

Theories related to cognitive sciences, Human-in-the-loop Cyber-physical systems, data analysis for decision-making, and computational ethics make clear the need to create transdisciplinary learning, research, and application strategies to bring coherence to the paradigm of a truly human-oriented technology. Autonomous objects assume more responsibilities for individual and collective phenomena, they have gradually filtered into routines and require the incorporation of ethical practice into the professions related to the development, modeling, and design of algorithms. To make this possible, it is pertinent and (...) urgent to bring them closer to the problems and approaches of the humanities. Increasingly transdisciplinary research must be part of the construction of systems that provide developers and scientists with the necessary bases to understand the ethical debate and therefore their commitment to society. This article considers two theories as articulating axes: Blumenberg’s, coming from the field of philosophy, for whom the process of technification and especially the implementation of mathematical models in their algorithmic form leads to an emptying of meaning and therefore makes programmers who implement their functions to be alien to the concerns that gave them origin; Daston’s, belonging to the field of the history of science and according to which the division of labor in the processes of technification of the calculation implies a kind of subordination in which those who implement the inventions of a small group of privileged mathematicians ignore the procedures that put them into operation. Given these two theories, the black box models prevalent in AI development, and the urgency of establishing explanatory frameworks for the development of computational ethics, this article exposes the need to give a voice to the cultural history of consciousness for promoting the discussions around the implementation of mathematical algorithms. The paper takes as a reference the different points of view that have emerged around the study of technological ethics, its applicability, management, and design. It criticizes the current state of studies from a humanistic perspective and explains how the historical perspective allows promoting the training of software engineers, developers and creators so that they assume intuitions and moral values in the development of their work. Specifically, it aims to expose how cultural history, applied to the study of consciousness and its phenomena, makes those involved in this technological revolution aware of the effect that they, through their algorithms, have on society in general and on human beings in particular. (shrink)

For decision making in government, it is necessary to have well-structured sources of information. In several countries, it is difficult to access government data as the information are dispersed, disconnected, and poorly structured. For this reason, this work presents a framework to gather, unify, and enrich missing person data from distributed web sources. The framework allows inserting new tasks specific to the user’s domain to improve data quality. In this study, Brazilian missing person data from non-governmental organizations (NGOs) and governmental (...) websites were collected and semantically enriched. To enhance the understanding of the gathered missing people cases, we create interpretive models using machine learning techniques to extract knowledge and to encourage the use of standards for publishing the data that are frequently ignored by organizations, hindering analysis and decision-making on data. After the collection and semantic enrichment process, there was an increase of approximately 11% in the data present in the base. Also, the mining process evidenced the disappearance and reappearance of a person in Brazil according to several factors such as age, state initiatives, skin tone, hair colors, etc. (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)