Artificial agents have become increasingly prevalent in human social life. In light of the diversity of new human–machine interactions, we face renewed questions about the distribution of moral responsibility. Besides positions denying the mere possibility of attributing moral responsibility to artificial systems, recent approaches discuss the circumstances under which artificial agents may qualify as moral agents. This paper revisits the discussion of how responsibility might be distributed between artificial agents and human interaction partners (including producers of artificial (...) agents) and raises the question of whether attributions of responsibility should remain entirely on the human side. While acknowledging a crucial difference between living human beings and artificial systems culminating in an asymmetric feature of human–machine interactions, this paper investigates the extent to which artificial agents may reasonably be attributed a share of moral responsibility. To elaborate on criteria that can justify a distribution of responsibility in certain human–machine interactions, the role of types of criteria (interaction-related criteria and criteria that can be deferred from socially constructed responsibility relationships) is examined. Thereby, the focus will lay on the evaluation of potential criteria referring to the fact that artificial agents surpass in some aspects the capacities of humans. This is contrasted with socially constructed responsibility relationships that do not take these criteria into account. In summary, situations are examined in which it seems plausible that moral responsibility can be distributed between artificial and human agents. (shrink)

Although even very advanced artificial systems do not meet the demanding conditions which are required for humans to be a proper participant in a social interaction, we argue that not all human-machine interactions (HMIs) can appropriately be reduced to mere tool-use. By criticizing the far too demanding conditions of standard construals of intentional agency we suggest a minimal approach that ascribes minimal agency to some artificial systems resulting in the proposal of taking minimal joint actions as a case (...) of a social HMI. Analyzing such HMIs, we utilize Dennett’s stance epistemology, and argue that taking either an intentional stance or design stance can be misleading for several reasons, and instead propose to introduce a new stance that is able to capture social HMIs—the AI-stance. (shrink)

The focus of the following article is on the use of new robotic systems in the manufacturing industry with respect to the social dimension. Since “intuitive” human–machine interaction (HMI) in robotic systems becomes a significant objective of technical progress, new models of work organization are needed. This hypothesis will be investigated through the following two aims: The first aim is to identify relevant research questions related to the potential use of robotic systems in different systems of work (...) organization at the manufacturing shop-floor level. The second aim is to discuss the conceptualization of (old) organizational problems of human–robot interaction (HRI). In this context, the article reflects on the limits of cognitive and perceptual workload for robot operators in complex working systems. This will be particularly relevant whenever more robots with different “roles” are to be increasingly used in the manufacturing industry. The integration of such complex socio-technical systems needs further empirical and conceptual research with regard to “social” aspects of the technical dimension. Future research should, therefore, also integrate economic and societal issues to understand the full dimensions of new human–robot interaction in industry today. (shrink)

In this paper, we theoretically address the relevance of unintentional and inconsistent interactional elements in human–robot interactions. We argue that elements failing, or poorly succeeding, to reproduce a humanlike interaction create significant consequences in human–robot relational patterns and may affect human–human relations. When considering social interactions as systems, the absence of a precise interactional element produces a general reshaping of the interactional pattern, eventually generating new types of interactional settings. As an instance of this dynamic, we study the (...) absence of metacommunicative abilities in social artifacts. Then, we analyze the pragmatic consequences of the aforementioned absence through the lens of Paul Watzlawick’s interactionist theory. We suggest that a fixed complementary interactional setting may be produced because of the asymmetric understanding, between robots and humans, of metacommunication. We highlight the psychological implications of this interactional asymmetry within Jessica Benjamin’s concept of “mutual recognition”. Finally, we point out the possible shift of dysfunctional interactional patterns from human–robot interactions to human–human ones. (shrink)

Today, artificial intelligence, especially machine learning, is structurally dependent on human participation. Technologies such as Deep Learning (DL) leverage networked media infrastructures and human-machine interaction designs to harness users to provide training and verification data. The emergence of DL is therefore based on a fundamental socio-technological transformation of the relationship between humans and machines. Rather than simulating human intelligence, DL-based AIs capture human cognitive abilities, so they are hybrid human-machine apparatuses. From a perspective of media philosophy and social-theoretical (...) critique, I differentiate five types of “media technologies of capture” in AI apparatuses and analyze them as forms of power relations between humans and machines. Finally, I argue that the current hype about AI implies a relational and distributed understanding of (human/artificial) intelligence, which I categorize under the term “cybernetic AI”. This form of AI manifests in socio-technological apparatuses that involve new modes of subjectivation, social control and discrimination of users. (shrink)

This article synthesizes the current theoretical attempts to understand human-machine interactions and introduces seven premises to understand our emerging dynamics with increasingly competent, pervasive, and instantly accessible algorithms. The hope that these seven premises can build toward a social theory of human-AI cocreation. The focus on human-AI cocreation is intended to emphasize two factors. First, is the fact that our machine learning systems are socialized. Second, is the coevolving nature of human mind and AI systems as smart devices form (...) an indispensable part of our cognitive scaffolds, thus, shaping how we perceive the world and ourselves. The seven premises include: primacy of social structures; human’s desire for freedom and autonomy; AI systems will form inseparable parts of our cognitive/affective scaffolds and can change our self-understanding; philosophy and humanistic foundations on human flourishing as a guide to human-AI interaction; mindsponge information-filtering process; acculturative process of how values change and emerge from human-AI interaction; overlapping Venn diagram of the human-human, human-nature, and human-machine interactions. This article concludes with a discussion on human agency in our entanglements with socialized machines and the illusoriness of the Cartesian agent view of the mind. (shrink)

Interactions between an intelligent software agent and a human user are ubiquitous in everyday situations such as access to information, entertainment, and purchases. In such interactions, the ISA mediates the user’s access to the content, or controls some other aspect of the user experience, and is not designed to be neutral about outcomes of user choices. Like human users, ISAs are driven by goals, make autonomous decisions, and can learn from experience. Using ideas from bounded rationality, we frame these interactions (...) as instances of an ISA whose reward depends on actions performed by the user. Such agents benefit by steering the user’s behaviour towards outcomes that maximise the ISA’s utility, which may or may not be aligned with that of the user. Video games, news recommendation aggregation engines, and fitness trackers can all be instances of this general case. Our analysis facilitates distinguishing various subcases of interaction, as well as second-order effects that might include the possibility for adaptive interfaces to induce behavioural addiction, and/or change in user belief. We present these types of interaction within a conceptual framework, and review current examples of persuasive technologies and the issues that arise from their use. We argue that the nature of the feedback commonly used by learning agents to update their models and subsequent decisions could steer the behaviour of human users away from what benefits them, and in a direction that can undermine autonomy and cause further disparity between actions and goals as exemplified by addictive and compulsive behaviour. We discuss some of the ethical, social and legal implications of this technology and argue that it can sometimes exploit and reinforce weaknesses in human beings. (shrink)

Social machines are systems formed by material and human elements interacting in a structured way. The use of digital platforms as mediators allows large numbers of humans to participate in such machines, which have interconnected AI and human components operating as a single system capable of highly sophisticated behavior. Under certain conditions, such systems can be understood as autonomous goal-driven agents. Many popular online platforms can be regarded as instances of this class of agent. We argue that autonomous (...) class='Hi'>social machines provide a new paradigm for the design of intelligent systems, marking a new phase in AI. After describing the characteristics of goal-driven social machines, we discuss the consequences of their adoption, for the practice of artificial intelligence as well as for its regulation. (shrink)

Robots as social companions in close proximity to humans have a strong potential of becoming more and more prevalent in the coming years, especially in the realms of elder day care, child rearing, and education. As human beings, we have the fascinating ability to emotionally bond with various counterparts, not exclusively with other human beings, but also with animals, plants, and sometimes even objects. Therefore, we need to answer the fundamental ethical questions that concern human-robot-interactions per se, and we (...) need to address how we conceive of »good lives«, as more and more of the aspects of our daily lives will be interwoven with social robots. (shrink)

Social machines are systems formed by technical and human elements interacting in a structured manner. The use of digital platforms as mediators allows large numbers of human participants to join such mechanisms, creating systems where interconnected digital and human components operate as a single machine capable of highly sophisticated behaviour. Under certain conditions, such systems can be described as autonomous and goal-driven agents. Many examples of modern Artificial Intelligence (AI) can be regarded as instances of this class of mechanisms. (...) We argue that this type of autonomous social machines has provided a new paradigm for the design of intelligent systems marking a new phase in the field of AI. The consequences of this observation range from methodological, philosophical to ethical. On the one side, it emphasises the role of Human-Computer Interaction in the design of intelligent systems, while on the other side it draws attention to both the risks for a human being and those for a society relying on mechanisms that are not necessarily controllable. The difficulty by companies in regulating the spread of misinformation, as well as those by authorities to protect task-workers managed by a software infrastructure, could be just some of the effects of this technological paradigm. (shrink)

This paper develops a taxonomy of kinds of actions that can be seen in group agency, human–machine interactions, and virtual realities. These kinds of actions are special in that they are not embodied in the ordinary sense. I begin by analysing the notion of embodiment into three separate assumptions that together comprise what I call the Embodiment View. Although this view may find support in paradigmatic cases of agency, I suggest that each of its assumptions can be relaxed. With (...) each assumption that is given up, a different kind of disembodied action becomes available. The taxonomy gives a systematic overview and suggests that disembodied actions have the same theoretical relevance as the actions of any ordinarily embodied human. (shrink)

We explore the question of whether machines can infer information about our psychological traits or mental states by observing samples of our behaviour gathered from our online activities. Ongoing technical advances across a range of research communities indicate that machines are now able to access this information, but the extent to which this is possible and the consequent implications have not been well explored. We begin by highlighting the urgency of asking this question, and then explore its conceptual underpinnings, in (...) order to help emphasise the relevant issues. To answer the question, we review a large number of empirical studies, in which samples of behaviour are used to automatically infer a range of psychological constructs, including affect and emotions, aptitudes and skills, attitudes and orientations (e.g. values and sexual orientation), personality, and disorders and conditions (e.g. depression and addiction). We also present a general perspective that can bring these disparate studies together and allow us to think clearly about their philosophical and ethical implications, such as issues related to consent, privacy, and the use of persuasive technologies for controlling human behaviour. (shrink)

Transhumanists, like other elites in modernity, place great value on human creativity, and advances in human enhancement and AI form the basis of their propos- als for boosting it. However, there are problems with this perspective, due to the unique ways in which humans have evolved, procreated and socialized. I first describe how creativity is related to past evolution and developmental aspects in children, stressing pretend play and the ambivalent character of creativity. Then, I outline proposals for enhancing creativity, be (...) it in embodied humans on the way to a superior species, in AI- related beings (virtual reality, robotics), or even in any degree of mixture in human- machine interaction. In the final section, I describe intrinsic limits to these proposals, such as the absence of a good understanding of human psychology by the proponents of enhancement; the lack of interest in the subjective side of creativity (for one’s own sake); delayed maturation and the ambivalence of pretend play in childhood; and the contrariness typical of new human generations. As for the enhancement of creativity, it is argued that creativity in its social context may be the victim of its own past success. On the other hand, an asymmetry between virtual beings and children is described— the latter can behave in a nasty way, it is part of their growth and creativity, whereas the former are not supposed to cause any harm to human beings. In sum, despite impressive progress in several scientific and technological interventions in creativity, philosophical questions emerge that place many constraints on transhumanist dreams of endless creativity. (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)

The increasing use of artificial intelligence (AI) systems in our daily life through various applications, services, and products explains the significance of trust/distrust in AI from a user perspective. AI-driven systems have significantly diffused into various fields of our lives, serving as beneficial tools used by human agents. These systems are also evolving to act as co-assistants or semi-agents in specific domains, potentially influencing human thought, decision-making, and agency. Trust/distrust in AI plays the role of a regulator and could significantly (...) control the level of this diffusion, as trust can increase, and distrust may reduce the rate of adoption of AI. Recently, varieties of studies have paid attention to the variant dimension of trust/distrust in AI, and its relevant considerations. In this systematic literature review, after conceptualization of trust in the current AI literature review, we will investigate trust in different types of human-Machine interaction, and its impact on technology acceptance in different domains. In addition to that, we propose a taxonomy of technical (i.e., safety, accuracy, robustness) and non-technical axiological (i.e., ethical, legal, and mixed) trustworthiness metrics, and some trustworthy measurements. Moreover, we examine some major trust-breakers in AI (e.g., autonomy and dignity threat), and trust makers; and propose some future directions and probable solutions for the transition to a trustworthy AI. (shrink)

In an era of digital revolution, artificial intelligence, big data and augmented reality, technology has shifted from being a tool of communication to a primary medium of experience and sociality. Some of the most basic human capacities are increasingly being outsourced to machines and we increasingly experience and interpret the world through digital interfaces, with machines becoming ever more ‘social’ beings. Social interaction and human perception are being reshaped in unprecedented ways. This book explores this technologisation of (...) the social and the attendant penetration of permanent liminality into those aspects of the lifeworld where individuals had previously sought some kind of stability and meaning. Through a historical and anthropological examination of this phenomenon, it problematises the underlying logic of limitless technological expansion and our increasing inability to imagine either ourselves or our world in other than technological terms. Drawing on a variety of concepts from political anthropology, including liminality, the trickster, imitation, schismogenesis, participation, and the void, it interrogates the contemporary technological revolution in a manner that will be of interest to sociologists, social and anthropological theorists and scholars of science and technology studies with interests in the digital transformation of social life. -/- Table of Contents -/- Introduction: The Technologisation of the Social: A 21st-Century Megamachine? Paul O’Connor -/- 1. Communication as Theatricalisation: Self-Presentation in the Digital Age Arpad Szakolczai -/- 2. Parasites of the Social: Digital Disruptions of the Labour Market Tom Boland -/- 3. Possessed by Technology: The Metastasis of Absence Agnes Horvath -/- 4. Technologisation of the Social: Symbiosis, Parasitism, or Predation? Daniel Gati -/- 5. J'accuse Zéro: The Technology of Zero and the Making of a Personal Void Ray Griffin -/- 6. Digital Affordances and the Liminal Stephen Turner -/- 7. The Smart Womb: Digital Technologies and the Maze of Trickster Politics Marius Ion Benta -/- 8. Brave New Industry? The Dark Side of Dematerialisation and Industry 4.0 Thomas S.J. Smith -/- 9. ‘What Have You Caught?’: Nannycams and Hidden Cameras as Normalised Surveillance of the Intimate Janos Mark Szakolczai -/- 10. Coercive Visibility: Discipline in the Digital Public Arena Paul O’Connor -/- Conclusion: Is There a Way Out of the Technologisation of the Social? Marius Ion Benta. (shrink)

We cooperate with other people despite the risk of being exploited or hurt. If future artificial intelligence (AI) systems are benevolent and cooperative toward us, what will we do in return? Here we show that our cooperative dispositions are weaker when we interact with AI. In nine experiments, humans interacted with either another human or an AI agent in four classic social dilemma economic games and a newly designed game of Reciprocity that we introduce here. Contrary to the hypothesis (...) that people mistrust algorithms, participants trusted their AI partners to be as cooperative as humans. However, they did not return AI's benevolence as much and exploited the AI more than humans. These findings warn that future self-driving cars or co-working robots, whose success depends on humans' returning their cooperativeness, run the risk of being exploited. This vulnerability calls not just for smarter machines but also better human-centered policies. (shrink)

This paper reviews the different meanings of vulnerability in the AI Act (AIA). We show that the AIA follows a rather established tradition of looking at vulnerability as a trait or a state of certain individuals and groups. It also includes a promising account of vulnerability as a relation but does not clarify if and how AI changes this relation. We spot the missing piece of the AIA: the lack of recognition that vulnerability is an inherent feature of all human-AI (...) interactions, varying in degree based on design choices and modes of interaction. Finally, we show how such a meaning of vulnerability may be incorporated into the AIA by interpreting the concept of “specific social situation” in Article 5 (b). (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal evidence (...) from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

The machine-organism analogy has played a pivotal role in the history of Western philosophy and science. Notwithstanding its apparent simplicity, it hides complex epistemological issues about the status of both organism and machine and the nature of their interaction. What is the real object of this analogy: organisms as a whole, their parts or, rather, bodily functions? How can the machine serve as a model for interpreting biological phenomena, cognitive processes, or more broadly the social and cultural transformations (...) of the relations between individuals, and between individuals and the environments in which they live? Wired Bodies. New Perspectives on the Machine-Organism Analogy provides the reader with some of the latest perspectives on this vast debate, addressing three major topics:1) the development of a ‘mechanistic’ framework in medicine and biology; 2) the methodological issues underlying the use of ‘simulation’ in cognitive science; 3) the interaction between humans and machines according to 20th-century epistemology. (shrink)

This book reports on theoretical and practical analyses of the ethical challenges connected to driving automation. It also aims at discussing issues that have arisen from the European Commission 2020 report “Ethics of Connected and Automated Vehicles. Recommendations on Road Safety, Privacy, Fairness, Explainability and Responsibility”. Gathering contributions by philosophers, social scientists, mechanical engineers, and UI designers, the book discusses key ethical concerns relating to responsibility and personal autonomy, privacy, safety, and cybersecurity, as well as explainability and human-machine (...) class='Hi'>interaction. On the one hand, it examines these issues from a theoretical, normative point of view. On the other hand, it proposes practical strategies to face the most urgent ethical problems, showing how the integration of ethics and technology can be achieved through design practices. All in all, this book fosters a multidisciplinary approach where philosophy, ethics, and engineering are integrated, rather than just juxtaposed. It is meant to inform and inspire an audience of philosophers of technology, ethicists, engineers, developers, manufacturers, and regulators, among other interested readers. (shrink)

This book constitutes refereed proceedings of the COST 2102 International Training School on Cognitive Behavioural Systems held in Dresden, Germany, in February 2011. The 39 revised full papers presented were carefully reviewed and selected from various submissions. The volume presents new and original research results in the field of human-machine interaction inspired by cognitive behavioural human-human interaction features. The themes covered are on cognitive and computational social information processing, emotional and social believable Human-Computer Interaction (HCI) (...) systems, behavioural and contextual analysis of interaction, embodiment, perception, linguistics, semantics and sentiment analysis in dialogues and interactions, algorithmic and computational issues for the automatic recognition and synthesis of emotional states. (shrink)

The value sensitive design (VSD) approach to designing transformative technologies for human values is taken as the object of study in this chapter. VSD has traditionally been conceptualized as another type of technology or instrumentally as a tool. The various parts of VSD’s principled approach would then aim to discern the various policy requirements that any given technological artifact under consideration would implicate. Yet, little to no consideration has been given to how laws, regulations, policies and social norms engage (...) within VSD practices. Similarly, how the interactive nature of the VSD approach can, in turn, influence those directives. This is exacerbated when we consider machine ethics policy that have global consequences outside their development spheres. What constructs and models will position AI designers to engage in policy concerns? How can the design of AI policy be integrated with technical design? How might VSD be used to develop AI policy? How might law, regulations, social norms, and other kinds of policy regarding AI systems be engaged within value sensitive design? This chapter takes the VSD as its starting point and aims to determine how laws, regulations and policies come to influence how value trade-offs can be managed within VSD practices. It shows that the iterative and interactional nature of VSD both permits and encourages existing policies to be integrated both early on and throughout the design process. The chapter concludes with some potential future research programs. (shrink)

There are important structural similarities in the way that animals and humans engage in unreflective activities, including unreflective social interactions in the case of higher animals. Firstly, it is a form of unreflective embodied intelligence that is ‘motivated’ by the situation. Secondly, both humans and non-human animals are responsive to ‘affordances’ (Gibson 1979); to possibilities for action offered by an environment. Thirdly, both humans and animals are selectively responsive to one affordance rather than another. Social affordances are a (...) subcategory of affordances, namely possibilities for social interaction offered by an environment: a friend’s sad face invites comforting behavior, a person waiting for a coffee machine can afford a conversation, and an extended hand affords a handshake. I will review recent insights in the nature of the bodily intentionality characteristic of unreflective action. Such ‘motor intentionality’ can be characterized as “our direct bodily inclination to act in a situated, environmental context” (Kelly 2005, p. 106). Standard interpretations of bodily intentionality see grasping an object as the paradigmatic example of motor intentionality. I will discuss the implications of another, novel perspective that emphasizes the importance of unreflective switches from one activity to another (Rietveld 2004) and understands bodily intentionality in terms of adequate responsiveness to a field of relevant affordances. In the final section I will discuss some implications for cognitive neuroscientists who use empirical findings related to the ‘mirror neuron system’ as a starting point for a theory of motor intentionality and social cognition. (shrink)

Interaction between drivers and pedestrians is often facilitated by informal communicative cues, like hand gestures, facial expressions, and eye contact. In the near future, however, when semi- and fully autonomous vehicles are introduced into the traffic system, drivers will gradually assume the role of mere passengers, who are casually engaged in non-driving-related activities and, therefore, unavailable to participate in traffic interaction. In this novel traffic environment, advanced communication interfaces will need to be developed that inform pedestrians of the (...) current state and future behavior of an autonomous vehicle, in order to maximize safety and efficiency for all road users. The aim of the present review is to provide a comprehensive account of empirical work in the field of external human–machine interfaces for autonomous vehicle-to- pedestrian communication. In the great majority of covered studies, participants clearly benefited from the presence of a communication interface when interacting with an autonomous vehicle. Nevertheless, standardized interface evaluation procedures and optimal interface specifications are still lacking. (shrink)

The present paper aims to validate our research on human–humanoid interaction (HHI) using the minimalist humanoid robot Telenoid. We conducted the human–robot interaction test with 142 young people who had no prior interaction experience with this robot. The main goal is the analysis of the two social dimensions (‘‘Perception’’ and ‘‘Believability’’) useful for increasing the natural behaviour between users and Telenoid.Weadministered our custom questionnaire to human subjects in association with a well defined experimental setting (‘‘ordinary and (...) goal-guided task’’). A thorough analysis of the questionnaires has been carried out and reliability and internal consistency in correlation between the multiple items has been calculated. Our experimental results show that the perceptual behaviour and believability, as implicit social competences, could improve the meaningfulness and the natural-like sense of human–humanoid interaction in everyday life task-driven activities. Telenoid is perceived as an autonomous cooperative agent for a shared environment by human beings. (shrink)

The hypergrowth and hyperconnectivity of networks of artificial intelligence (AI) systems and algorithms increasingly cause our interactions with the world, socially and environmentally, more technologically mediated. AI systems start interfering with our choices or making decisions on our behalf: what we see, what we buy, which contents or foods we consume, where we travel to, who we hire, etc. It is imperative to understand the dynamics of human-computer interaction in the age of progressively more competent AI. This essay presents (...) five premises to serve as starting points for building our understanding of the “interactions’ in human-computer interactions. (shrink)

This essay for the inaugural issue of Technology and Language discusses the problem of finding an optimal form of human-machine communication. In the ongoing search for an alien mind, humanity seems to find it not in the infinities of space, but in its own environment. Changes in the language of human-machine interaction made it understandable not only to trained specialists but to every household. In the course of time, home appliances and devices have developed their language abilities even more (...) and reached a very advanced level – by way of status indicators, displays, emergency sound and color signals. The transition to computer-assisted communication brought about a great diversity of human expression forms translated into the discrete digital language of technologies. According to some prognoses, the first human-robot marriage might be registered in the future, however, such a union is not the only possible human-machine alliance. (shrink)

We are quickly passing through the historical moment when people work in front of a single computer, dominated by a small CRT and focused on tasks involving only local information. Networked computers are becoming ubiquitous and are playing increasingly significant roles in our lives and in the basic infrastructure of science, business, and social interaction. For human-computer interaction o advance in the new millennium we need to better understand the emerging dynamic of interaction in which the (...) focus task is no longer confined to the desktop but reaches into a complex networked world of information and computer-mediated interactions. We think the theory of distributed cognition has a special role to play in understanding interactions between people and technologies, for its focus has always been on whole environments: what we really do in them and how we coordinate our activity in them. Distributed cognition provides a radical reorientation of how to think about designing and supporting human-computer interaction. As a theory it is specifically tailored to understanding interactions among people and technologies. In this article we propose distributed cognition as a new foundation for human-computer interaction, sketch an integrated research framework, and use selections from our earlier work to suggest how this framework can provide new opportunities in the design of digital work materials. (shrink)

In the chapter alarmist ideas that exponential development of technologies is an exceptional source of the crisis of modern civilization are considered and reasonably questioned. The role of tools in the establishment of human and technologies is underlined, including information and computative processes in the formation of the modern culture. The role of information processes in nature and culture is explored, which enables us to make a conclusion that technologies including artificial intelligence and intelligent robotics are a compile and an (...) integral part of a human being. The role of algorithms as a deep basis of crisis events due to the new opportunities of a dialogue between the machine and the human and the Transition of information without a cultural context in human-machine system is justified. Various ways to overcome crisis events whilst human transformation are offered. Firstly it is the augmentation of human possibilities with the help of exoprosthetic devices or exocortexes which broaden physical and cognitive capabilities. Secondly it is the transformation of technologies basing on deep social and humanitarian research which demand expert answers to vital questions of using the developing technologies. The use of technologies is analyzed from the position of postneoclassic rationality and in this framework an attempt is taken to use postturing methodology which was used before on the example of intellectual robitics. There is also shown an opportunity to broaden the sphere of using this postturing methodology in the other kinds of technology, because gradually the ingress of artificial intelligence into all the tools of human activity will make any tool "an intellectual robot". The use of postturing methodology will enable to break a fundamental barrier which divides a human and a machine which will make the interaction of human and machine more effective and less antagonistic. To the further discussion a theological ground of technogenic civilization as creating an opportunity for life to overcome biological barriers and watch the change of cosmic scale is brought. Such ground enables to save the main achievement of the mankind - the culture. (shrink)

Radical democratic thinking is becoming intrigued by the material situatedness of its political agents and by the role of nonhuman participants in political interaction. At stake here is the displacement of narrow anthropocentrism that currently guides democratic theory and practice, and its repositioning into what we call ‘the nonhuman condition’. This Critical Exchange explores the nonhuman condition. It asks: What are the implications of decentering the human subject via a new materialist reading of radical democracy? Does this reading dilute (...) political agency? Or should this be seen, on the contrary, as an invitation for new voices and demands to enter into democratic assemblages? How might engagement with the more-than-human disrupt or extend theories of radical democracy? Hans Asenbaum and Amanda Machin discuss the human democratic subject both through radical democratic and new materialist lenses. They suggest that a new materialist decentred subject does not lose agency but further gains political responsibility in radical democracy. Jean-Paul Gagnon highlights the possibility of becoming through loss. In losing our anthropocentric arrogance—our understanding of being other and better than animal—we become more connected and discover our place in human-nonhuman assemblages. Melissa Orlie agrees that something can be gained through renouncing dominant human fantasies and presents a ‘radical democratic naturalism’. By renouncing land violence and acknowledging nature’s subjectivity, we can further nonexploitative radical democratic politics. This is where the notion of ‘tidalectic’ processes introduced by James L. Smith is helpful. Focusing on water and the Indigenous knowledges around rivers, he considers how democracy and community can be reimagined as plural, cyclical and attentive to the nonhuman with which the human is inevitably entangled. Diana Leong offers a different approach. Considering the nonhuman from the perspective of Black Studies demands an awareness to how blackness has long been constituted as non- or partially human. (shrink)

We argue that the concept of practical wisdom is particularly useful for organizing, understanding, and improving human-machine interactions. We consider the relationship between philosophical analysis of wisdom and psychological research into the development of wisdom. We adopt a practical orientation that suggests a conceptual engineering approach is needed, where philosophical work involves refinement of the concept in response to contributions by engineers and behavioral scientists. The former are tasked with encoding as much wise design as possible into machines themselves, as (...) well as providing sandboxes or workspaces to help various stakeholders build practical wisdom in systems that are sufficiently realistic to aid transferring skills learned to real-world use. The latter are needed for the design of exercises and methods of evaluation within these workspaces, as well as ways of empirically assessing the transfer of wisdom from workspace to world. Systematic interaction between these three disciplines (and others) is the best approach to engineering wisdom for the machine age. (shrink)

Can we build machines with which we can have interesting conversations? Observing the new optimism of AI regarding deep learning and new language models, we set ourselves an ambitious goal: We want to find out how far we can get in creating a digital replica of a philosopher. This project has two aims; one more technical, investigating of how the best model can be built. The other one, more philosophical, explores the limits and risks which are accompanied by the creation (...) of digital replicas. In cooperation with Daniel Dennett, we took his complete works to fine-tune a GPT-3. In this paper, we share our first results with some piloting models and discuss legal and ethical questions about creating and interacting with digital replicas. (shrink)

We try to show that there is no difference in principle between communicating a piece of information to a human and to a machine. The argumentation depends on the following theses: Communicating is transfer of information; information has propositional form; propositional form can be modelled as categorization; categorisation can be modelled in a machine; a suitably equipped machine can grasp propositional content designed for human communication. What I suggest is that the discussion should focus on the truth and precise meaning (...) of these statements. However, in case these statements are true it follows that: For any act of communication that successfully transfers a piece of information to a human, that act could also transfer that piece of information to a machine. (shrink)

Cognitive science, is the science of the mind and examines cognition, in all its scope, as a mental-brain process. Cognitive social sciences are resulted from the encounter, interaction and integration of social and cognitive sciences, and are hoped to deepen our understandings and explanations of the social phenomena. This paper will discuss four views about what this integration is and how it takes place, namely explanatory grounding, theoretical unification, constraints, and complementarity. some people have preferred explanatory (...) grounding and constraints approach, and maintain that based on these approaches, social cognitive science will have a better and a clearer perspective. In spite of them, I prefer a complementarity approach, Based on which, cognitive social science can be seen as an extension and improvement of social science and cognitive science, not a product of an interdisciplinary approach, This preferred approach considers the subject of cognitive social science as a socio-cognitive issue. (shrink)

Nous proposons une étude de la constitution du sens dans l'interaction humain-machine à partir des définitions que donnent Turing et Wittgenstein à propos de la pensée, la compréhension, et de la décision. Nous voulons montrer par l'analyse comparative des proximités et différences conceptuelles entre les deux auteurs que le sens commun entre humains et machines se co-constitue dans et à partir de l'action, et que c'est précisément dans cette co-constitution que réside la valeur sociale de leur interaction. Il (...) s'agira pour cela de problématiser l'interaction humain-machine autour de la question de ce que signifie « suivre une règle » pour définir et distinguer les modes interprétatifs et les comportements décisionnels de chacun. Nous en viendrons alors au constat que la mutualisation des signes qui s'opère à travers le dialogue humain-machine est au fondement de la constitution d'une société informatisée. (shrink)

The rise of social media has created a new platform for communication and interaction, but it has also facilitated the spread of harmful behaviors such as cyberbullying. Detecting and mitigating cyberbullying on social media platforms is a critical challenge that requires advanced technological solutions. This paper presents a novel approach to cyberbullying detection using a combination of supervised machine learning (ML) and natural language processing (NLP) techniques, enhanced by optimization algorithms. The proposed system is designed to identify (...) and classify cyberbullying behavior in real-time, analyzing textual data from social media posts to detect harmful content. The model is trained on a large dataset of labeled instances of bullying and non-bullying content, using supervised ML algorithms such as Support Vector Machines (SVM), Decision Trees, and Random Forest. NLP techniques, including sentiment analysis, keyword extraction, and text vectorization, are employed to preprocess and transform the data into a format suitable for machine learning. T. (shrink)

The psychological contract refers to the implicit and subjective beliefs regarding a reciprocal exchange agreement, predominantly examined between employees and employers. While contemporary contract research is investigating a wider range of exchanges employees may hold, such as with team members and clients, it remains silent on a rapidly emerging form of workplace relationship: employees’ increasing engagement with technically, socially, and emotionally sophisticated forms of artificially intelligent (AI) technologies. In this paper we examine social robots (also termed humanoid robots) as (...) likely future psychological contract partners for human employees, given these entities transform notions of workplace technology from being a tool to being an active partner. We first overview the increasing role of robots in the workplace, particularly through the advent of sociable AI, and synthesize the literature on human–robot interaction. We then develop an account of a human-social robot psychological contract and zoom in on the implications of this exchange for the enactment of reciprocity. Given the future focused nature of our work we utilize a thought experiment, a commonly used form of conceptual and mental model reasoning, to expand on our theorizing. We then outline potential implications of human-social robot psychological contracts and offer a range of pathways for future research. (shrink)

A crucial philosophical problem of social robots is how much they perform a kind of sociality in interacting with humans. Scholarship diverges between those who sustain that humans and social robots cannot by default have social interactions and those who argue for the possibility of an asymmetric sociality. Against this dichotomy, we argue in this paper for a holistic approach called “Δ phenomenology” of HSRI. In the first part of the paper, we will analyse the semantics of (...) an HSRI. This is what leads a human being to assign or receive a meaning of sociality by interacting with a social robot. Hence, we will question the ontological structure underlying HSRIs, suggesting that HSRIs may lead to a peculiar kind of user alienation. By combining all these variables, we will formulate some final recommendations for an ethics of social robots. (shrink)

Humans often unconsciously perceive social robots involved in their lives as partners rather than mere tools, imbuing them with qualities of companionship. This anthropomorphization can lead to a spectrum of emotional risks, such as deception, disappointment, and reverse manipulation, that existing approaches struggle to address effectively. In this paper, we argue that a Virtual Interactive Environment (VIE) exists between humans and social robots, which plays a crucial role and demands necessary consideration and clarification in order to mitigate potential (...) emotional risks. By analyzing the relational nature of human-social robot interaction, we discuss the connotation of such a virtual interactive environment that is similar to the emotional states aroused when reading novels. Building on this comprehension, we further demonstrate that manufacturers should carry out comprehensive Virtual Interactive Environment Indication (VIEI) measures during human-social robot interaction with a stricter sense of responsibility when applying social robots. Finally, we contemplate the potential contributions of virtual interactive environment indication to existing robot ethics guidelines. (shrink)

In recent years, a number of philosophers and cognitive scientists have advocated for an ‘interactive turn’ in the methodology of social-cognition research: to become more ecologically valid, we must design experiments that are interactive, rather than merely observational. While the practical aim of improving ecological validity in the study of social cognition is laudable, we think that the notion of ‘interaction’ is not suitable for this task: as it is currently deployed in the social cognition literature, (...) this notion leads to serious conceptual and methodological confusion. In this paper, we tackle this confusion on three fronts: 1) we revise the ‘interactionist’ definition of interaction; 2) we demonstrate a number of potential methodological confounds that arise in interactive experimental designs; and 3) we show that ersatz interactivity works just as well as the real thing. We conclude that the notion of ‘interaction’, as it is currently being deployed in this literature, obscures an accurate understanding of human social cognition. (shrink)

Human nature has always been a foundational issue for philosophy. What does it mean to have a human nature? Is the concept the relic of a bygone age? What is the use of such a concept? What are the epistemic and ontological commitments people make when they use the concept? In What’s Left of Human Nature? Maria Kronfeldner offers a philosophical account of human nature that defends the concept against contemporary criticism. In particular, she takes on challenges related to (...) class='Hi'>social misuse of the concept that dehumanizes those regarded as lacking human nature (the dehumanization challenge); the conflict between Darwinian thinking and essentialist concepts of human nature (the Darwinian challenge); and the consensus that evolution, heredity, and ontogenetic development results from nurture and nature. After answering each of these challenges, Kronfeldner presents a revisionist account of human nature that minimizes dehumanization and does not fall back on outdated biological ideas. Her account is post-essentialist because it eliminates the concept of an essence of being human; pluralist in that it argues that there are different things in the world that correspond to three different post-essentialist concepts of human nature; and interactive because it understands nature and nurture as interacting at the developmental, epigenetic, and evolutionary levels. On the basis of this, she introduces a dialectical concept of an ever-changing and “looping” human nature. Finally, noting the essentially contested character of the concept and the ambiguity and redundancy of the terminology, she wonders if we should simply eliminate the term “human nature” altogether. (shrink)

The scientific understanding of the mind and consciousness is limited by the lack of knowledge on the missing pieces of this complex puzzle. However, the philosophy and the current physical and material sciences have made great strides in understanding the evolutionary processes of the mind, from the metaphysical and Meta universal layers to the physical, chemical, biological, psychological, and social layers. The complexity of the human mind and the subjective nature of consciousness make it difficult to define and study (...) empirically. Some scientists argue that self-consciousness is an emergent property of the brain, arising from the interaction of various cognitive processes such as memory, perception, and language. There is a significant debate on this line of research, with no clear consensus. Some experts believe that self-consciousness in AI is theoretically possible, as it could emerge from complex systems of neural networks and machine learning algorithms. However, others argue that self-consciousness requires a level of subjective experience and awareness that may be difficult or impossible to replicate in artificial systems. Researchers from various disciplines, including physics, chemistry, biology, brain science, psychology, linguistics, and computer science, have been working together to solve this mystery. The question that how far self-consciousness is possible to be answered in science depends on our understanding of what constitutes self-consciousness and how it arises. While AI systems have made significant advances in areas such as natural language processing, computer vision, and decision making, they still lack the capacity for subjective experience, introspection, and self-awareness that are commonly associated with self-consciousness. In this work the concept of self-consciousness, or the awareness of one's own existence and mental states, has been discussed from different angle. Despite significant advancements in cognitive science and neurobiology, the nature and origins of self-consciousness remain elusive. (shrink)

“Filter bubble”, “echo chambers”, “information diet” – the metaphors to describe today’s information dynamics on social media platforms are fairly diverse. People use them to describe the impact of the viral spread of fake, biased or purposeless content online, as witnessed during the recent race for the US presidency or the latest outbreak of the Ebola virus (in the latter case a tasteless racist meme was drowning out any meaningful content). This unravels the potential envisioned to arise from emergent (...) activities of human collectives on the World Wide Web, as exemplified by the Arab Spring mass movements or digital disaster response supported by the Ushahidi tool suite. (shrink)

Is it sensical to ascribe psychological predicates to AI systems like chatbots based on large language models (LLMs)? People have intuitively started ascribing emotions or consciousness to social AI (‘affective artificial agents’), with consequences that range from love to suicide. The philosophical question of whether such ascriptions are warranted is thus very relevant. This paper advances the argument that LLMs instantiate language users in Ludwig Wittgenstein’s sense but that ascribing psychological predicates to these systems remains a functionalist temptation. (...) class='Hi'>Social AIs are not full-blown language users, but rather more like Italo Calvino’s literature machines. The ideas of LLMs as Wittgensteinian language users and Calvino’s literature-producing writing machine are combined. This sheds light on the misguided functionalist temptation inherent in moving from equating the two to the ascription of psychological predicates to social AI. Finally, the framework of mortal computation is used to show that social AIs lack the basic autopoiesis needed for narrative façons de parler and their role in the sensemaking of human (inter)action. Such psychological predicate ascriptions could make sense: the transition ‘from quantity to quality’ can take place, but its route lies somewhere between life and death, not between affective artifacts and emotion approximation by literature machines. (shrink)

This paper proposes three principles for the ethical design of online social environments aiming to minimise the unintended harms caused by users while interacting online, specifically by enhancing the users’ awareness of the moral load of their interactions. Such principles would need to account for the strong mediation of the digital environment and the particular nature of user interactions: disembodied, asynchronous, and ambiguous intent about the target audience. I argue that, by contrast to face to face interactions, additional factors (...) make it more difficult for users to exercise moral sensitivity in an online environment. An ethics for social media user interactions is ultimately an ethics of human relations mediated by a particular environment; hence I look towards an enactive inspired ethics in formulating principles for human interactions online to enhance or at least do not hinder a user’s moral sensitivity. This enactive take on social media ethics supplements classical moral frameworks by asking us to focus on the relations established through the interactions and the environment created by those interactions. (shrink)

In this chapter, we explore a tension between the mindshaping hypothesis and commonsense Western ideas about moral agency and its relation to the social world. To illustrate this tension, we focus on the phenomenon of virtue signaling. We argue that moral intuitions about the perniciousness of virtue signaling reflect an individualistic conception of agency that we call the inside-out ideal. We argue that this ideal fits poorly with the deeply social, interactive, and regulative portrait of human nature revealed (...) by the mindshaping hypothesis. As an alternative to the inside-out ideal, we advocate for a more outside-in conception of agency. We argue that recent work on self control fits with such a conception, and show how it provides the virtue signaler with a path towards genuine moral growth that is scaffolded by mindshaping dynamics connected to reputational incentives and communal support, and should be accepted as perfectly morally legitimate. (shrink)

Today, in any mature information society, we live neither online nor offline but on life, that is, we increasingly live in that special space that is both analogue and digital, both online and offline. Imagine someone asking whether the water is fresh or salty in the estuary where the river meets the sea. That someone has not understood the special nature of the place. Our information society is that place. And our technologies are perfectly evolved to take advantage of it, (...) like mangroves growing in brackish water. In the mangrove society, machine-readable data, new forms of agency and interactions are constantly evolving. The consequences of such a radical transformation are many, but one is particularly significant and rich in consequences: how should we design the mangrove society, when it comes to the relationship between the natural and the digital? In this text, I argue that the digital blue is a great ally of the environmental green. The two work best in tandem. And if the world will enjoy a sustainable development for the environment that is also socially preferable for humanity, it will be because the green and the blue will have created a virtuous circle of nature and technology. It can be done. There is just no time to waste. (shrink)

In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between the design and operation of algorithms and our understanding of their ethical implications can have severe (...) consequences affecting individuals as well as groups and whole societies. This paper makes three contributions to clarify the ethical importance of algorithmic mediation. It provides a prescriptive map to organise the debate. It reviews the current discussion of ethical aspects of algorithms. And it assesses the available literature in order to identify areas requiring further work to develop the ethics of algorithms. (shrink)

Music and language are universal human abilities with many apparent similarities relating to their acoustics, structure, and frequent use in social situations. We might therefore expect them to be understood and processed similarly, and indeed an emerging body of research suggests that this is the case. But the focus has historically been on the individual, looking at the passive listener or the isolated speaker or performer, even though social interaction is the primary site of use for both (...) domains. Nonetheless, an important goal of emerging research is to compare music and language in terms of acoustics and structure, social interaction, and functional origins to develop parallel accounts across the two domains. Indeed, a central aim of both of evolutionary musicology and language evolution research is to understand the adaptive significance or functional origin of human music and language. An influential proposal to emerge in recent years has been referred to as the social bonding hypothesis. Here, within a comparative approach to animal communication systems, I review empirical studies in support of the social bonding hypothesis in humans, non-human primates, songbirds, and various other mammals. In support of this hypothesis, I review six research fields: (i) the functional origins of music; (ii) the functional origins of language; (iii) mechanisms of social synchrony for human social bonding; (iv) language and social bonding in humans; (v) music and social bonding in humans; and (vi) pitch, tone and emotional expression in human speech and music. I conclude that the comparative study of complex vocalizations and behaviors in various extant species can provide important insights into the adaptive function(s) of these traits in these species, as well as offer evidence-based speculations for the existence of “musilanguage” in our primate ancestors, and thus inform our understanding of the biology and evolution of human music and language. (shrink)