Systems with human-centered artificial intelligence are always as good as their ability to consider their users’ context when making decisions. Research on identifying people’s everyday activities has evolved rapidly, but little attention has been paid to recognizing both the activities themselves and the motions they make during those tasks. Automated monitoring, human-to-computer interaction, and sports analysis all benefit from Web 4.0. Every sport has gotten its move, and every move is not known to everyone. In ice hockey, (...) every move cannot be monitored by the referee. Here, Convolution Neural Network-based Real-Time Image Processing Framework (CNN-RTIPF) is introduced to classify every move in Ice Hockey. CNN-RTIPF can reduce the challenges in monitoring the player’s move individually. The image of every move is captured and compared with the trained data in CNN. These real-time captured images are processed using a human-centered artificial intelligence system. They compared images predicted by probability calculation of the trained set of images for effective classification. Simulation analysis shows that the proposed CNN-RTIPF can classify real-time images with improved classification ratio, sensitivity, and error rate. The proposed CNN-RTIPF has been validated based on the optimization parameter for reliability. To improve the algorithm for movement identification and train the system for many other everyday activities, human-centered artificial intelligence-based Web 4.0 will continue to develop. (shrink)

As algorithms pervade numerous facets of daily life, they are incorporated into systems for increasingly diverse purposes. These systems’ results are often interpreted differently by the designers who created them than by the lay persons who interact with them. This paper offers a proposal for human-centered algorithm design, which incorporates human and social interpretations into the design process for algorithmically based systems. It articulates three specific strategies for doing so: theoretical, participatory, and speculative. Drawing on the author’s (...) work designing and deploying multiple related systems, the paper provides a detailed example of using a theoretical approach. It also discusses findings pertinent to participatory and speculative design approaches. The paper addresses both strengths and challenges for each strategy in helping to center the process of designing algorithmically based systems around humans. (shrink)

At issue is the usefulness of a concept of distributed cognition for the philosophy of science. I have argued for the desirability of regarding scientific systems such as the Hubble Space Telescope as distributed cognitive systems. But I disagree with those who would ascribe cognitive states, such as knowledge, to such systems as a whole, and insist that cognitive states are ascribable only to the human components of such systems. Vaesen, appealing to a well-known ?parity principle,? insists that if (...) there is a distributed cognitive system, it must have cognitive states. Otherwise, we are left with only the cognitive states of individual humans who are then not part of a distributed cognitive system. I argue that Vaesen has misinterpreted the parity principle, which, in any case, I reject, and go on to argue for an understanding of scientific cognition as human centered even though not human bound. (shrink)

While agreeing that cognition in the sciences is usefully thought of as involving processes encompassing both humans and artifacts, I object to attributing cognitive states to extended systems. I argue that cognitive states, such as ?knowing?, should be confined to the human components of cognitive systems. My argument appeals to the large dimensions, both spatial and temporal, of many scientific cognitive systems, the existence of epistemic norms, and the need for agents in science.

Internet of thing building sensors can capture several types of building operations, performances, and conditions and send them to a central dashboard to analyze data to support decision-making. Traditionally, laptops and cell phones are the majority of Internet-connected devices. IoT tracking allows customers to close the distance between devices and enterprises by collecting and analyzing various IoT data through connected devices, customers, and applications on the network. There is a lack of requirements for IoT edge applications security and approval. There (...) are no best practices regarding operations focused on IoT incidents. IoT elements are not covered by audit and logging requirements. In this article, a big data analytics-based customer operation system analyzes the operation. With the exponential rise in data usage, the explosive development in the IoT devices reflects the ideal overlap of big data growth with IoT. Big data analytics continuously evolving network raises trivial questions about the performance, distribution of data, analysis, and protection of data collection. IoT modifies almost all the construction industry characteristics. Human-centered artificial intelligence is described as systems that always improve because of human input while also delivering an effective experience between the human and the robotic. The IoT is the key factor that ensures greater building performance. It was the first evolution of technology in a long time to turn genuine inventions into an industry that depended heavily on paper and manual processes. The benefits of the IoT in construction are now quite obviously much heavier than those of current manual processes. As a result, more construction companies explore and incorporate IoT strategies to address their productivity challenges, increasing efficiencies and profits. The simulation analysis shows that the proposed BDA-CO model enhances the trust score of 98.5%, accuracy detection ratio of 93.4%, probability ratio of 97.6%, and security ratio of 98.7% and reduces the false negative ratio of 21.3%, response time of 10.5%, delay rate of 19.9%, and packet loss ratio of 15.4% when compared to other existing techniques. (shrink)

Naturalistic thinking and knowing, the tacit, experiential, and intuitive reasoning of everyday interaction, have long been regarded as inferior to formal reason and labeled primitive, fallible, subjective, superstitious, and in some cases ineffable. But, naturalistic thinking is more rational and definable than it appears. It is also relevant to design. Inquiry into the mechanisms of naturalistic thinking and knowledge can bring its resources into focus and enable designers to create better, human-centered designs for use in real-world settings. This (...) article makes a case for the explicit, formal study of implicit, naturalistic thinking within the fields of design. It develops a framework for defining and studying naturalistic thinking and knowledge, for integrating them into design research and practice, and for developing a more integrated, consistent theory of knowledge in design. It will (a) outline historical definitions of knowledge, attitudes toward formal and naturalistic thinking, and the difficulties presented by the co-presence of formal and naturalistic thinking in design, (b) define and contrast formal and naturalistic thinking as two distinct human cognitive systems, (c) demonstrate the importance of naturalistic cognition in formal thinking and real-world judgment, (d) demonstrate methods for researching naturalistic thinking that can be of use in design, and (e) briefly discuss the impact on design theory of admitting naturalistic thinking as valid, systematic, and knowable. (shrink)

When Lisanne Bainbridge wrote about counterintuitive consequences of the increasing human–machine interaction, she concentrated on the resulting issues for system performance, stability, and safety. Now, decades later, however, the automized work environment is substantially more pervasive, sophisticated, and interactive. Current advances in machine learning technologies reshape the value, meaning, and future of the human workforce. While the ‘human factor’ still challenges automation system architects, inconspicuously new ironic settings have evolved that only become distinctly evident from (...) a human-centered perspective. This brief essay discusses the role of the human workforce in human–machine interaction as machine learning continues to improve, and it points to the counterintuitive insight that although the demand for blue-collar workers may decrease, exactly this labor class increasingly enters more privileged working domains and establishes itself henceforth as ‘blue collar with tie.’. (shrink)

The Centered Mind offers a new view of the nature and causal determinants of both reflective thinking and, more generally, the stream of consciousness. Peter Carruthers argues that conscious thought is always sensory-based, relying on the resources of the working-memory system. This system enables sensory images to be sustained and manipulated through attentional signals directed at midlevel sensory areas of the brain. When abstract conceptual representations are bound into these images, we consciously experience ourselves as making judgments (...) or arriving at decisions. However, our amodal propositional attitudes are never actually among the contents of this stream of conscious reflection. Our beliefs, goals, and decisions are only ever active in the background of consciousness, working behind the scenes. They are never themselves conscious.Drawing on extensive knowledge of the scientific literature on working memory and related topics, Carruthers challenges the central assumptions of many philosophers. In addition to arguing that non-sensory propositional attitudes are never conscious, he also shows that they are never under direct intentional control. Written with his usual clarity and directness, The Centered Mind will be essential reading for all philosophers and cognitive scientists interested in the nature of human thought processes. (shrink)

Currently there is a clear trend towards questioning the traditional sovereign human self which for two hundred years has had an undisputed central status within European culture and philosophy. This challenges the tradition of anthropocentrism which in a Scandinavian computer science context has had two theoretical foundations: the workoriented design theory represented by the Scandinavian participatory design philosophy, and the idea of the computer to a rather passive medium for human communication. The process, reducing the computer to a (...) rather passive medium for human communication. The paper firstly examines these two theoretical anthropocentric positions. Secondly it outlines the trend towards challenging the status of the human self within different research contexts. This trend represents a challenge for Human-centred systems design. Finally, it discusses the new demands for conceptualising basic IT research phenomena created by this development, with particular focus on the issue of human-centredness as a systems design strategy. (shrink)

In the future, human destiny may depend on our ethics. In particular, biotechnology and expansion in space can transform life, raising profound questions. Guidance may be found in Life-centered ethics, as biotic ethics that value the basic patterns of organic gene/protein life, and as panbiotic ethics that always seek to expand life. These life-centered principles can be based on scientific insights into the unique place of life in nature, and the biological unity of all life. Belonging to (...) life then implies a human purpose: to safeguard and propagate life. Expansion in space will advance this purpose but will also raise basic questions. Should we expand all life or only intelligent life? Should we aim to create populations of trillions? Should we seed other solar systems? How far can we change but still preserve the human species, and life itself? The future of all life may be in our hands, and it can depend on our guiding ethics whether life will fulfil its full potentials. Given such profound powers, life-centered ethics can best secure future generations. Our descendants may then understand nature more deeply, and seek to extend life indefinitely. In that future, our human existence can find a cosmic purpose. (shrink)

To address the tension between demands for more transparent AI systems and the aim to develop and design robots with apparent agency for smooth and intuitive human-robot interaction (HRI), we present in this paper an argument for why explainability in HRI would benefit from being question-centered. First, we review how explainability has been discussed in AI and HRI respectively, to then present the challenge in HRI to accommodate the requirement of transparency while also keeping up the appearance of (...) the robot as a social agent. Based on the conceptualization of questions as information-seeking acts, our proposal for a question-centered approach to explainable HRI (xHRI) implies that to ensure transparency, robots shall provide explanations upon request in the form of questioning. We end this paper by laying out a preliminary taxonomy of xHRI-relevant questions that present the kinds of explanations a robot can or should be able to provide for successful and transparent HRI. (shrink)

The requirement for anthropocentric, or human-centred decision support is outlined, and the IDIOMS management information tool, which implements several human-centred principles, is described. IDIOMS provides a flexible decision support environment in which applications can be modelled using both ‘objective’ database information, and user-centred ‘subjective’ and contextual information. The system has been tested on several real applications, demonstrating its power and flexibility.

In this paper we use a critically reflective research approach to analyze our efforts at transformative learning in food systems education in a land grant university. As a team of learners across the educational hierarchy, we apply scholarly tools to the teaching process and learning outcomes of student-centered inquiries in a food systems course. The course, an interdisciplinary, lower division undergraduate course at the University of California, Davis is part of a new undergraduate major in Sustainable Agriculture and Food (...) Systems. We provide an overview of the course’s core elements—labs, exams, assignments, and lectures—as they relate to social constructivist learning theory and student-centered inquiries. Then, through qualitative analysis of students’ reflective essays about their learning experiences in the course, we demonstrate important transformative outcomes of student-centered inquiries: (1) most students confronted the commodity fetish and tried to reconcile tensions between what the food system is and ought to be, and (2) students repositioned themselves, their thinking, and social deliberation in relation to the food system. Students’ reflections point to the power of learning that emerges through their inquiry process, including in the field, and from critical self-reflection. We also highlight the importance of reflective essays in both reinforcing experiential learning and in helping instructors to better understand students’ learning vis-à-vis our teaching. (shrink)

In this article we explore the possibility of viewing complex systems, as well as the models we create of such systems, as operating within a particular type of economy. The type of economy we aim to establish here is inspired by Jacques Derrida’s reading of George Bataille’s notion of a general economy. We restrict our discussion to the philosophical use of the word ‘economy’. This reading tries to overcome the idea of an economy as restricted to a single logos or (...) master narrative. At the same time, however, Derrida illustrates that we always operate from a restricted framework and as such something will always escape and interrupt our understanding of the world. In this paper we will propose that one could use Derrida’s reading of Bataille, along with notions such as différance, in order to move towards an understanding of complex systems as existing within certain sets of possibilities and constraints. We argue that this view of an economy agrees with the work of Edgar Morin on complexity and his conceptualization of general complexity. (shrink)

Advanced AI systems are rapidly making their way into medical research and practice, and, arguably, it is only a matter of time before they will surpass human practitioners in terms of accuracy, reliability, and knowledge. If this is true, practitioners will have a prima facie epistemic and professional obligation to align their medical verdicts with those of advanced AI systems. However, in light of their complexity, these AI systems will often function as black boxes: the details of their contents, (...) calculations, and procedures cannot be meaningfully understood by human practitioners. When AI systems reach this level of complexity, we can also speak of black-box medicine. In this paper, we want to argue that black-box medicine conflicts with core ideals of patient-centered medicine. In particular, we claim, black-box medicine is not conducive for supporting informed decision-making based on shared information, shared deliberation, and shared mind between practitioner and patient. (shrink)

Falk's hominin mother-infant model presupposes an emerging infant capacity to perceive and learn from afforded gestures and vocalizations. Unlike back-riding offspring of other primates, who were in no need to decenter their own body-centered perspective, a mirror neurons system may have been adapted in hominin infants to subserve the kind of (m)other-centered mirroring we now see manifested by human infants soon after birth.

This paper explores the possibility for a means of bringing about novelty which does not rely on kairological philosophies based on an event. In contrast to both common sense and contemporary philosophical understandings of the term where for novelty to arise there must be some break in the repetition of the structure, this paper argues that it is possible for novelty to come about through small-scale experimentation. This is done by relying on the philosophical notion of ‘economy’ in order to (...) understand how we think about the world. In this regard, our thinking about the world depends upon acknowledging certain possibilities at the expense of others. History can then be seen as the distribution of emphasis which allows for these past possibilities and the future potentiality they may hold. Novelty, defined here as a rereading of history, is precisely the disruption of these possibilities and a challenge to the memory of the system. The conclusion to this paper argues that experimentation is an important means by which we can bring novelty into the world. (shrink)

This paper concerns the double standard debate in the ethics of AI literature. This debate essentially revolves around the question of whether we should subject AI systems to different normative standards than humans. So far, the debate has centered around the desideratum of transparency. That is, the debate has focused on whether AI systems must be more transparent than humans in their decision-making processes in order for it to be morally permissible to use such systems. Some have argued that (...) the same standards of transparency should be applied across the board, for AI systems and humans alike. Others have argued that we should hold AI systems to higher standards than humans in terms of transparency. In this paper, we first point out that there are structurally similar double standard debates to be had about other desiderata besides transparency, such as predictive accuracy. Second, we argue that when we focus on predictive accuracy, there are at least two reasons for holding AI systems to a lower standard than humans. (shrink)

In this paper we argue for the contribution that deconstruction can make towards an understanding of complex systems. We begin with a description of what we mean by complexity and how Derrida’s thought illustrates a sensitivity towards the problems we face when dealing with complex systems. This is especially clear in Derrida’s deconstruction of the structuralist linguistics of Ferdinand de Saussure. We compare this critique with the work of Edgar Morin, one of the foremost thinkers of contemporary complexity and argue (...) for the possible contributions that both thinkers provide towards an understanding of complex phenomena in the world. We then move on to illustrate the particular economy of thinking we are forced to engage with when dealing with complex systems. This economy is inspired by Derrida’s deconstruction of Bataille’s general economy. This economy illustrates the fundamental nature of critique in the process of dealing with complex systems, the third concept we explore in this paper. The process of critique illustrates the necessity for both cutting apart and weaving together of economies in order to maintain the possibility for divergent ways of being in the world. We conclude with the ethical implications of dealing with complex systems and some first steps towards an ‘ethics of complexity’. (shrink)

In this paper, we examine the meta-ontology of AI systems with human-level intelligence, with us denoting such AI systems as AI E. Meta-ontology in philosophy is a discourse centered on ontology, ontological commitment, and the truth condition of ontological theories. We therefore discuss how meta-ontology is conceptualized for AI E systems. We posit that the meta-ontology of AI E systems is not concerned with computational representations of reality in the form of structures, data constructs, or computational concepts, while (...) the ontological commitment of AI E systems is directed toward what exists in the outside world. Furthermore, the truth condition of the ontology (which is meta-ontological assumption) of AI E systems does not require consistency with closed conceptual schema or ontological theories but rather with reality, or in other words, “what is the world” (Smith, 2019, p.57). In addition, the truth condition of AI E systems is verified through operational success rather than by coherence with theories. This work builds on ontological postulates about AI systems that were formulated by Brian Cantwell Smith (2019). (shrink)

Human Specialization in Design and Technology explores emerging trends in learning and training-standardization, customization, personalization-with a unique focus on human needs and conditions. Analyzing evidence from current academic research as well as the popular press, this concise volume defines and examines the trajectory of instructional design and technologies toward more human-centered and specialized products, services, processes, environments, and systems. Examples from education, healthcare, business, and other sectors offer real-world demonstrations for scholars and graduate students of educational (...) technology, instructional design, ICT, and business development. (shrink)

Recent developments in Continental philosophy have included the emergence of a school of “speculative realism,” which rejects the human-centered orientation that has long dominated Continental thought. Proponents of speculative realism differ on several issues, but many agree on the need for an object-oriented ontology. Some speculative realists identify realism with materialism, while others accord equal reality to objects that are non-material, even fictional. Several thinkers retain a focus on difference, a well-established theme in Continental thought. This paper looks (...) at speculative realism from the perspective of systems theory. Many of the tenets of speculative realism have long been features of systems metaphysics and are expressed clearly in a systems framework. However, some views of some speculative realists differ substantially from systems theoretic ideas. (shrink)

The frontal feedback model argues that the sudden appearance of art and advancing technologies around 40,000 years ago in the hominid archaeological record was the end result of a recent fundamental change in the functional properties of the hominid brain, which occurred late in that brain's evolution. This change was marked by the switching of the driving mechanism behind the global, dynamic function of the brain from an "object-centered" bias, reflective of nonhuman primate and early hominid brains, to a (...) "self-centered" bias, reflective of modern Homo sapiens and perhaps late Homo erectus brains. Such a change in the global-functional properties of the brain was provided for by the progressive enlargement of the primate frontal lobe throughout its evolution. In late-developing hominids, this progressive enlargement effectively succeeded in reversing the preferred direction of information flow in the highest association areas of the neocortex from a caudo-rostral bias to a rostro-caudal bias. It was this reversal specifically that provided for the ability of humans to use symbolic thought in the creative expression of art, language, and the development of advancing technologies. Part 2 discusses the specific changes in the brain that occurred as a result of the reversal and how those changes were and are manifested as human abilities and experience. (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)

In Agent-Centered Morality, George W. Harris constructs a broadly Aristotelian conception of morality and argues for its superiority over Kantian conceptions. Harris approaches morality through human practical reason. He is committed to articulating a plausible account of how human beings think, value, and choose based on their conceptions of their own good. Harris’s ethics is “agent-centered” in that it takes moral obligations to be grounded in what makes life meaningful from the agent’s point of view. The (...) ethical system that emerges from Harris’s approach rejects the impartiality, universality, and overriding rationality that Enlightenment philosophers attributed to morality. (shrink)

Precision medicine and molecular systems medicine (MSM) are highly utilized and successful approaches to improve understanding, diagnosis, and treatment of many diseases from bench-to-bedside. Especially in the COVID-19 pandemic, molecular techniques and biotechnological innovation have proven to be of utmost importance for rapid developments in disease diagnostics and treatment, including DNA and RNA sequencing technology, treatment with drugs and natural products and vaccine development. The COVID-19 crisis, however, has also demonstrated the need for systemic thinking and transdisciplinarity and the limits (...) of MSM: the neglect of the bio-psycho-social systemic nature of humans and their context as the object of individual therapeutic and population-oriented interventions. COVID-19 illustrates how a medical problem requires a transdisciplinary approach in epidemiology, pathology, internal medicine, public health, environmental medicine, and socio-economic modeling. Regarding the need for conceptual integration of these different kinds of knowledge we suggest the application of general system theory (GST). This approach endorses an organism-centered view on health and disease, which according to Ludwig von Bertalanffy who was the founder of GST, we call Organismal Systems Medicine (OSM). We argue that systems science offers wider applications in the field of pathology and can contribute to an integrative systems medicine by (i) integration of evidence across functional and structural differentially scaled subsystems, (ii) conceptualization of complex multilevel systems, and (iii) suggesting mechanisms and non-linear relationships underlying the observed phenomena. We underline these points with a proposal on multi-level systems pathology including neurophysiology, endocrinology, immune system, genetics, and general metabolism. An integration of these areas is necessary to understand excess mortality rates and polypharmacological treatments. In the pandemic era this multi-level systems pathology is most important to assess potential vaccines, their effectiveness, short-, and long-time adverse effects. We further argue that these conceptual frameworks are not only valid in the COVID-19 era but also important to be integrated in a medicinal curriculum. (shrink)

The successes of the Human Genome Project have ushered in a new era of genomic science. To effectively translate these discoveries, it will be critical to improve the communication of genetic risk within families. This will require a systematic approach that accounts for the nature of family relationships and sociocultural beliefs. This paper proposes the application of the Family Systems Illness Model, used in the setting of cancer care, to the evolving field of genomics.

This paper discusses the relation between the human security paradigm and the cosmopolitan democracy scenario as models for humanizing and changing the current international system and transforming it in a global security and development system centered on the individual rather than on the nation state. The main idea for which I argue is that the human security paradigm and the changes it determined in international relations (especially through the responsibility to protect principle) are compatible with (...) the cosmopolitan democracy scenario for changing and transforming the current international system. (shrink)

It is argued that “human-centredness” will be an important characteristic of systems that learn tasks from human users, as the difficulties in inductive inference rule out learning without human assistance. The aim of “programming by example” is to create systems that learn how to perform tasks from their human users by being shown examples of what is to be done. Just as the user creates a learning environment for the system, so the system provides (...) a teaching opportunity for the user, and emphasis is placed as much on facilitating successful teaching as on incorporating techniques of machine learning. If systems can “learn” repetitive tasks, their users will have the power to decide for themselves which parts of their jobs should be automated, and teach the system how to do them — reducing their dependence on intermediaries such as system designers and programmers.This paper presents principles for programming by example derived from experience in creating four prototype learners: for technical drawing, text editing, office tasks, and robot assembly. A teaching metaphor (a) enables the user to demonstrate a task by performing it manually, (b) helps to explain the learner's limited capabilities in terms of a persona, and (c) allows users to attribute intentionality. Tasks are represented procedurally, and augmented with constraints. Suitable mechanisms for attention focusing are necessary in order to control inductive search. Hidden features of a task should be made explicit so that the learner need not embark on the huge search entailed by hypothesizing missing steps. (shrink)

Introduction: The humanities enrich and transform the practice of medicine. What remains to be seen, however, is how best to integrate humanities into the medical curriculum to optimize both educational and patient-related outcomes. The present study considers the structure of an innovative student-driven humanities curriculum and seeks to understand its strengths and limitations, as well as make recommendations for improvement. Methods: The Penn State College of Medicine, University Park Regional Campus uses an inquiry-based approach to education, whereby students are responsible (...) for creating learning objectives in four core pillars of exploration: Foundational Science, Clinical Science, Health Systems Science, and Health Humanities. This study explores student-derived humanities learning objectives (HLO) across four years of the curriculum. Results: 420 HLOs met criteria for analysis and were coded as instrumental (developing direct clinical skill), non-instrumental (non-skill based), or both. Of these, 125 (30%) were instrumental, 239 (57%) were non-instrumental, and 56 (13%) were coded as both. Most instrumental HLO centered around communication skills. Non-instrumental HLO most commonly focused on bearing witness and critiquing a particular experience within a social and/or political context. Conclusions: Findings from this study contribute to the development of a humanities curriculum in a student-directed learning program. Non-instrumental HLO lacked a theoretical framework to guide student’s investigations to a deeper level of analysis. Student-directed learning offers many strengths, but can be enhanced through external direction from humanities trained faculty, particularly given that many medical students have a limited humanities background. (shrink)

As we build increasingly intelligent machines, we confront difficult questions about how to specify their objectives. One approach, which we call human-centered, tasks the machine with the objective of learning and satisfying human objectives by observing our behavior. This paper considers how human-centered AI should conceive the humans it is trying to help. We argue that an Aristotelian model of human agency has certain advantages over the currently dominant theory drawn from economics.

The human self model comprises essential features such as the experiences of ownership, of body-centered spatial perspectivity, and of a long-term unity of beliefs and attitudes. In the pathophysiology of schizophrenia, it is suggested that clinical subsyndromes like cognitive disorganization and derealization syndromes reflect disorders of this self model. These features are neurobiologically instantiated as an episodically active complex neural activation pattern and can be mapped to the brain, given adequate operationalizations of self model features. In its unique (...) capability of integrating external and internal data, the prefrontal cortex (PFC) appears to be an essential component of the neuronal implementation of the self model. With close connections to other unimodal association cortices and to the limbic system, the PFC provides an internally represented world model and internal milieu data of the organism, both serving world orientation. In the pathophysiology of schizophrenia, it is the dysfunction of the PFC that is suggested to be the neural correlate for the different clinical schizophrenic subsyndromes. The pathophysiological study of psychiatric disorders may contribute to the theoretical debate on the neuronal basis of the self model. (shrink)

If we are to develop efficient, reliable and secure means for sharing information across healthcare systems and organizations, then a careful analysis of human actions will be needed. To address this need, the HL7 organization has proposed its Reference Information Model (RIM), which is designed to provide a comprehensive representation of the entire domain of healthcare centered around the phenomenon of human action. Taking the Basic Formal Ontology as our starting point, we examine the RIM from an (...) ontological point of view, describing how it fails to provide a representation of the healthcare domain which would enjoy the sort of clarity, coherence, rigor and completeness that is claimed on its behalf. (shrink)

This paper investigates the nature of dispositional properties in the context of artificial intelligence systems. We start by examining the distinctive features of natural dispositions according to criteria introduced by McGeer (2018) for distinguishing between object-centered dispositions (i.e., properties like ‘fragility’) and agent-based abilities, including both ‘habits’ and ‘skills’ (a.k.a. ‘intelligent capacities’, Ryle 1949). We then explore to what extent the distinction applies to artificial dispositions in the context of two very different kinds of artificial systems, one based on (...) rule-based classical logic and the other on reinforcement learning. Here we defend three substantive claims. First, we argue that artificial systems are not equal in the kinds of dispositional properties they instantiate. In particular, we show that logical systems instantiate merely object-centered dispositions whereas reinforcement learning systems allow for the instantiation of agent-based abilities. Second, we explore the similarities and differences between the agent-centered abilities of artificial systems and those of humans, especially as relates to the important distinction made in the human case between habits and skills/intelligent capacities. The upshot is that the agent-centered abilities of truly intelligent artificial systems are distinctive enough to constitute a third type of agent-based ability — blended agent-based ability — raising substantial questions as to how we understand the nature of their agency. Third, we explore one aspect of this problem, focussing on whether systems of this type are properly considered ‘responsible agents’, at least in some contexts and for some purposes. The ramifications of our analysis will turn out to be directly relevant to various ethical concerns of artificial intelligence. (shrink)

Current usage of the expression “human-centred” in computing contexts suffers from a lack of clarity, and involves internal contradictions. It is not enough to base the concept of human-centredness on ideas of social utility, collaborative working or human controllability. However, the concept of human action (which embodies reference to human freedom) provides a theoretical underpinning to human-centredness by combining, from a human standpoint, concern with process and concern with goals. This has consequences for (...) the design process, prompting us to include new concerns in our system specifications and providing some pointers towards human-centred design methodology. (shrink)

This paper will describe a participatory design process by which individuals from many levels of hierarchy and diverse technical background envisioned and then determined the design criteria for the software system to support the delivery of high quality nursing services.

Nowadays, social media analysis systems are feeding on user contributed data, either for beneficial purposes, such as emergency management, or for user profiling and mass surveillance. Here, we carry out a discussion about the power and pitfalls of public accessibility to social media-based systems, with specific regards to the emergency management application EARS. We investigate whether opening such systems to the population at large would further strengthen the link between communities of volunteer citizens, intelligent systems, and decision makers, thus going (...) in the direction of developing more sustainable and resilient societies. Our analysis highlights fundamental challenges and provides interesting insights into a number of research directions with the aim of developing human-centered social media-based systems. (shrink)

Smart Cities consist of a multitude of interconnected devices and services to, among others, enhance efficiency, comfort, and safety. To achieve these aims, smart cities rely on an interplay of measures including the deployment of interventions targeted to foster certain human behaviors, such as saving energy, or collecting and exchanging sensor and user data. Both aspects have ethical implications, e.g., when it comes to intervention design or the handling of privacy-related data such as personal information, user preferences or geolocations. (...) Resulting concerns must be taken seriously, as they reduce user acceptance and can even lead to the abolition of otherwise promising Smart City projects. Established guidelines for ethical research and practice from the psychological sciences provide a useful framework for the kinds of ethical issues raised when designing human-centered interventions or dealing with user-generated data. This article thus reviews relevant psychological guidelines and discusses their applicability to the Smart City context. A special focus is on the guidelines’ implications and resulting challenges for certain Smart City applications. Additionally, potential gaps in current guidelines and the limits of applicability are reflected upon. (shrink)

Context: A central motivation behind various embodied, extended, and enactive (4E) approaches to cognition is to ground our understanding of minds and cognition within the biological structures that give rise to life. Because of this, their advocates often claim a natural kinship with dynamical and developmental systems theories. However, these accounts also explicitly or implicitly privilege individual organisms in ways that contrast with many of the insights of systems and developmental systems approaches to biology. Problem: The prioritization of individual organisms (...) within 4E approaches to cognition contrasts with the default entangled structure of biological systems associated with cognitive agency. We provide means for 4E cognitive science to move beyond an individual-centred view of cognitive agency. Method: We first identify and problematize individual-centredness within various predominant 4E approaches by comparison with biological research and developmental systems theory. Subsequently, we offer conceptual resources from the field of ecological research for understanding cognitive agency beyond the predominant focus on individual organisms. Results: Cognitive agency may be understood without privileging individual organisms by reading nonequilibrium maintenance in terms of a dynamic differentiation instead of individual organismic autonomy. This form of organizational structure corresponds to the notion of sympoiesis from ecological research. Implications: Approaching cognitive agency without privileging individual organisms should be invaluable to advocates of 4E cognition seeking to ground notions of cognition and mind within contemporary biological research. Constructivist content: We seek to expand upon existing constructivist perspectives on the organizing principles of cognitive agency, such as sensorimotor embodiment and autopoiesis, arguing that meta-organismic cognitive agents (including humans) embody distributed relations beyond the privileging of individual organisms. Key words: 4E cognition, autopoiesis, cognitive agency, developmental systems theory, enactivism, extended mind thesis, holobionts, sympoeisis. (shrink)

Algorithmic biases, or algorithmic unfairness, have been a topic of public and scientific scrutiny for the past years, as increasing evidence suggests the pervasive assimilation of human cognitive biases and stereotypes in such systems. This research is specifically concerned with analyzing the presence of discursive biases in the text generated by GPT-3, an NLPM which has been praised in recent years for resembling human language so closely that it is becoming difficult to differentiate between the human and (...) the algorithm. The pertinence of this research object is substantiated by the identification of race, gender and religious biases in the model’s completions in recent research, suggesting that the model is indeed heavily influenced by human cognitive biases. To this end, this research inquires: How does the Natural Language Processing Model GPT-3 replicate existing social biases?. This question is addressed through the scrutiny of GPT-3’s completions using Critical Discourse Analysis (CDA), a method which has been deemed as amply valuable for this research as it is aimed at uncovering power asymmetries in language. As such, the analysis is specifically centered around the analysis of gender and race biases in the model’s generated text. Research findings suggest that GPT-3’s language generation model significantly exacerbates existing social biases while replicating dangerous ideologies akin to white supremacy and hegemonic masculinity as factual knowledge. (shrink)

In the present context of intertwined and intensifying economic, environmental and climate challenges and crisis, we need to enlarge our thinking about food systems change. One way to do so is by considering intersections between our longstanding interdisciplinary interest in food and agriculture and new scholarship and practice centered on transitions to sustainability. The general idea of transition references change in a wide range of fields and contexts, and has gained prominence most recently as a way to discuss and (...) address sustainability challenges. To explore connections to food systems change, I highlight two broad approaches in the sustainability transitions research field. First is a multi-level perspective that examines sustainability innovation pathways and second is a social practices approach that illuminates the possibilities for shifts in normal everyday routines and practices. Taken together, these approaches offer different and useful ways to think about the dynamics, durability and significance of innovations in food and agriculture, and the part they play in transitions to sustainability. Numerous opportunities exist to forge more productive links between work on food systems change and the broad and growing sustainability transitions field. First, our research and practice insights about the importance of politics, governance, values and ethics in food and agriculture could help to strengthen the sustainability transitions field, which initially underplayed such questions. Second, the sustainability transitions field’s implicit systems sensibility and its futures orientation could help to widen the scope of inquiry and the contribution to policy and planning of research and practice on food systems change. (shrink)

School gardens and garden-based learning continue to gain great popularity in the United States, and their pedagogical potential, and ability to impact students’ fruit and vegetable consumption and activity levels have been well-documented. Less examined is their potential to be agents of food system reskilling and transformation. Though producer and consumer are inextricably linked in the food system, and deskilling of one directly influences the other, theorists often focus on production-centered and consumption-centered deskilling separately. However, in (...) a school garden, the production/consumption disconnect is erased, by virtue of the design of the site itself and how it is utilized by the actors within it. School gardens provide the critical component of education in alternative food networks, and contribute to the producer/consumer reskilling that is a necessary part of food system transformation. We conducted a case study of an established school garden program during its transition from autonomous non-profit to official, district-funded program of a rural school district in the Midwest. By participating in the full “seed to plate” life cycle of a garden crop, students in the garden were actively involved in the reconnection of producer and consumer, while educators were fostering in students an appreciation for fresh, healthy foods and actively challenging the “McDonaldization” of both students’ diets and education. Based upon these findings, we argue that school gardens in rural areas could leverage the dominant role of rural America in developing and shifting food system paradigms. (shrink)

This paper constructs the teaching of tasawuf as a scientific methods in the higher education in Indonesia. The inclusion of systematic approach is based on the teaching of tasawuf by Kiai Emet Ahmad Khotib from Cirebon West Java Indonesia. This study implemented habitus research method and historical method that centered on library research. Habitus is the mental or cognitive structure through which people deal with the social world. A person is endowed with a set of internalized schemas through which (...) they perceive, understand, appreciate and evaluate the social world. It is through such schemes that people produce their practices as well as perceive and evaluate them. Qualitative approach was applied as the basis of data analysis in this study. Results show that Kiai Ahmad Khatib is the successor of the Islamic boarding school al-Ishlah Bobos 1925-1990 of Cirebon. He set 15 system of tasawuf as the scientific system. Basically, the theory was addressed to declare Allah as the Goal, sincerity as the basis for charity or doing _iqror_ deed declare Allah, the stage of Hub or love. In the promise to Allah a learner avoid the betrayals, primarily Betrayal of Allah, Betrayal of the Prophet, Betrayal to Humans, Betrayal to the motherland. The rule of tarbiyah included in the education system should include among others: Plenary System (Manhaj mutakamilah), Upgrade and Enhancement System, One Way System, Choice System, _Tasykil_ system/form, Humans have character traits that are easy to bend, easy to straighten This trait is used as the basis by experts in fostering human awakening from weakness. (shrink)

The population of women farm operators continues to increase in the U.S. That growth, however, is mediated by research showing that women in agriculture experience persistent barriers to equality with men. The Feminist Agriculture Food Theory (FAST) developed by Sach et al. (The Rise of Women Farmers and Sustainable Agriculture, University of Iowa Press, Iowa City, (Sachs et al., The rise of women farmers and sustainable agriculture, University of Iowa Press, 2016) posits that in the face of these barriers, women (...) farmers in the Northeast are engaging in six strategies to increase their success. These include (1) increasing gender equality on their farms, (2) asserting an identity as a farmer, (3) gaining greater access to resources, (4) shaping new food and farming systems, (5) negotiating roles in agricultural organizations, and (6) forming women-centered farming organizations. While researchers have applied FAST to Michigan, it has not been examined at a national level. In this paper, then, we use the 2017 Census of Agriculture Data to measure how women in agriculture in the U.S. are faring on each aspect of FAST we can measure (strategies 1–5). We compare women to men farmers across these FAST strategies and across three different farm types: Non-Organic Non-Value-Added Farms, Organic Farms, and Value-Added Farms. Our findings suggest for FAST strategies 1 and 2 there is an increase in equity and ability to identify as a farmer for women on organic and value-added farms. However, our findings also suggest that for FAST strategies that require more institutional and structural resources (I.e. strategies 3–5), inequities persist across farm types. (shrink)

Even the most scientifically reductionist view of the individual reveals that we are complex systems nested within complex systems. These interactions within and among systems are based and depend on numerous variables of our environment. If we define ethics as a system of moral decision making, then it becomes clear that these decisions ultimately affect the situation of managing our activities and relationships with others in our environment. Given that ecology literally means “a study or system of wisdom (...) and reasoning about the interrelation of organisms in their environment or place of inhabitance,” Owen Flanagan's description of ethics as “human ecology” takes on considerable relevance and importance. (shrink)

In Search Of An Integrative Vision For Technology will stimulate its readers to consider the 'whole story that is information systems' within the context of an integrative vision of technology. It integrates disparate areas of debate and research while appreciating the contribution that philosophy can make to such thinking. It is deliberately broad in coverage, and designed to provide useful pointers so that researchers, students, practitioners, and developers can easily apply each point as needed. "Human issues of technology and (...) their normative aspects" is a theme that runs throughout the entire book. The integrative vision is centered on an understanding of human practice — the twin notions of structure and direction, and the leading and the founding functions of such practice. While this understanding applies to all technologies, it is worked out in more detail for information technology. From this philosophical understanding, many interdisciplinary areas of interest are identified. (shrink)

This book examines the historical development of studies of the brain and behavior from the early work of Aristotle and Galen up to the late twentieth century. Modern neuroscience, a multidisciplinary endeavor, emerged only recently as a unified field . This book does not treat the disciplinary history of neuroscience per se but, rather, the history of attempts to understand the nervous system and its relationship to behavior from a constellation of disciplines all related to what we now call (...) “neuroscience”: anatomy, physiology, psychology, psychiatry, evolutionary theory, and anthropology.Louise H. Marshall is a neuroscientist and director of the UCLA Brain Research Institute's Neuroscience History Archives. Her coauthor, the late neuroscientist Horace W. Magoun, founded the Department of Anatomy at UCLA's Medical School in 1953. Their book grew out of a series of poster presentations put together by Magoun for several national and international neuroscience meetings during the early 1980s. Magoun wrote a twenty‐seven‐page brochure after receiving much enthusiasm from neuroscientists at these meetings—both students and those more established in the field—and many wanted a publication.Not surprisingly, given its early beginnings in poster presentations, the book is richly illustrated. The chapters are arranged only loosely chronologically; their sequence is directed more explicitly by investigative themes. The first chapter outlines three basic “postulates” that direct the organization of the rest of the book and act as conceptual threads: phylogeny , the idea of a structural and functional hierarchy in the nervous system, and the notion that function determines structure. The last chapter, by way of discussion, moves into twentieth‐century developments in the understanding of certain “integrative” systems in the brain and the recognition by neuroscientists of the need for multidisciplinary approaches that integrate anatomical, physiological, and behavioral perspectives.The third postulate, the idea that “form follows function,” receives the most emphasis in the book, and most chapters touch on the oscillating relationship between studies of form and studies of function . The book also illustrates certain historical trends: the anatomical studies of the ancient and Renaissance periods, the more physiological and clinical studies of the nineteenth century, and the instrument‐centered approaches of early twentieth‐century neurophysiology.The book has certain strengths and weaknesses related to the authors' perspective as neuroscientists. As one might expect, elements of presentism arise, as the work of some investigators is described as “anticipating” that of later scientists, and other research—for example, J. L. W. Thudichum's work on brain chemistry—is deemed “surprisingly modern” . However, the book gives wonderfully detailed, precise accounts of scientific developments related to brain and behavior. The authors demonstrate a critical mastery of both primary and secondary sources, with thorough citations, and the book comes with a comprehensive bibliography.Discoveries in the Human Brain does not place neuroscientific developments within a wider cultural or social context, but the authors had no ambitions to do so. They even point to drawbacks of such historical approaches, arguing that they “create issues where none exist and … couch ideas in such convoluted language that the events and concepts become unfamiliar and difficult to fathom” . This position reflects their intended audience: neuroscientists interested in the history of their field. While there is certainly room for professional historians of science to tackle the history of neuroscience, this book will be valuable for historians because literature in the history of neuroscience is sparse. However, it is likely to be of greater value to neuroscientists—in the authors' words, “those workers at the bench who are curious to learn how it all happened.”. (shrink)