The Internet is an important focus of attention for the philosophy of mind and cognitive science communities. This is partly because the Internet serves as an important part of the material environment in which a broad array of human cognitive and epistemic activities are situated. The Internet can thus be seen as an important part of the ‘cognitive ecology’ that helps to shape, support and realize aspects of human cognizing. Much of the previous philosophical work in this area has (...) sought to analyze the cognitive significance of the Internet from the perspective of human cognition. There has, as such, been little effort to assess the cognitive significance of the Internet from the perspective of ‘machine cognition’. This is unfortunate, because the Internet is likely to exert a significant influence on the shape of machine intelligence. The present paper attempts to evaluate the extent to which the Internet serves as a form of cognitive ecology for synthetic forms of intelligence. In particular, the phenomenon of Internet-situated machine intelligence is analyzed from the perspective of a number of approaches that are typically subsumed under the heading of situated cognition. These include extended, embedded, scaffolded and embodied approaches to cognition. For each of these approaches, the Internet is shown to be of potential relevance to the development and operation of machine-based cognitive capabilities. Such insights help us to appreciate the role of the Internet in advancing the current state-of-the-art in machine intelligence. (shrink)

Intelligent humanoid robots (IHRs) are becoming likely to be integrated into nursing practice. However, a proper integration of IHRs requires a detailed description and explanation of their essential capabilities, particularly regarding their competencies in replicating and portraying emotive functions such as empathy. Existing humanoid robots can exhibit rudimentary forms of empathy; as these machines slowly become commonplace in healthcare settings, they will be expected to express empathy as a natural function, rather than merely to portray artificial empathy as a replication (...) of human empathy. This article works with a twofold purpose: firstly, to consider the impact of artificial empathy in nursing and, secondly, to describe the influence of Affective Developmental Robotics (ADR) in anticipation of the empathic behaviour presented by artificial humanoid robots. The ADR has demonstrated that it can be one means by which humanoid nurse robots can achieve expressions of more relatable artificial empathy. This will be one of the vital models for intelligent humanoid robots currently in nurse robot development for the healthcare industry. A discussion of IHRs demonstrating artificial empathy is critical to nursing practice today, particularly in healthcare settings dense with technology. (shrink)

Gilbert Harman and other situationists have argued, on thefollowing grounds, that many ordinary moral judgments are false.First, many moral judgments posit robust personal character traits inthe course of describing or explaining individual human behavior.Second, the empirical evidence strongly suggests these traits do notexist. I sketch some of the reasoning behind situationism and arguethat Harman’s view cannot be entirely right. He is himselfcommitted to there being at least one robust individual charactertrait, namely a form of personal intelligence. Moreover, the notion (...) ofa situation upon which he relies is inadequate to his purpose. (shrink)

정확하고 빠르고 강건하게 이동하는 모빌리티 인공지능(MAI) 구현을 위해서 체화된 인공지능(EAI)은 고전적 인공지능의 한계를 극복할 것을 주장하지만, 그 자신의 고유한 난점들에 직면해 있다. 그러한 난점의 주요 원인 중 하나는 EAI를 규정하는 “상황 속에서 환경과의 역동적인 실시간 상호작용”이 지니는 의미가 불명료한 데에도 있다. 이 문제를 고찰하면서 본 논문은 세 가지를 제안하고자 한다. 첫째, ‘상황’을 “과제유관 맥락”으로, ‘환경’을 “과제무관 맥락”으로 구분하여 정의할 것을 제안한다. 둘째, 이러한 구별에 기초하여 EAI가 해결해야할 두 가지 목표(1. ‘상황’에서 정확·신속·강건하게 이동하는 AI 구현 및 2. ‘환경’에 적응하여 학습·발달·진화하는 AI (...) 구현)를 분명히 구분하고, 상황과 환경에 대한 현상학적 분석에 기초하여 목표 2의 달성이 목표 1의 달성의 토대임을 확인할 것을 제안한다. 셋째, 두 목표의 해결 모두 키네스테시스에 기초해야 함을 제안한다. (shrink)

The emergence of personal assistants in the form of smart speakers has begun to significantly alter people’s everyday experiences with technology. The rate at which household Intelligent Personal Assistants such as Amazon’s Echo and Google Home emerged in household spaces has been rapid. They have begun to move human–computer interaction from text-based to voice-activated input, offering a multiplicity of features through speech. The supporting infrastructure connects with artificial intelligence and the internet of things, allowing digital interfaces with domestic appliances, (...) lighting systems, thermostats, media devices and more. Yet this also constitutes a significant new production of situated and sensitive data. This study focuses on how users negotiate and make choices about household Intelligent Personal Assistant use in connection with their data. This study is based on empirical research in Europe with early adopters in Germany and potential users in the Netherlands. This examination of users’ early stage technology acceptance considerations highlights particular practices and choices of users to either preserve their privacy or determine what is acceptable use for their data. Drawing on a simplified version of Unified Theory of Acceptance and Use of Technology 2, a quantitative model for technology acceptance, we demonstrate how acceptance of a household Intelligent Personal Assistants does not imply access to all household data, how users see usefulness in relation to a proliferation of devices, and note the recognition by users regarding the efforts needed for full use and acceptance. The study highlights the complexity of data production at a household level and how these devices produce myopic views of users for platforms. (shrink)

This research assessed how the performance and team skills of three-person teams working with an Intelligent Team Tutoring System on a virtual military surveillance task were affected by feedback privacy, participant role, task experience, prior team experience, and teammate familiarity. Previous work in Intelligent Tutoring Systems has focused on outcomes for task skill training for individual learners. As research extends into intelligent tutoring for teams, both task skills and team skills are necessary for good team performance. This work includes a (...) brief review of previous research on ITTSs, feedback, teams, and teamwork, including the recounting of two categories of a framework of teamwork performance, Communication and Cognition, which are relevant to the present study. This research examines the effects of an intelligent agent, as well as features of the team, its members, and the task being undertaken, on team communication and team situation awareness. Thirty-seven teams of three participants, each at their own computer running a multiplayer surveillance simulation, were given just-in-time private or public performance feedback during four 5-min trials. In the fourth trial, two of the three participants switched roles. Feedback type, teamwork experience, and teammate familiarity had no statistically significant effect on communication or team situation awareness. However, higher levels of role experience and task experience showed significant and medium-sized effects on communication performance. Results, based on performance data and structured interview responses, also revealed areas of improvement in future feedback design and a potential benchmark for feedback frequency in an action-oriented serious game-based ITTS. Among the conclusions are six design objectives for future ITTSs, establishing a foundation for future research on designing effective ITTSs that train interpersonal skills to nascent teams. (shrink)

Closed-loop administration of propofol for the control of hypnosis in anesthesia has evidenced an outperformance when comparing it with manual administration in terms of drug consumption and post-operative recovery of patients. Unlike other systems, the success of this strategy lies on the availability of a feedback variable capable of quantifying the current hypnotic state of the patient. However, the appearance of anomalies during the anesthetic process may result in inaccurate actions of the automatic controller. These anomalies may come from the (...) monitors, the syringe pumps, the actions of the surgeon or even from alterations in patients. This could produce adverse side effects that can affect the patient postoperative and reduce the safety of the patient in the operating room. Then, the use of anomaly detection techniques plays a significant role to avoid this undesirable situations. This work assesses different one-class intelligent techniques to detect anomalies in patients undergoing general anesthesia. Due to the difficulty of obtaining real data from anomaly situations, artificial outliers are generated to check the performance of each classifier. The final model presents successful performance. (shrink)

This volume is the direct result of a conference in which a number of leading researchers from the fields of artificial intelligence and biology gathered to ...

Mandevillian intelligence is a specific form of collective intelligence in which individual cognitive vices are seen to play a positive functional role in yielding collective forms of cognitive success. The present paper introduces the concept of mandevillian intelligence and reviews a number of strands of empirical research that help to shed light on the phenomenon. The paper also attempts to highlight the value of the concept of mandevillian intelligence from a philosophical, scientific and engineering perspective. Inasmuch (...) as we accept the notion of mandevillian intelligence, then it seems that the cognitive and epistemic value of a specific social or technological intervention will vary according to whether our attention is focused at the individual or collective level of analysis. This has a number of important implications for how we think about the design and evaluation of collective cognitive systems. For example, the notion of mandevillian intelligence forces us to take seriously the idea that the exploitation of individual cognitive shortcomings could, in some situations, provide a productive route to collective forms of cognitive and epistemic success. (shrink)

In this special issue of Minds and Machines ("Situations and Artificial Intelligence") we take a close look at recent situation-theoretic research which has mostly originated within a philosophical framework but promises to have strong connotations for Artificial Intelligence workers. The seven papers which make up this special issue (three of the papers appear in Minds and Machines 9(1)) demonstrate the advantages of the situation-based approach towards problems with a definite AI flavor.

This paper discusses different approaches incognitive science and artificial intelligenceresearch from the perspective of radicalconstructivism, addressing especially theirrelation to the biologically based theories ofvon Uexküll, Piaget as well as Maturana andVarela. In particular recent work in New AI and adaptive robotics on situated and embodiedintelligence is examined, and we discuss indetail the role of constructive processes asthe basis of situatedness in both robots andliving organisms.

Emotional intelligence can be comprehensively redefined based on the componential emotion approach. The componential emotion approach defines emotions as processes that are elicited by goal-relevant situations and that consist of an interplay between appraisals, action tendencies, bodily reactions, expressions, and feelings. Within the componential emotion approach, emotional intelligence can be redefined as the ability (a) to identify emotions based on information from one or more of the five emotion components, (b) to understand emotions in terms of the likely (...) appraisals, action tendencies, bodily reactions, expressions, and feelings that are elicited by goal-relevant situations, and (c) to know how to regulate emotions by modifying one or more of these five components. (shrink)

Background Artificial intelligence (AI) has revolutionized various healthcare domains, where AI algorithms sometimes even outperform human specialists. However, the field of clinical ethics has remained largely untouched by AI advances. This study explores the attitudes of anesthesiologists and internists towards the use of AI-driven preference prediction tools to support ethical decision-making for incapacitated patients. Methods A questionnaire was developed and pretested among medical students. The questionnaire was distributed to 200 German anesthesiologists and 200 German internists, thereby focusing on physicians (...) who often encounter patients lacking decision-making capacity. The questionnaire covered attitudes toward AI-driven preference prediction, availability and utilization of Clinical Ethics Support Services (CESS), and experiences with ethically challenging situations. Descriptive statistics and bivariate analysis was performed. Qualitative responses were analyzed using content analysis in a mixed inductive-deductive approach. Results Participants were predominantly male (69.3%), with ages ranging from 27 to 77. Most worked in nonacademic hospitals (82%). Physicians generally showed hesitance toward AI-driven preference prediction, citing concerns about the loss of individuality and humanity, lack of explicability in AI results, and doubts about AI’s ability to encompass the ethical deliberation process. In contrast, physicians had a more positive opinion of CESS. Availability of CESS varied, with 81.8% of participants reporting access. Among those without access, 91.8% expressed a desire for CESS. Physicians' reluctance toward AI-driven preference prediction aligns with concerns about transparency, individuality, and human-machine interaction. While AI could enhance the accuracy of predictions and reduce surrogate burden, concerns about potential biases, de-humanisation, and lack of explicability persist. Conclusions German physicians frequently encountering incapacitated patients exhibit hesitance toward AI-driven preference prediction but hold a higher esteem for CESS. Addressing concerns about individuality, explicability, and human-machine roles may facilitate the acceptance of AI in clinical ethics. Further research into patient and surrogate perspectives is needed to ensure AI aligns with patient preferences and values in complex medical decisions. (shrink)

_Purpose._ The study aims to understand artificial intelligence as a socio-cultural phenomenon and its impact on education, where the spiritual sphere of humanity, moral norms, values, and human cognitive abilities are preserved, transferred as well as reproduced. A new discourse on the interaction of artificial and authentic human intelligence becomes inevitable, which has led to a situation of uncertainty. Changes in the socio-cultural environment under the influence of artificial intelligence increase potential threats to the educational space, which (...) stimulates to find the ways to eliminate them. _Theoretical basis._ Various approaches of classical and postmodern philosophical heritage were taken as a theoretical basis for the research. _The originality_ of the study is in the interpretation of artificial intelligence as a modern form of alienation of essential human characteristics in the socio-cultural context of information technology. The expansion of artificial intelligence raises awareness of the existential threat to the basic socio-cultural, moral and ethical principles of humanism. It is proved that various forms of alienation in the current existing socio-cultural space are typical of our reality, which changes the system of values, moral principles, and social organization of the community. _Conclusions._ In conclusion, it is proved that AI is a natural stage of scientific and technological progress, which reflects its secondary, derivative nature from human (authentic) intelligence. Human intelligence will always have advantages over AI due to its ability to create, communicate socially and culturally, and be emotional. The dilemma of the counterbalance between human and artificial intelligence is perceived mainly at the emotional level of people. The millennial understanding of the primacy of the creator over his creation can traditionally overcome this contradiction. The universality of human thinking is an undeniable advantage of human intelligence and a guarantee of its, i.e. our, priority. (shrink)

The presence of general intelligence poses a major evolutionary puzzle, which has led to increased interest in its presence in nonhuman animals. The aim of this review is to critically evaluate this question and to explore the implications for current theories about the evolution of cognition. We first review domain-general and domain-specific accounts of human cognition in order to situate attempts to identify general intelligence in nonhuman animals. Recent studies are consistent with the presence of general intelligence (...) in mammals (rodents and primates). However, the interpretation of a psychometricgfactor as general intelligence needs to be validated, in particular in primates, and we propose a range of such tests. We then evaluate the implications of general intelligence in nonhuman animals for current theories about its evolution and find support for the cultural intelligence approach, which stresses the critical importance of social inputs during the ontogenetic construction of survival-relevant skills. The presence of general intelligence in nonhumans implies that modular abilities can arise in two ways, primarily through automatic development with fixed content and secondarily through learning and automatization with more variable content. The currently best-supported model, for humans and nonhuman vertebrates alike, thus construes the mind as a mix of skills based on primary and secondary modules. The relative importance of these two components is expected to vary widely among species, and we formulate tests to quantify their strength. (shrink)

_Virtue as Social Intelligence: An Empirically Grounded Theory_ takes on the claims of philosophical situationism, the ethical theory that is skeptical about the possibility of human virtue. Influenced by social psychological studies, philosophical situationists argue that human personality is too fluid and fragmented to support a stable set of virtues. They claim that virtue cannot be grounded in empirical psychology. This book argues otherwise. Drawing on the work of psychologists Walter Mischel and Yuichi Shoda, Nancy E. Snow argues that (...) the social psychological experiments that philosophical situationists rely on look at the wrong kinds of situations to test for behavioral consistency. Rather than looking at situations that are objectively similar, researchers need to compare situations that have similar meanings _for the subject_. When this is done, subjects exhibit behavioral consistencies that warrant the attribution of enduring traits, and virtues are a subset of these traits. Virtue can therefore be empirically grounded and virtue ethics has nothing to fear from philosophical situationism. (shrink)

The theory of affective intelligence dichotomizes challenging situations into threatening and risky ones. When people perceive a familiar threat, they tend to be dogmatic and partisan, since they are mobilizing decisive action based on habitual behaviors and nearly instinctual perceptions that have proved their worth in similar situations. When facing a novel risk, however, people tend to become more open‐minded and deliberative, since old solutions do not apply. An experiment with students' reactions to challenges to their opinions about a (...) divisive political issue suggests that, indeed, democratic citizens display the different competencies that are demanded by these two different types of situation. The actual conduct of political campaigns, too, can be expected to reflect the differences between trying to guard against defections from one's side by encouraging the appearance of routine partisan combat, and trying to promote defections from the other side by prompting anxiety, hence open‐minded deliberation. (shrink)

Existential phenomenologists hold that the two most basic forms of intelligent behavior, learning, and skillful action, can be described and explained without recourse to mind or brain representations. This claim is expressed in two central notions in Merleau-Ponty's Phenomenology of Perception: the intentional arc and the tendency to achieve a maximal grip. The intentional arc names the tight connection between body and world, such that, as the active body acquires skills, those skills are stored, not as representations in the mind, (...) but as dispositions to respond to the solicitations of situations in the world. A phenomenology of skill acquisition confirms that, as one acquires expertise, the acquired know-how is experienced as finer and finer discriminations of situations paired with the appropriate response to each. Maximal grip names the body's tendency to refine its responses so as to bring the current situation closer to an optimal gestalt. Thus, successful learning and action do not require propositional mental representations. They do not require semantically interpretable brain representations either.Simulated neural networks exhibit crucial structural features of the intentional arc, and Walter Freeman's account of the brain dynamics underlying perception and action is structurally isomorphic with Merleau-Ponty's account of the way a skilled agent is led by the situation to move towards obtaining a maximal grip. (shrink)

Recent decades have witnessed tremendous progress in artificial intelligence and in the development of autonomous systems that rely on artificial intelligence. Critics, however, have pointed to the difficulty of allocating responsibility for the actions of an autonomous system, especially when the autonomous system causes harm or damage. The highly autonomous behavior of such systems, for which neither the programmer, the manufacturer, nor the operator seems to be responsible, has been suspected to generate responsibility gaps. This has been the (...) cause of much concern. In this article, I propose a more optimistic view on artificial intelligence, raising two challenges for responsibility gap pessimists. First, proponents of responsibility gaps must say more about when responsibility gaps occur. Once we accept a difficult-to-reject plausibility constraint on the emergence of such gaps, it becomes apparent that the situations in which responsibility gaps occur are unclear. Second, assuming that responsibility gaps occur, more must be said about why we should be concerned about such gaps in the first place. I proceed by defusing what I take to be the two most important concerns about responsibility gaps, one relating to the consequences of responsibility gaps and the other relating to violations of jus in bello. (shrink)

Artificial intelligence (AI) is increasingly expected to disrupt the ordinary functioning of society. From how we fight wars or govern society, to how we work and play, and from how we create to how we teach and learn, there is almost no field of human activity which is believed to be entirely immune from the impact of this emerging technology. This poses a multifaceted problem when it comes to designing and understanding regulatory responses to AI. This article aims to: (...) (i) defend the need for a novel conceptual model for understanding the systemic legal disruption caused by new technologies such as AI; (ii) to situate this model in relation to preceding debates about the interaction of regulation with new technologies (particularly the ‘cyberlaw’ and ‘robolaw’ debates); and (iii) to set out a detailed model for understanding the legal disruption precipitated by AI, examining both pathways stemming from new affordances that can give rise to a regulatory ‘disruptive moment’, as well as the Legal Development, Displacement or Destruction that can ensue. The article proposes that this model of legal disruption can be broadly generalisable to understanding the legal effects and challenges of other emerging technologies. (shrink)

Some recent developments in Artificial Intelligence—especially the use of machine learning systems, trained on big data sets and deployed in socially significant and ethically weighty contexts—have led to a number of calls for “transparency”. This paper explores the epistemological and ethical dimensions of that concept, as well as surveying and taxonomising the variety of ways in which it has been invoked in recent discussions. Whilst “outward” forms of transparency may be straightforwardly achieved, what I call “functional” transparency about the (...) inner workings of a system is, in many cases, much harder to attain. In those situations, I argue that contestability may be a possible, acceptable, and useful alternative so that even if we cannot understand how a system came up with a particular output, we at least have the means to challenge it. (shrink)

i The 2005 decision by Judge John E. Jones in Kitzmiller v. Dover Area School District was celebrated by all red-blooded American liberals as a victory over the forces of darkness. The result was probably inevitable, in view of the reckless expression by some members of the Dover School Board of their desire to put religion into the classroom, and the clumsiness of their prescribed statement in trying to dissimulate that aim.1 But the conflicts aired in this trial—over the status (...) of evolutionary theory, the arguments for intelligent design, and the nature of science—reveal an intellectually unhealthy situation. The political urge to defend science education against the threats of religious orthodoxy, understandable though it is, has resulted in a counterorthodoxy, supported by bad arguments, and a tendency to overstate the legitimate scientific claims of evolutionary theory. Skeptics about the theory are seen as so dangerous, and so disreputably motivated, that they must be denied any shred of.. (shrink)

The objective of this essay is to provide the beginning of a principled classification of some of the ways space is intelligently used. Studies of planning have typically focused on the temporal ordering of action, leaving as unaddressed questions of where to lay down instruments, ingredients, work-in-progress, and the like. But, in having a body, we are spatially located creatures: we must always be facing some direction, have only certain objects in view, be within reach of certain others. How we (...) manage the spatial arrangement of items around us is not an afterthought: it is an integral part of the way we think, plan, and behave. The proposed classification has three main categories: spatial arrangements that simplify choice; spatial arrangements that simplify perception; and spatial dynamics that simplify internal computation. The data for such a classification is drawn from videos of cooking, assembly and packing, everyday observations in supermarkets, workshops and playrooms, and experimental studies of subjects playing Tetris, the computer game. This study, therefore, focuses on interactive processes in the medium and short term: on how agents set up their workplace for particular tasks, and how they continuously manage that workplace. (shrink)

As artificial intelligence (AI) thrives and propagates through modern life, a key question to ask is how to include humans in future AI? Despite human involvement at every stage of the production process from conception and design through to implementation, modern AI is still often criticized for its “black box” characteristics. Sometimes, we do not know what really goes on inside or how and why certain conclusions are met. Future AI will face many dilemmas and ethical issues unforeseen by (...) their creators beyond those commonly discussed (e.g., trolley problems and variants of it) and to which solutions cannot be hard-coded and are often still up for debate. Given the sensitivity of such social and ethical dilemmas and the implications of these for human society at large, when and if our AI make the “wrong” choice we need to understand how they got there in order to make corrections and prevent recurrences. This is particularly true in situations where human livelihoods are at stake (e.g., health, well-being, finance, law) or when major individual or household decisions are taken. Doing so requires opening up the “black box” of AI; especially as they act, interact, and adapt in a human world and how they interact with other AI in this world. In this article, we argue for the application of cognitive architectures for ethical AI. In particular, for their potential contributions to AI transparency, explainability, and accountability. We need to understand how our AI get to the solutions they do, and we should seek to do this on a deeper level in terms of the machine-equivalents of motivations, attitudes, values, and so on. The path to future AI is long and winding but it could arrive faster than we think. In order to harness the positive potential outcomes of AI for humans and society (and avoid the negatives), we need to understand AI more fully in the first place and we expect this will simultaneously contribute towards greater understanding of their human counterparts also. (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)

This article analyzes the legal-philosophical situation of Artificial Intelligence and the intelligent robot on being a subject of Law to be considered a creative person or author. The contradiction involved in allowing an object to present the legal duality of being protected as an object that it is and at the same time being considered a subject by the resulting work is analyzed, an impairment or vulgarization for the subject of Law as a moral subject when proposing the fictio (...) legis de a moral object, which is not conceivable. Instead, an alternative to such an aporia is proposed, more fictitious than real. (shrink)

Spam electronic mails (emails) refer to harmful and unwanted commercial emails sent to corporate bodies or individuals to cause harm. Even though such mails are often used for advertising services and products, they sometimes contain links to malware or phishing hosting websites through which private information can be stolen. This study shows how the adaptive intelligent learning approach, based on the visual anti-spam model for multi-natural language, can be used to detect abnormal situations effectively. The application of this approach is (...) for spam filtering. With adaptive intelligent learning, high performance is achieved alongside a low false detection rate. There are three main phases through which the approach functions intelligently to ascertain if an email is legitimate based on the knowledge that has been gathered previously during the course of training. The proposed approach includes two models to identify the phishing emails. The first model has proposed to identify the type of the language. New trainable model based on Naive Bayes classifier has also been proposed. The proposed model is trained on three types of languages (Arabic, English and Chinese) and the trained model has used to identify the language type and use the label for the next model. The second model has been built by using two classes (phishing and normal email for each language) as a training data. The second trained model (Naive Bayes classifier) has been applied to identify the phishing emails as a final decision for the proposed approach. The proposed strategy is implemented using the Java environments and JADE agent platform. The testing of the performance of the AIA learning model involved the use of a dataset that is made up of 2,000 emails, and the results proved the efficiency of the model in accurately detecting and filtering a wide range of spam emails. The results of our study suggest that the Naive Bayes classifier performed ideally when tested on a database that has the biggest estimate (having a general accuracy of 98.4%, false positive rate of 0.08%, and false negative rate of 2.90%). This indicates that our Naive Bayes classifier algorithm will work viably on the off chance, connected to a real-world database, which is more common but not the largest. (shrink)

Nurses have traditionally been regarded as clinicians that deliver compassionate, safe, and empathetic health care (Nurses again outpace other professions for honesty & ethics, 2018). Caring is a fundamental characteristic, expectation, and moral obligation of the nursing and caregiving professions (Nursing: Scope and standards of practice, American Nurses Association, Silver Spring, MD, 2015). Along with caring, nurses are expected to undertake ever‐expanding duties and complex tasks. In part because of the growing physical, intellectual and emotional demandingness, of nursing as well (...) as technological advances, artificial intelligence (AI) and AI care robots are rapidly changing the healthcare landscape. As technology becomes more advanced, efficient, and economical, opportunities and pressure to introduce AI into nursing care will only increase. In the first part of the article, we review recent and existing applications of AI in nursing and speculate on future use. Second, situate our project within the recent literature on the ethics of nursing and AI. Third, we explore three dominant theories of caring and the two paradigmatic expressions of caring (touch and presence) and conclude that AI—at least for the foreseeable future—is incapable of caring in the sense central to nursing and caregiving ethics. We conclude that for AI to be implemented ethically, it cannot transgress the core values of nursing, usurp aspects of caring that can only meaningfully be carried out by human beings, and it must support, open, or improve opportunities for nurses to provide the uniquely human aspects of care. (shrink)

Intelligent design theorists assert that ID is a scientific theory that is merely consistent with some religious beliefs. Many critics point to the circumstantial evidence of the apparent development of ID from creation science and the affiliation of ID with mainstream evangelical organizations to assert its religious orientation. This article suggests that the position of ID proponents is a substantial understatement, and that beyond the circumstantial evidence of critics, fundamental Christian doctrine constitutes the essence of ID theory. The bulk of (...) scholarship on ID is polarized into those for and against, as most focus on adjudicating ID truth claims, but this adversarial structure elides some important complexities. This article sets aside the truth claims of ID and focuses more broadly on the discourse in which it is situated to show the Christian core of ID and to examine several hallmarks of religion apparent from this perspective. (shrink)

Cosmic questions concern the relationship between the meaning we attribute to our lives and the cosmos within which such lives are situated. After explaining why such questions are liable to seem problematic, this article considers two responses to the envisaged difficulties. The first, a dismissive philosophical response, is itself dismissed. And, the second, which takes into account the socio-historical context of these difficulties, points towards Richard Rorty’s idea of radical self-reliance as a solution. Thomas Nagel’s exceptionalism, his reluctance to (...) accept either of these responses is then criticized on the grounds that it resurrects a conception of the religious temperament that is no longer tenable. (shrink)

Existential phenomenologists hold that the two most basic forms of intelligent behavior, learning, and skillful action, can be described and explained without recourse to mind or brain representations. This claim is expressed in two central notions in Merleau-Ponty's Phenomenology of Perception: the intentional arc and the tendency to achieve a maximal grip. The intentional arc names the tight connection between body and world, such that, as the active body acquires skills, those skills are “stored”, not as representations in the mind, (...) but as dispositions to respond to the solicitations of situations in the world. A phenomenology of skill acquisition confirms that, as one acquires expertise, the acquired know-how is experienced as finer and finer discriminations of situations paired with the appropriate response to each. Maximal grip names the body's tendency to refine its responses so as to bring the current situation closer to an optimal gestalt. Thus, successful learning and action do not require propositional mental representations. They do not require semantically interpretable brain representations either.Simulated neural networks exhibit crucial structural features of the intentional arc, and Walter Freeman's account of the brain dynamics underlying perception and action is structurally isomorphic with Merleau-Ponty's account of the way a skilled agent is led by the situation to move towards obtaining a maximal grip. (shrink)

The development of the systems of artificial intelligence (AI) and digital transformation in general lead to the formation of multitude of autonomous agents of artificial and mixed genealogy, as well as to complex structures in the information and regulatory environment with many opportunities and pathologies and a growing level of uncertainty in making managerial decisions. The situation is complicated by the continuing plurality of understanding of the essence of AI systems. The modern expanded understanding of AI goes back to (...) ideas formulated more than 100 years ago. In official national policy documents on the development of AI, working definitions of AI are preferred. The current stage of AI systems life cycle can be assessed as the completion of the initial period in the development of systems associated with weak AI. The ability of artificial systems to realize themselves as a separate person becomes one of the serious scientific and practical challenges. Attention to the issues of the ethics of AIS indicates the expansion of the diversity of its forms and the beginning of the work in the field of goal-setting. New moral and ethical problems also arise in connection with the possibility of the creation of genuine conscious subjects in the foreseeable future. There is an increasing phenomenon of degradation of natural intelligence. It is required to take into account the issue of the heterogeneity of data generated by humans, electronic sensors and network devices in the dynamic complex environments of the digital economy, the issue of the complexity of the process of co-evolution of AI systems, collective and individual natural consciousness. A special area of opportunities and risks is the development of neurotechnologies. The object of control is digital twins, through which there can be manipulation of real attitudes, preferences, and behavior of individuals. As a result, there are the development of technological capabilities that provoke destructive phenomena as well as the formation of a new class of mass addictions. (shrink)

At the MIT Arti cial Intelligence Laboratory we have been working on technologies for an Intelligent Room. Rather than pull people into the virtual world of the computer we are trying to pull the computer out into the real world of people. To do this we are combining robotics and vision technology with speech understanding systems, and agent based architectures to provide ready at hand computation and information services for people engaged in day to day activities, both on their (...) own and in conjunction with others. We have built a layered architecture where at the bottom level vision systems track people and identify their activities and gestures, and through word spotting decide whether people in the room are talking to each other or to the room itself. At the next level an agent architecture provides a uniform interface to such specially built systems, and to other o the shelf software, such as web browsers, etc. At the highest level we are able to build application systems that provide occupants of the room with specialized services; examples we have built include systems for command and control situations rooms and as a room for giving presentations. (shrink)

A growing body of literature supports that fixed intelligence mindset promotes the emergence of maladaptive emotional reactions, especially when self-threat is imminent. Previous studies have confirmed that in adverse academic situations, students endorsing fixed intelligence mindset experience higher levels of negative emotions, although little is known about the mechanisms through which fixed intelligence mindset exerts its influence. Thus, the present study proposed to investigate self-esteem as a mediator of this relationship in two different cultural contexts, in Hungary (...) and the United States. Structural equation modeling revealed that self-esteem fully mediated the relationship between fixed intelligence mindset and negative emotions. Furthermore, results of the invariance testing conferred preliminary evidence for the cross-cultural validity of the mediation model. These findings suggest that, students adhering to fixed intelligence beliefs tend to experience greater self-esteem loss when experiencing academic failure, which leads to higher levels of negative emotions. (shrink)

This paper focuses on the use of ‘black box’ AI in medicine and asks whether the physician needs to disclose to patients that even the best AI comes with the risks of cyberattacks, systematic bias, and a particular type of mismatch between AI’s implicit assumptions and an individual patient’s background situation.Pacecurrent clinical practice, I argue that, under certain circumstances, these risks do need to be disclosed. Otherwise, the physician either vitiates a patient’s informed consent or violates a more general obligation (...) to warn him about potentially harmful consequences. To support this view, I argue, first, that the already widely accepted conditions in the evaluation of risks, i.e. the ‘nature’ and ‘likelihood’ of risks, speak in favour of disclosure and, second, that principled objections against the disclosure of these risks do not withstand scrutiny. Moreover, I also explain that these risks are exacerbated by pandemics like the COVID-19 crisis, which further emphasises their significance. (shrink)

This chapter contains sections titled: The Analogous Situation in Ethics What to Make of All This The Inadequacy of Benthamite “Pleasure” Dewey versus Kant Conclusion.

Evolutionary multi-objective optimization algorithms have been successfully applied in many real-life problems. EMOAs approximate the set of trade-offs between multiple conflicting objectives, known as the Pareto optimal set. Reference point approaches can alleviate the optimization process by highlighting relevant areas of the Pareto set and support the decision makers to take the more confident evaluation. One important drawback of this approaches is that they require an in-depth knowledge of the problem being solved in order to function correctly. Collective intelligence (...) has been put forward as an alternative to deal with situations like these. This paper extends some well-known EMOAs to incorporate collective preferences and interactive techniques. Similarly, two new preference-based multi-objective optimization performance indicators are introduced in order to analyze the results produced by the proposed algorithms in the comparative experiments carried out. (shrink)

The emergence of collective intelligence has been studied in much greater detail in small groups than in larger ones. Nevertheless, in groups of several hundreds or thousands of members, it is well-known that the social environment exerts a considerable influence on individual behavior. A few recent papers have dealt with some aspects of large group situations, but have not provided an in-depth analysis of the role of interactions among the members of a group in the creation of ideas, as (...) well as the group’s overall performance. In this study, we report an experiment where a large set of individuals, i.e., 789 high-school students, cooperated online in real time to solve two different examinations on a specifically designed platform (Thinkhub). Our goal of this paper 6 to describe the specific mechanisms of idea creation we were able to observe and to measure the group’s performance as a whole. When we deal with communication networks featuring a large number of interacting entities, it seems natural to model the set as a complex system by resorting to the tools of statistical mechanics. Our experiment shows how an interaction in small groups that increase in size over several phases, leading to a final phase where the students are confronted with the most popular answers of the previous phases, is capable of producing high-quality answers to all examination questions, whereby the last phase plays a crucial role. Our experiment likewise shows that a group’s performance in such a task progresses in a linear manner in parallel with the size of the group. Finally, we show that the controlled interaction and dynamics foreseen in the system can reduce the spread of “fake news” within the group. (shrink)

The objective of this research has been to evaluate the effect of the integration of Artificial Intelligence on the motivation of students, in the area of Chemistry of tenth grade of the Adventist School of Ibagué. To this end, a methodology with a qualitative approach and a Participatory Action Research design with four phases were used: planning, action, observation and reflection. The information was collected through observation and interview techniques for which field diaries and structured script were used as (...) research instruments. This information was analyzed with the Atlas.ti 23 software, the resulting codes allowed the definition of the categories: experience in the use of artificial intelligence, motivation and commitment, meaningful learning and perceptions about teaching and learning. The results obtained reflect an increase in student motivation and engagement, as well as a favorable impact on meaningful learning. They highlight the pedagogical potential of this resource, to diversify and enrich didactics in the teaching of chemistry. A positive perception by students towards the implementation of AI in the classroom was identified. It is concluded that the use of AI mediated with the design of pedagogical strategies to create learning environments and situations can improve the motivation of students, generating a space for knowledge and meaningful learning. However, challenges were also identified, such as the need for teacher and student training in the management and proper use of technological resources. In addition, the importance of not considering artificial intelligence as a total replacement for the role of the teacher, but as a complementary tool that requires an adequate pedagogical approach, is highlighted. (shrink)

The provocative title of this conference is, “Can Virtue Be Measured?” My answer to this question is, “Yes, it can,” and I hasten to add, “It should be.” I began thinking about whether and how to measure virtue when Jennifer Cole Wright, a psychologist from the College of Charleston, and I were approached to write a popular book on measuring virtue. Alas, that project didn’t get anywhere, but I hope that our thinking about this issue might yet bear fruit. Central (...) to our thought is a notion suggested to us by one of our prospective editors. That is the idea of virtue intelligence.1 In part I, I sketch arguments for the importance of measuring virtue and sketch how the concept of virtue intelligence might help us to approach this venture. In II, I articulate in more detail what virtue intelligence is, and, in III, situate it within philosophical theories of virtue. In IV, I draw upon the thinking that Jen and I have done to briefly discuss what we believe to be some of the most innovative and exciting methodologies for measuring virtue now being explored. Finally, in V, I go out on a limb and suggest something rather different, inspired by my recent reading on the topic of “big data.”. (shrink)

Since its inception, situation theory has been concerned with the situated nature of meaning and cognition, a theme which has also recently gained some prominence in Artificial Intelligence. Channel theory is a recently developed framework which builds on concepts introduced in situation theory, in an attempt to provide a general theory of information flow. In particular, the channel theoretic framework offers an account of fallible regularities, regularities which provide enough structure to an agent's environment to support efficient cognitive (...) processing but which are limited in their reliability to specific circumstances. This paper describes how this framework can lead to a different perspective on defeasible reasoning: rather than being seen as reasoning with incomplete information, an agent makes use of a situated regularity, choosing to use the regularity that seems best suited (trading off reliability and simplicity) to the circumstances it happens to find itself in. We present a formal model for this task, based on the channel theoretic framework, and sketch how the model may be used as the basis for a methodology of defeasible situated reasoning, whereby agents reason with simple monotonic regularities but may revise their choice of regularity on learning more about their circumstances. (shrink)

The present study focuses on the situation in which mind-reading machines will be connected, initially through the incorporation of weak AI, and then in conjunction to strong AI, an aspect that, ongoing, will no longer have a simple medical role, as is the case at present, but one of surveillance and monitoring of individuals—an aspect that is heading us towards a future techno-panoptic singularity. Thus, the general objective of this paper raises the problem of the ontological stability of human nature (...) which, within the limits of the technological singularity of mind-reading machines, leads to the loss of autonomy and a reduction in freedom when it comes to human thoughts. In this paradigm, the hypothesis of a future era of technological singularity is prefigured to be a cumulation of factors in which artificial intelligence holds a dominant position in relation to the human agent, in a techno-panoptic system of human supervision, in the form of a new world order of manifestation/imposition of power—that of a “singleton.” The theoretical objective analyzes the phenomenon of “deterritorrialization” of the Foucauldian panoptic mechanism —which is based on the “biopolitical” system of “biopower”—and its “reterritorialization” in the “territory” of the techno-panoptic singularity, where the scenario of a strong AI “singleton”, represents the alienation of the Being into a hard technological determinism. (shrink)

The paper addresses the use of heterogeneous ensembles of intelligent unmanned vehicles in such a perspective field of innovations as an unmanned fishery. The issues of joint activity of unmanned vehicles of different types in fishing operations based on intelligent technologies are investigated. The “smart fishing” approach based on the joint fishing operation model is proposed. The operational framework that includes missions, roles, and activity scenarios embedded in the discretized spatial model is presented. The scenario activities are considered as the (...) sequences of pentad that determine executing specific functions concerning the specified waypoint, timepoints, and the states of vehicles. The definition of the plan as the scenario prototype that needs adjusting to the conditions of the situational context is proposed. The coordination problem regarding the joint activities of the unmanned vehicles and their scenarios is defined and the coordination framework based on the distributed common board model and coordination primitives is presented. The prototype of the intelligent scenario-based system including the implementation of both operational and coordination frameworks developed for the control of unmanned vehicles is described. This system makes unmanned vehicles capable to absorb all the latest advances in intelligent technologies to perform smart fishing operations jointly in a large heterogeneous group. The proposed approach to smart fishing using intelligent technologies makes it possible to detach fishermen from the fishing activities dangerous to their life and health, to reduce significantly poaching and illegal fishing, to increase the overall efficiency of fishing operations, and even to save the marine ecosystem. (shrink)

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

This paper examines narrative approaches to care within the context of dementia. It reviews the function of stories and explores some of the narrative genres that shape the cultural perceptions of dementia. We argue that narrative intelligence within healthcare is an important element in nurturing communal self‐identity for people living with dementia. Listening and responding to stories and the cultural framework that this encompasses is an embodied action that is not just related to cognitive recall but situates us within (...) a cultural community. People with dementia may have challenges in maintaining narrative legitimacy in the face of fractured stories and incoherent narratives. Health professionals can offer support in reframing and presenting counterstories that maintain identities that can potentially be marginalised, silenced and open to narrative foreclosure. This process requires health professionals to be attentive and responsive to how patients with dementia and their supporters construct and position the stories they tell and the meaning(s) they attach to them. (shrink)

There is a death by suicide in the world every 40 seconds, and suicide is the second leading cause of death for 15–29-year-olds. Experts say that one of the best ways to prevent suicide is for those in distress to hear from people who care about them. Facebook is in a unique position—through its support for networks and friendships on the site—to help connect a person in these difficult situations with people who can support them. Connecting people with the resources (...) they need is part of Facebook’s ongoing efforts to help build a safe community inside and outside of Facebook. This article provides a brief overview of how Facebook’s work to develop suicide prevention tools started and evolved, and the ethical considerations which surfaced during the process in the form of concrete product decisions around the implementation of these tools. This article is structured into three sections. Section 1 reviews what has been done in this space and lists and briefly describes other suicide prevention apps and tools. Section 2 describes Facebook’s overall approach to suicide prevention. Here, we’ll delve first into how that approach originated and how it was influenced by the external community’s proactive interactions with Facebook, highlighting our unique position to help address the problem. Afterwards, we’ll explain how that approach evolved, describing its various stages and iterations: understanding, reactive reporting, queue prioritization, and proactive reporting. This section describes the tools and resources Facebook has developed for people who may be at risk. Particular attention is devoted to the use of ArtificiaI Intelligence and Machine Learning to detect posts or live videos where someone might be expressing thoughts of suicide. Section 3 will elaborate on the ethical questions addressed when developing our approach and when making concrete product decisions to implement our suicide prevention tools. In this last section, we’ll expound the competing values and interests that were at stake during the product development process, and how we reached ethical balances between them. (shrink)

Quelqu'un sait quelque chose, voila la situation de depart de toute problematique cognitive. Dans toute situation cognitive, un sujet connaissant se trouve en relation cognitive avec un objet connu. Contrairement a l'approche analytique suivie par les disciplines cognitives classiques - logique, epistemologie, psychologie cognitive, et aujourd'hui l'intelligence artificielle - qui detachent l'objet de leur recherche de son contexte d'origine, la demarche de ce livre est integrante. Elle entend ne pas couper la problematique cognitive des situations cognitives effectives dans lesquelles (...) cette problematique prend corps et se deploie. (shrink)

The small nation-state of Singapore has increasingly been referred to in the popular media as the Intelligent Island of the future. With significant state investment in the promotion and dissemination of information-communications technology and attendant social ramifications, this has become an area that can no longer be ignored or taken for granted. This article intends to map the conditions of possibility on which Singapore can be conceived of as an Intelligent Island, in situating the role of information technology and Intelligent (...) Island discourse within the discourses of postcoloniality, technocapitalism, late modernity, and globalization. In particular, this article attempts to show how, in Intelligent Island discourse, the processes of the construction of a Singaporean nation are intricately linked to the shift in political discourse from mobilizing a rhetoric of crisis to one of utopianism. (shrink)