The article addresses the problem of identifying methods to develop the ability of artificial intelligence (AI) systems to provide explanations for their findings. This issue is not new, but, nowadays, the increasing complexity of AI systems is forcing scientists to intensify research in this direction. Modern neural networks contain hundreds of layers of neurons. The number of parameters of these networks reaches trillions, genetic algorithms generate thousands of generations of solutions, and the semantics of AI models become more complicated, going (...) to the quantum and non-local levels. The world’s leading companies are investing heavily in creating explainable AI (XAI). However, the result is still unsatisfactory: a person often cannot understand the “explanations” of AI because the latter makes decisions differently than a person, and perhaps because a good explanation is impossible within the framework of the classical AI paradigm. AI faced a similar problem 40 years ago when expert systems contained only a few hundred logical production rules. The problem was then solved by complicating the logic and building added knowledge bases to explain the conclusions given by AI. At present, other approaches are needed, primarily those that consider the external environment and the subjectivity of AI systems. This work focuses on solving this problem by immersing AI models in the social and economic environment, building ontologies of this environment, taking into account a user profile and creating conditions for purposeful convergence of AI solutions and conclusions to user-friendly goals. (shrink)

Looking back on the development of computer technology, particularly in the context of manufacturing, we can distinguish three big waves of technological exuberance with a wave length of roughly 30 years: In the first wave, during the 1950s, mainframe computers at that time were conceptualized as “electronic brains” and envisaged as central control unit of an “automatic factory”. Thirty years later, during the 1980s, knowledge-based systems in computer-integrated manufacturing were adored as the computational core of the “unmanned factory”. Both waves (...) dismally stranded on the contumacies of reality. Nevertheless, again thirty years later, we now experience the departure of the “smart factory” based on networks of “artificially intelligent” multi-agent or “cyber-physical systems”. From the very beginning, these technological exuberances rooted in mistaken metaphors describing the artifacts and, hence, in delusions about the true nature of computer systems. The behaviour of computers is, as computing science teaches us, strictly restrained to executing computable functions by means of algorithms, it thus neither resembles the performance of a brain as part of a complex sensitive living body nor is it in any meaningful sense “knowledgeable” or “intelligent”. When the delusion of being able to implement “smart factories”, despite the countless accomplishment failures before, gains momentum anew, it appears absolutely essential to reflect on underlying misconceptions. (shrink)

The article examines the impact of contemporary intellectual technologies on human subjectivity through the lens of 20th-century philosophical reflection. It explores the transformation of the relationship between humans and technology in a context where technological systems transcend the traditional understanding of technology as merely an extension of human capabilities. Drawing on the conceptual framework of the philosophy of technology (M. Heidegger, J. Ortega y Gasset, J. Ellul, H. Marcuse), the author identifies three key aspects of this transformation. First, the (...) article considers the process by which various facets of human activity – cognitive processes, emotional reactions, social relationships, and creativity – are transformed into “standing-reserve” (Bestand) for technological systems. Second, it analyzes the phenomenon of the erosion of practices that reproduce and develop human experience, as evidenced by the standardization of cognitive processes, the emergence of intellectual dependency, and cultural homogenization. Third, it investigates the problem of technological determinism, which, in the context of intellectual technologies, takes on the character of not merely an external constraint but an active construction of human subjectivity, agency. Special attention is given to the mechanisms through which intellectual technologies transform processes of identity formation, decision-making, and social interaction. Furthermore, the article considers the intersubjective interaction between humans and intellectual technology, emphasizing that an imbalance in this relationship may lead to the erosion of human subjectivity. In closing, the article advocates for the development of new approaches to the legal regulation of intellectual technologies to preserve the balance between technological advancement and the maintenance of human autonomy. The author concludes that the relationship between humans and intellectual technologies has become a central issue in contemporary philosophical anthropology: preserving human subjectivity in the era of artificial intelligence will require a critical rethinking and partial transformation of traditional conceptions of human nature, values, and the normative foundations of human activity. (shrink)

It is a popular view thatpractical deliberation excludes foreknowledge of one's choice. Wolfgang Spohn and Isaac Levi have argued that not even a purely probabilistic self-predictionis available to thedeliberator, if one takes subjective probabilities to be conceptually linked to betting rates. It makes no sense to have a betting rate for an option, for one's willingness to bet on the option depends on the net gain from the bet, in combination with the option's antecedent utility, rather than on the offered (...) odds. And even apart from this consideration, assigning probabilities to the options among which one is choosing is futile since such probabilities could be of no possible use in choice. The paper subjects these arguments to critical examination and suggests that, appearances notwithstanding, practical deliberation need not crowd outself-prediction. (shrink)

This study aimed to explore the mediating role of emotional regulation strategies in the relationship between emotional intelligence and subjective well-being among Chinese university teachers, and evaluate whether effort-reward imbalance moderated the mediating effect of emotional regulation strategies. A total of 308 Chinese university teachers were recruited for this study. The results showed that emotional regulation strategies played a partial mediating role in the relationship between EI and SWB. Moreover, an effort-reward imbalance moderated the relationship between emotional regulation strategies and (...) SWB. For individuals with more balanced perceptions, EI had a significant effect on SWB via cognitive reappraisal, while for individuals with more imbalanced perceptions, EI did not have a significant effect on SWB via cognitive reappraisal. These findings provide a better understanding of the effects of EI and emotional regulation strategies on SWB, which could provide interventions for promoting SWB among teachers. (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)

This paper argues that AI follows classical versions of epistemology in assuming that the identity of the knowing subject is not important. In other words this serves to `delete the subject''. This disguises an implicit hierarchy of knowers involved in the representation of knowledge in AI which privileges the perspective of those who design and build the systems over alternative perspectives. The privileged position reflects Western, professional masculinity. Alternative perspectives, denied a voice, belong to less powerful groups including women. Feminist (...) epistemology can be used to approach this from new directions, in particular, to show how women''s knowledge may be left out of consideration by AI''s focus on masculine subjects. The paper uncovers the tacitly assumed Western professional male subjects in two flagship AI systems, Cyc and Soar. (shrink)

Does artificial intelligence (AI) exhibit consciousness or self? While this question is hotly debated, here we take a slightly different stance by focusing on those features that make possible both, namely a basic or fundamental subjectivity. Learning from humans and their brain, we first ask what we mean by subjectivity. Subjectivity is manifest in the perspectiveness and mineness of our experience which, ontologically, can be traced to a point of view. Adopting a non-reductive neurophilosophical strategy, we assume (...) that the point of view exhibits two layers, a most basic neuroecological and higher order mental layer. The neuroecological layer of the point of view is mediated by the timescales of world and brain, as further evidenced by empirical data on our sense of self. Are there corresponding timescales shared with the world in AI and is there a point of view with perspectiveness and mineness? Discussing current neuroscientific evidence, we deny that current AI exhibits a point of view, let alone perspectiveness and mineness. We therefore conclude that, as per current state, AI does not exhibit a basic or fundamental subjectivity and henceforth no consciousness or self is possible in models such as ChatGPT and similar technologies. (shrink)

The study aims to identify the adequacy of the UAE Commercial Law in 2023 in regulating artificial intelligence as a subject of the contract, This will be done by searching for the way in which the UAE legislator intervened to control the good and effective use of artificial intelligence, whether it was able to reconcile between protecting the interests of the parties to the transaction and encouraging technological development and investment in artificial intelligence to achieve the goals of the National (...) Strategy for Artificial Intelligence. Then, the cases of using artificial intelligence as a subject for commercial transactions will be highlighted, because artificial intelligence is considered one of the funds and products that can be the subject of commercial transactions between professional traders, which remain subject to the applicable legislation, even those that link the trader to the consumer due to the availability of the elements of the consumer process in this type of transaction, which is concerned with protecting the consumer because the consumer transaction must be carried out with transparency and responsibility. However, as a result of the privacy of such transactions, the current legislation does not appear sufficient, but rather work must be done to establish legislative provisions to control dealings in artificial intelligence at the local and international levels to govern artificial intelligence. (shrink)

The early examples of self-directing robots attracted the interest of both scientific and military communities. Biologists regarded these devices as material models of animal tropisms. Engineers envisaged the possibility of turning self-directing robots into new “intelligent” torpedoes during World War I. Starting from World War II, more extensive interactions developed between theoretical inquiry and applied military research on the subject of adaptive and intelligent machinery. Pioneers of Cybernetics were involved in the development of goal-seeking warfare devices. But collaboration (...) occasionally turned into open dissent. Founder of Cybernetics Norbert Wiener, in the aftermath of World War II, argued against military applications of learning machines, by drawing on epistemological appraisals of machine learning techniques. This connection between philosophy of science and techno-ethics is both strengthened and extended here. It is strengthened by an epistemological analysis of contemporary machine learning from examples; it is extended by a reflection on ceteris paribus conditions for models of adaptive behaviours. (shrink)

This paper reflects on the problem of endowing Artificial Intelligence with legal subjectivity, especially with regard to civil law. It is necessary to reject the myth that the criteria of legal subjectivity are sentience and reason. Arguing that AI may have potential legal subjectivity based on an analogy to animals or juristic persons suggests the existence of a single hierarchy or sequence of entities, organized according to their degree of similarity to human beings; also, that the place (...) of an entity in this hierarchy determines the scope of subjectivity attributed to it. Rather, it is participation or presence in social life, whatever the role, that is the true criterion of subjectivity. In addition, it is clear that even if AI is not currently a significant participant in social life, it will be in the nearest future. Despite the potential dangers associated with endowing AI with some kind of subjectivity, such a course is inescapable, and should be considered sooner rather than later. (shrink)

Why are computers so smart these days? And why are humans apparently still a bit smarter? Does this have something to do with the difference between data and meaning? Does this in turn mean that at least some abstract entities, such as numbers, exist independently of human thought? Wouldn’t that require an expansion of our scientific world view? And would that at all be compatible with what we know about our world from physics and chemistry, philosophy, psychology, neuroscience and the (...) theory of evolution? Finally, what would this tell us about ethical and aesthetic value theories? These and related questions will be discussed in this book. We will find that the difference between data and meaning, i.e. quantitative and qualitative information, does indeed appear to be of central importance for understanding both artificial and natural intelligence. And then the independent existence of abstract entities not only appears to be a particularly promising hypothesis, but also one that is entirely compatible with the sum of our scientific knowledge, especially with regard to value theories. The book thus arrives at the exploration of a scientifically tenable, panpsychistically inspired, objective idealism that can be derived from our most fundamental intuitions as subjects that perceive qualities, but that can also take into account the structuring of the world already at the micro-scale, found in the modern natural sciences. The result is a Platonic, but in a second step also a scientific realism and a naturalism in the sense that it is informed by the natural sciences in terms of an inductive metaphysics. An objective idealism, not in a rationalistic maximum form, but in a pragmatic minimum form; without eternal truths, but dependent on the continued philosophical-scientific and also philosophicalsocial dialog. The proposed model could offer interesting solutions to a number of problems at and near the mind/matter boundary: Proposals are being considered for the interpretation of quantum mechanics, the problem of molecular symmetry, the neuronal code and the binding problem in neuroscience, mental causation, a more holistic understanding of mental processes, and so on and so forth. However, the extent to which the model threatens to promise far too much is also being discussed. In sum, the core question is how we can imagine human thinking beyond physically conceived information processing. An alternative model of human thinking is then put up for discussion, for which not only machine-like cognitive performance, but above all the intentional perception of qualitative information, i.e. of abstract entities, would be central, as well as the free, ultimately creative linking of patterns of quantitative information (signals, data) with such qualities (meanings). (shrink)

1. WHAT IS ARTIFICIAL INTELLIGENCE? One of the fascinating aspects of the field of artificial intelligence (AI) is that the precise nature of its subject ..

The subject of this study is the participants in artificial sociality (humans and artificial intelligence (AI) tools) and communication between them. The first section analyses (using Luhmann’s methodology) communication as the basis of sociality. The second section shows how AI tools became social technologies in the framework of artificial sociality. The third section describes experimental communication between authors and AI tools (the case of ChatGPT). For the first time in the Baltic countries, the authors examined sociological, humanitarian, natural and technological (...) aspects of the functioning AI tools, which participate in creation of a new social reality for human society – artificial sociality. (shrink)

In mid-twentieth century, the hypothesis, ‘a machine can think’ became very popular after, Alan Turing’s article on ‘Computing Machinery and Intelligence’. This hypothesis, ‘a machine can think’ established the foundations of machine intelligence (MI), and claimed that machines have consciousness and creativity, with the power to compete with human beings. In the first section, I shall show how consciousness and creativity is conceptualized in the domain of MI. The main aim of MI is not only to construct difficult programs to (...) solve our day-to-day problems, but also to reproduce mentality in machines. It was claimed that all the mental qualities are ascribable to machines. My intention in this paper is to clarify consciousness and creativity from a subjective point of view. My claim is that consciousness and creativity cannot be fully represented in a mechanistic domain. There are subjective mental or conscious states, which can be seen in a first-person perspective of their proper understanding. (shrink)

ObjectiveTo examine subjective and objective socioeconomic status as predictors, cognitive abilities as confounders, and personal control perceptions as mediators of health behaviours.DesignA cross-sectional study including 197 participants aged 30–50 years, recruited from the crowd-working platform, Prolific.Main Outcome MeasureThe Good Health Practices Scale, a 16-item inventory of health behaviours.ResultsSSES was the most important predictor of health behaviours. Among the OSES indicators, education, but not income, predicted health behaviours. Intelligence and memory were negatively correlated with health-promoting behaviours, and the effect of memory (...) was upheld in the multivariate model. Personal control perceptions did not act as mediators.ConclusionSSES predicted health behaviours beyond OSES. The effect of socioeconomic indicators was not confounded by cognitive abilities. Surprisingly, cognitive abilities were negatively associated with health-promoting behaviours. Future research should emphasise SSES as a predictor of health behaviours. Delineating the psychological mechanisms linking SSES with health behaviours would be a valuable contribution toward improved understanding of socioeconomic disparities in health behaviours. (shrink)

The intelligibility of nature was a persistent theme of William A. Wallace, OP, one of the most prolific Catholic scholars of the late twentieth century. This Reader aims to make available a representative selection of his work in the history of science, natural philosophy, and theology illustrating his defense and development of this central theme. Wallace is among the most important Galileo scholars of the past fifty years and a key figure in the recent revival of scientific realism. Further, his (...) long and productive scholarly career has been shaped by a continuous effort to bring the resources of the Aristotelian-Thomistic tradition to the solution of contemporary problems of philosophy and science. Through all of these contributions, Wallace has provided the foundation for a renewed confidence in the capacity of human knowers to attain understanding of the natural order. Consequently, the overall aim of this volume is to secure continued access to his scholarship for readers in the new millennium. Intelligibility of Nature will contain twenty-nine previously published essays written by Wallace over a period of some forty years. Many of these essays are currently not readily accessible. They are arranged in five thematic groups, each representing a major subject-area of Wallace's scholarly interests. The first group is devoted to essays on making nature intelligible through the use of scientific models. The second group of essays investigates various ways in which the Aristotelian-Thomistic tradition is foundational to contemporary scientific research. Essays in the third group are historical studies on the origins of modern science. The fourth group of essays discuss the viability of the cosmological argument for the existence of God in light of natural science. The final group of essays consider the relation of science and religion. Together these essays provide a representative sample of Wallace's multifaceted contributions to scholarship. (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)

Recently, due to the rapid progress of computer technology, researchers develop an effective computer program to enhance the achievement of the student in learning process, which is Intelligent Tutoring System (ITS). Science is important because it influences most aspects of everyday life, including food, energy, medicine, leisure activities and more. So learning science subject at school is very useful, but the students face some problem in learning it. So we designed an ITS system to help them understand this subject (...) easily and smoothly by analyzing it and explaining it in a systematic way. In this paper, we describe the design of an Intelligent Tutoring System for teaching science for grade seven to help students know the 7 characteristics for living things smoothly. The system provides all topics of living things and generates some questions for each topic and the students should answer these questions correctly to move to the next level. In the result of an evaluation of the ITS, students like the system and they said that it is very useful for them and for their studies. (shrink)

The purpose of this book, originally published in 1987, was to contribute to the advance of artificial intelligence by clarifying and removing the major sources of philosophical confusion at the time which continued to preoccupy scientists and thereby impede research. Unlike the vast majority of philosophical critiques of AI, however, each of the authors in this volume has made a serious attempt to come to terms with the scientific theories that have been developed, rather than attacking superficial 'straw men' which (...) bear scant resemblance to the complex theories that have been developed. For each is convinced that the philosopher's responsibility is to contribute from his own special intellectual point of view to the progress of such an important field, rather than sitting in lofty judgement dismissing the efforts of their scientific peers. The aim of this book is thus to correct some of the common misunderstandings of its subject. The technical term Artificial Intelligence has created considerable unnecessary confusion because of the ordinary meanings associated with it, and for that very reason, the term is endlessly misused and abused. The essays collected here all aim to expound the true nature of AI, and to remove the ill-conceived philosophical discussions which seek answers to the wrong questions in the wrong ways. Philosophical discussions and decisions about the proper use of AI need to be based on a proper understanding of the manner in which AI-scientists achieve their results; in particular, in their dependence on the initial planning input of human beings. The collection combines the Anglo-Saxon school of analytical philosophy with scientific and psychological methods of investigation. The distinguished authors in this volume represent a cross-section of philosophers, psychologists, and computer scientists from all over the world. The result is a fascinating study in the nature and future of AI, written in a style which is certain to appeal and inform laymen and specialists alike. has created considerable unnecessary confusion because of the ordinary meanings associated with it, and for that very reason, the term is endlessly misused and abused. The essays collected here all aim to expound the true nature of AI, and to remove the ill-conceived philosophical discussions which seek answers to the wrong questions in the wrong ways. Philosophical discussions and decisions about the proper use of AI need to be based on a proper understanding of the manner in which AI-scientists achieve their results; in particular, in their dependence on the initial planning input of human beings. The collection combines the Anglo-Saxon school of analytical philosophy with scientific and psychological methods of investigation. The distinguished authors in this volume represent a cross-section of philosophers, psychologists, and computer scientists from all over the world. The result is a fascinating study in the nature and future of AI, written in a style which is certain to appeal and inform laymen and specialists alike. inform laymen and specialists alike. (shrink)

AI enters more and more spheres of personal and public life, the topic becomes the object of much discussion. The expanding possibilities of these technologies give rise to the need to introduce ethical and legal regulation in order to control them. Hence the question arises as to how far a system can be considered an autonomous entity, similar to the individual possessing this capability. This article examines the question of whether a system with artificial intelligence can be considered a subject (...) in ethical and legal aspect. The aim is to demonstrate the difference between human thinking and behaviour and the activities performed by AI systems in order to outline a framework with ethical and legal norms governing the creation and use of AI. By applying a multidisciplinary approach combining the analysis of philosophical and legal notions of the subject, concepts such as intellect, autonomy, moral and legal responsibility are explored. The conclusion is that no matter how developed these systems are, they cannot be defined as subjects because they cannot perform fully conscious acts and cannot be held morally or legally responsible. (shrink)

Intelligence allows people to understand events and to shape their surrounding environment. This book delves deeper into the theories and applications of intelligence, showing it is a multifaceted concept —defined and explained differently by prestigious experts of various disciplines in their own research. The book provides interdisciplinary connections of intelligence as it relates to a variety of clearly outlined subject areas, and should lead to a deep understanding of the phenomenon as it pertains to practical applications in different domains. Contributors (...) in this volume present results from evolutionary biology, mathematics, artificial intelligence, medicine, psychology, cultural studies, economy, political sciences and philosophy. Individual scientific models are integrated in an interdisciplinary concept of wisdom. This volume will help enhance the common understanding of intelligence for fellow researchers and scientists alike. (shrink)

Monetary Intelligence theory asserts that individuals apply their money attitude to frame critical concerns in the context and strategically select certain options to achieve financial goals and ultimate happiness. This study explores the bright side of Monetary Intelligence and behavioral economics, frames money attitude in the context of pay and life satisfaction, and controls money at the macro-level and micro-level. We theorize: Managers with low love of money motive but high stewardship behavior will have high subjective well-being: pay satisfaction and (...) quality of life. Data collected from 6586 managers in 32 cultures across six continents support our theory. Interestingly, GDP per capita is related to life satisfaction, but not to pay satisfaction. Individual income is related to both life and pay satisfaction. Neither GDP nor income is related to Happiness. Our theoretical model across three GDP groups offers new discoveries: In high GDP entities, “high income” not only reduces aspirations—“Rich, Motivator, and Power,” but also promotes stewardship behavior—“Budget, Give/Donate, and Contribute” and appreciation of “Achievement.” After controlling income, we demonstrate the bright side of Monetary Intelligence: Low love of money motive but high stewardship behavior define Monetary Intelligence. “Good apples enjoy good quality of life in good barrels.” This notion adds another explanation to managers’ low magnitude of dishonesty in entities with high Corruption Perceptions Index. In low GDP entities, high income is related to poor Budgeting skills and escalated Happiness. These managers experience equal satisfaction with pay and life. We add a new vocabulary to the conversation of monetary intelligence, income, GDP, happiness, subjective well-being, good and bad apples and barrels, corruption, and behavioral ethics. (shrink)

In this paper I wish to discuss a problem which, though it has not in the recent past attracted the attention of many philosophers, nevertheless, in my opinion, belongs quite clearly to that branch of the subject which should rightly be called “philosophy of history”: the problem, namely, of history's intelligibility. Two main questions can be asked about this which it is important that philosophers should answer. The first is that of whether history is intelligible in the sense that we (...) can find intelligible connections bètween all or any of its parts. The significance of this question is apparent enough; for has not one of the philosopher's most pressing problems since Hume's time been that of whether any such connections are traceable in the world of fact? It is true that almost every theory on this subject has been put forward after a consideration of the sphere of physical nature only; but because this procedure has been universally followed, it is not therefore to be accepted as right. For history too offers us facts, and it is at least possible that these differ in important ways from those to be met with in nature, with the result that we can discover other sorts of connection between them than those which the physical sciences recognize. The possibility would seem to be worth investigation, and it is with it that I shall be concerned in the first part of my paper. In the other half I deal with the second main question about historical intelligibility. Supposing that we can find some cases of historical events being intrinsically, i.e. intelligibly related, we can go on to ask whether history is intelligible in a more ultimate sense. Is history, we can now inquire, a thing which is essentially rational, or is the rationality we can find in it of a merely superficial character? To put the problem somewhat more fully, is the historian able to do more than see intrinsic connections between the events which he investigates: can he go further and understand the course of history as a whole, so that he is able to say, in the popular phrases, that history “makes sense,” is “meaningful” and “has rhyme and reason” in it? It seems to me that this is a matter which certainly ought to be discussed by philosophers, if only for the assertion of history's rationality which some philosophers have made. (shrink)

Monetary intelligence theory asserts that individuals apply their money attitude to frame critical concerns in the context and strategically select certain options to achieve financial goals and ultimate happiness. This study explores the dark side of monetary Intelligence and behavioral economics—dishonesty. Dishonesty, a risky prospect, involves cost–benefit analysis of self-interest. We frame good or bad barrels in the environmental context as a proxy of high or low probability of getting caught for dishonesty, respectively. We theorize: The magnitude and intensity of (...) the relationship between love of money and dishonest prospect may reveal how individuals frame dishonesty in the context of two levels of subjective norm—perceived corporate ethical values at the micro-level and Corruption Perceptions Index at the macro-level, collected from multiple sources. Based on 6382 managers in 31 geopolitical entities across six continents, our cross-level three-way interaction effect illustrates: As expected, managers in good barrels, mixed barrels, and bad barrels display low, medium, and high magnitude of dishonesty, respectively. With high CEV, the intensity is the same across cultures. With low CEV, the intensity of dishonesty is the highest in high CPI entities —the Enron Effect, but the lowest in low CPI entities. CPI has a strong impact on the magnitude of dishonesty, whereas CEV has a strong impact on the intensity of dishonesty. We demonstrate dishonesty in light of monetary values and two frames of social norm, revealing critical implications to the field of behavioral economics and business ethics. (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)

Touch requires that one move in concert with one's tactile object. This provokes the question how joint movement of this sort yields perception of tactile qualities of the object vs. tactile qualities of an object-augmented body. Phenomenological analysis together with results of dynamic systems theory (in psychology) suggest that the difference stems from 'resonant' vs. 'reverberant' modalities of body-object movement. The further suggestion is that tactile movement is itself a form of discriminative intelligence, and that the peculiar intimacy of touch (...) and movement can shed light on a general role of movement in perception, subject-object relations, and intelligence. (shrink)

In this contribution we will explore some of the implications of the vision of Ambient Intelligence (AmI) for law and legal philosophy. AmI creates an environment that monitors and anticipates human behaviour with the aim of customised adaptation of the environment to a person’s inferred preferences. Such an environment depends on distributed human and non-human intelligence that raises a host of unsettling questions around causality, subjectivity, agency and (criminal) liability. After discussing the vision of AmI we will present relevant (...) research in the field of philosophy of technology, inspired by the post-phenomenological position taken by Don Ihde and the constructivist realism of Bruno Latour. We will posit the need to conceptualise technological normativity in comparison with legal normativity, claiming that this is necessary to develop democratic accountability for the implications of emerging technologies like AmI. Lastly we will investigate to what extent technological devices and infrastructures can and should be used to achieve compliance with the criminal law, and we will discuss some of the implications of non-human distributed intelligence for criminal liability. (shrink)

Artificial Intelligence (AI) is a high-profile subject these days. In its brief history it has undergone several highs and lows and suffered from significant degrees of hype as well as antagonism and fear. One thing is clear: we are no closer to the goal of producing a truly sentient being than when it started. Nonetheless, the tools developed by AI researchers are here to stay and as with all technological advances it has its good and bad aspects. In this article (...) I will present a brief overview of the field of AI looking at what it is, how it developed, what are its specialism as well as some of its well-publicised successes, and failures, as well as pointing out some key Christian participants in the story. (shrink)

Neuroscientists have formulated the model of emotional intelligence based on brain imaging findings of individual differences in EI. The main objective of our study was to operationalize the advantage of high EI individuals in emotional information processing and regulation both at behavioral and neural levels of investigation. We used a self-report measure and a cognitive reappraisal task to demonstrate the role of EI in emotional perception and regulation. Participants saw pictures with negative or neutral captions and shifted from negative context (...) to neutral while we registered brain activation. Behavioral results showed that higher EI participants reported more unpleasant emotions. The Utilization of emotions scores negatively correlated with the valence ratings and the subjective difficulty of reappraisal. In the negative condition, we found activation in hippocampus, parahippocampal gyrus, cingulate cortex, insula and superior temporal lobe. In the neutral context, we found elevated activation in vision-related areas and HC. During reappraisal condition, we found activation in the medial frontal gyrus, temporal areas, vision-related regions and in cingulate gyrus. We conclude that higher EI is associated with intensive affective experiences even if emotions are unpleasant. Strong skills in utilizing emotions enable one not to repress negative feelings but to use them as source of information. High EI individuals use effective cognitive processes such as directing attention to relevant details; have advantages in allocation of cognitive resources, in conceptualization of emotional scenes and in building emotional memories; they use visual cues, imagination and executive functions to regulate negative emotions effectively. (shrink)

Folk psychology affirms the existence of a persistent, unitary self at the center of each individual’s mental life. Darwinian psychologists have challenged this view with the selfish gene and selfish meme theories of the mind. Both theories claim that cognition arises from the interaction of blind, selfish replicators (genes or memes) and that the enduring self is an illusion. I argue that both theories suffer from an implausible atomism and an inability to explain human reasoning, subjectivity, points of view, (...) and psychological unity. By contrast, a psychology premised on Intelligent Design is able to account for all these problems. (shrink)

Intelligent Tutoring Systems (ITS) has a wide influence on the exchange rate, education, health, training, and educational programs. In this paper we describe an intelligent tutoring system that helps student study computer networks. The current ITS provides intelligent presentation of educational content appropriate for students, such as the degree of knowledge, the desired level of detail, assessment, student level, and familiarity with the subject. Our Intelligent tutoring system was developed using ITSB authoring tool for building ITS. (...) A preliminary evaluation of the ITS was done by a group of students and teachers. The results were acceptable. (shrink)

Before embarking on a discussion of the regulation of artificial intelligence (AI), it is first necessary to define the subject matter regulated. Defining artificial intelligence is a difficult endeavour, and many definitions have been proposed over the years. Although more than 70 years have passed since it was adopted, the most convincing definition is still nonetheless that proposed by Turing; in any case, it is important to be mindful of the risk of anthropomorphising artificial intelligence, which may arise in particular (...) from its very definition. Once we have established the subject matter regulated, we must ask ourselves whether lawmakers should pursue an approach that seeks to regulate artificial intelligence as a whole, or whether by contrast they should regulate applications of artificial intelligence in specific sectors or individual areas. The proposal for a regulation on artificial intelligence published on 21 April 2021 implements the former approach whilst also pursuing geopolitical goals. After providing an initial overview of the notion of artificial intelligence, this article investigates the geopolitical context to the proposal for a regulation, and then goes on to illustrate the regulatory model embraced by the proposal as well as related critical aspects. (shrink)

The intelligibility of nature was a persistent theme of William A. Wallace, OP, one of the most prolific Catholic scholars of the late twentieth century. This Reader aims to make available a representative selection of his work in the history of science, natural philosophy, and theology illustrating his defense and development of this central theme. Wallace is among the most important Galileo scholars of the past fifty years and a key figure in the recent revival of scientific realism. Further, his (...) long and productive scholarly career has been shaped by a continuous effort to bring the resources of the Aristotelian-Thomistic tradition to the solution of contemporary problems of philosophy and science. Through all of these contributions, Wallace has provided the foundation for a renewed confidence in the capacity of human knowers to attain understanding of the natural order. Consequently, the overall aim of this volume is to secure continued access to his scholarship for readers in the new millennium. -/- Intelligibility of Nature contains twenty-nine previously published essays written by Wallace over a period of some forty years. Many of these essays are currently not readily accessible. They are arranged in five thematic groups, each representing a major subject-area of Wallace's scholarly interests. The first group is devoted to essays on making nature intelligible through the use of scientific models. The second group of essays investigates various ways in which the Aristotelian-Thomistic tradition is foundational to contemporary scientific research. Essays in the third group are historical studies on the origins of modern science. The fourth group of essays discuss the viability of the cosmological argument for the existence of God in light of natural science. The final group of essays consider the relation of science and religion. Together these essays provide a representative sample of Wallace's multifaceted contributions to scholarship. (shrink)

It is often held that, in contrast to Husserl, Heidegger's account of intentionality makes no essential reference to the first- person stance. This paper argues, on the contrary, that an account of the first- person, or 'subjectivity', is crucial to Heidegger's account of intelligibility and so of the intentionality, or 'aboutness' of our acts and thoughts, that rests upon it. It first offers an argument as to why the account of intelligibility in Division I of Being and Time, based (...) on a form of third- person self-awareness, provides a necessary, but not a sufficient, condition for intentionality. It then shows that Heidegger provides a further necessary condition in his analysis of the collapse of the one-self in Division II. This condition is 'conscience', which is both a genuine first- person mode of self-awareness and, it is argued, the origin of reason as that which distinguishes factic 'grounds' from normative 'justifications'. (shrink)

We present an approach to subjective computing for the design of future robots that exhibit more adaptive and flexible behavior in terms of subjective intelligence. Instead of encapsulating subjectivity into higher order states, we show by means of a relational approach how subjective intelligence can be implemented in terms of the reciprocity of autonomous self-referentiality and direct world-coupling. Subjectivity concerns the relational arrangement of an agent’s cognitive space. This theoretical concept is narrowed down to the problem of coaching (...) a reinforcement learning agent by means of binary feedback. Algorithms are presented that implement subjective computing. The relational characteristic of subjectivity is further confirmed by a questionnaire on human perception of robot’s behavior. The results imply that subjective intelligence cannot be externally observed. In sum, we conclude that subjective intelligence in relational terms is fully tractable and therefore implementable in artificial agents. (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)

The paper calls for a re-evaluation of physical education’s cognitive value claims, as this issue is fundamental to many of the conceptual difficulties the subject faces. Current epistemological challenges are reviewed before analysing the structural connections between intelligent practice and intelligent virtues, and the possibilities for physical education to better articulate its’ intrinsic and instrumental values claims. The paper evaluates arguments made on this basis and reviews revised curriculum planning and pedagogical practices, which could support an enhanced focus (...) on learners’ wider aspirations and achievements; factors crucial for a virtuous life. While applauding enquiry into the possibilities for considering physical education as a moral endeavor, the paper raises concerns about conceptual clarity in intellectual and empirical accounts of virtue. The paper concludes by advocating further research on the interrelationship between intellectual and empirical accounts of skill, evaluation of learners’ decision-making and the aims of physical education and school sport programmes. (shrink)

Are intelligent machines really intelligent? Is the underlying philosoph- ical concept of intelligence satisfactory for describing how the present systems work? Is understanding a necessary and sufficient condition for intelligence? If a machine could understand, should we attribute subjectivity to it? This paper addresses the problem of deciding whether the so-called ”intelligent machines” are capable of understanding, instead of merely processing signs. It deals with the relationship between syntax and semantics. The main thesis concerns the inevitability (...) of semantics for any discussion about the possibility of building conscious machines, condensed into the following two tenets: ”If a machine is capable of understanding (in the strong sense), then it must be capable of combining rules and intuitions”; “If semantics cannot be reduced to syntax, then a machine cannot understand.” Our conclusion states that it is not necessary to attribute understanding to a machine in order to explain its exhibited “intelligent” behavior; a merely syntactic and mechanistic approach to intelligence as a task-solving tool suffices to justify the range of operations that it can display in the current state of technological development. (shrink)

Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and used (...) by humans. This includes issues of privacy (§2.1) and manipulation (§2.2), opacity (§2.3) and bias (§2.4), human-robot interaction (§2.5), employment (§2.6), and the effects of autonomy (§2.7). Then AI systems as subjects, i.e., ethics for the AI systems themselves in machine ethics (§2.8) and artificial moral agency (§2.9). Finally, the problem of a possible future AI superintelligence leading to a “singularity” (§2.10). We close with a remark on the vision of AI (§3). - For each section within these themes, we provide a general explanation of the ethical issues, outline existing positions and arguments, then analyse how these play out with current technologies and finally, what policy consequences may be drawn. (shrink)

In 2021, 193 Member States at UNESCO’s General Conference adopted the Recommendation on the Ethics of Artificial Intelligence as the first important step towards a future global standard-setting instrument on the subject. The text reflects an emerging consensus among the international community about the growing ethical concerns with artificial intelligence (AI). Among these concerns are also serious risks and dangers attributed to the manipulative effects of AI, which can be further exacerbated by the creative combination of AI with other innovative (...) technologies or applications, such as brain–computer interfaces (BCIs), functional magnetic resonance imaging (fMRI), robotics, and big data. The risks for individuals and society as a whole caused by manipulation through AI are already well known and have recently also been addressed by the European Union having released a proposal for an Artificial Intelligence Act (AIA). Among multiple risks related to AI, the AIA singles out the specific dangers related to AI systems that deploy “subliminal techniques beyond a person’s consciousness to materially distort a person’s behaviour in a manner that causes or is likely to cause that person or another person physical or psychological harm”. The present article thus aims to highlight the known and potential dangers related to AI systems manipulating human thoughts and behaviour through subliminal and supraliminal means and methods. To this end, it advocates the joint study of law and the senses captured by the concept of legal synaesthesia to correspond to the need for an interdisciplinary debate covering the complexity of the links between AI, related technologies, human perception based on the senses and the mind, as well as the role and instruments of law in the future organization of societies in this world. (shrink)

'if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which (...) have blurred the boundaries. Topics covered include: how intelligence can be defined whether machines can 'think' sensory input in machine systems the nature of consciousness the controversial culturing of human neurons. Exploring issues at the heart of the subject, this book is suitable for anyone interested in AI, and provides an illuminating and accessible introduction to this fascinating subject. (shrink)

Following the studies of Araujo et al. (AI Soc 35:611–623, 2020) and Lee (Big Data Soc 5:1–16, 2018), this empirical study uses two scenario-based online experiments. The sample consists of 221 subjects from Germany, differing in both age and gender. The original studies are not replicated one-to-one. New scenarios are constructed as realistically as possible and focused on everyday work situations. They are based on the AI acceptance model of Scheuer (Grundlagen intelligenter KI-Assistenten und deren vertrauensvolle Nutzung. Springer, Wiesbaden, 2020) (...) and are extended by individual descriptive elements of AI systems in comparison to the original studies. The first online experiment examines decisions made by artificial intelligence with varying degrees of impact. In the high-impact scenario, applicants are automatically selected for a job and immediately received an employment contract. In the low-impact scenario, three applicants are automatically invited for another interview. In addition, the relationship between age and risk perception is investigated. The second online experiment tests subjects’ perceived trust in decisions made by artificial intelligence, either semi-automatically through the assistance of human experts or fully automatically in comparison. Two task types are distinguished. The task type that requires “human skills”—represented as a performance evaluation situation—and the task type that requires “mechanical skills”—represented as a work distribution situation. In addition, the extent of negative emotions in automated decisions is investigated. The results are related to the findings of Araujo et al. (AI Soc 35:611–623, 2020) and Lee (Big Data Soc 5:1–16, 2018). Implications for further research activities and practical relevance are discussed. (shrink)

" The encounter of semiotics with artificial intelligence should not have surprised me: for over twenty-five years I have been teaching a course on. 'Semiotics and Computers'1 in connection with a research program that always had something to do with artificial intelligence, even before the expression was used. And yet, I must confess that I did feel surprised when I learned that a special issue of "Semiotica" was being planned on that very subject, and that I was invited to take (...) part in it. To this end, I need first to indicate how I became involved with semiotics and computers, in the late 1950s. ". (shrink)