Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised learning (...) methods—namely lasso penalties, bagging, and boosting—offer subtler, more interesting analogies to human reasoning as both an individual and a social phenomenon. Despite the temptation to fall back on anthropomorphic tropes when discussing AI, however, I conclude that such rhetoric is at best misleading and at worst downright dangerous. The impulse to humanize algorithms is an obstacle to properly conceptualizing the ethical challenges posed by emerging technologies. (shrink)

Oftentimes, reality seems to us a chaos that we try to control with our theories. This article starts from the antithetic standpoint, inspired by Antonio Rosmini’s works: reality is intelligible, and originates our thinking. From this perspective, any research that tries to reach the truth is determined by the real, not the contrary. Moreover, interdisciplinarity, far from being a solipsistic enterprise, aims at achieving truth and guaranteeing scientific advancement. Here, we analyze the distinctive character of Rosminian encyclopedism (...) and his principles for preventing human errors. We then clarify why it is impossible to achieve perfection, and why such an impossibility is not problematic for the interdisciplinary dialogue. (shrink)

There has recently been a surge of development in augmented reality (AR) technologies that has led to an ecosystem of hardware and software for AR, including tools for artists and designers to accelerate the design of AR content and experiences without requiring complex programming. AR is viewed as a key “disruptive technology” and future display technologies (such as digital eyewear) will provide seamless continuity between reality and the digitally augmented. This article will argue that the technologization of human (...) perception and experience of reality, coupled with the development of artificial intelligence (AI)–based natural language assistants, may lead to a secular re‐enchantment of the world, in the sense outlined by Charles Taylor, where human existence is shaped through AR inhabited by advanced personal and social AI agents in the form of digital avatars and daemons, and that enchantment has been persistent throughout the formation of modernity and is being rekindled by the integration of AI in the plane of AR. (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)

I started to think seriously about the ideas of augmented perception and personalized views of reality after reading a number of Internet messages containing proposals to introduce language standards for online communications. Frequently, people suggest restricting certain forms of expression or polishing the language of the posts to make them less offensive and more generally understandable.

Comprehensively improving the level of vocational education and teaching quality has become an important initiative to meet the new round of technological revolution and industrial change. The traditional teaching mode can no longer meet the needs of industries and enterprises for job competences, and all higher education institutions are actively thinking about how to carry out teaching reform. Virtual reality can effectively solve the above-mentioned drawbacks, but the hardware facilities of the existing VR systems are extremely expensive, making it (...) impossible to popularize it in teaching. In this context, this paper is based on VR for the design of an interactive teaching platform. This paper discusses the key technologies of virtual reality, introduces the relevant theoretical foundation, and describes the current virtual reality devices with high popularity and their advantages and disadvantages for systematic analysis. From the perspective of teaching design, the design of human-computer interaction teaching process using VR technology to develop learning scenes is studied, introducing 3D modeling techniques, model construction, the production of picture and text panels, the production of video materials, and the establishment of virtual tour guide 3D scenes. The principle of this paper is to build a 3D vision for building 3D views of educational needs to design high quality images and video animation using 3DMAX and unity 3D engines. Then, we introduce the use of VR glasses, smart phones, and Bluetooth wireless handle to build a simple interactive teaching platform; the platform is of low cost of construction and student coverage, to solve the teaching resources shortage, equipment conditions lagging behind, the curriculum content aging, teachers and students who cannot interact in real time, and a series of problems. (shrink)

In this book the editors invited prominent researchers with different perspectives and deep insights into the various facets of the relationship between reality and representation in the following three classes of agent: in humans, in other living beings, and in machines. -/- The book enriches our views on representation and deepens our understanding of its different aspects, a question that connects philosophy, computer science, logic, anthropology, psychology, sociology, neuroscience, linguistics, information and communication science, systems theory and engineering, computability, cybernetics, (...) synthetic biology, and bioinformatics biosemiotics. This book will be relevant to researchers in these fields. (shrink)

This book examines how Shanghai aims to improve public service provision by accelerating the use of artificial intelligence (AI) in the public sector. After clarifying the technical and social factors that shape the use of AI in this area, the book delves into the AI policy environment and AI ecosystem of Shanghai to gauge the city’s capacity to implement public sector AI applications. Then it examines how this capacity translates into real-world policy initiatives through the investigation of case studies. It (...) highlights the analytical, operational and political capabilities that determine the strengths and limitations of such initiatives in deploying AI in the public sector, and it assesses their impacts on public service provision in Shanghai. By using the findings on Shanghai to gain a deeper understanding of key topics in public sector AI research, this book also contributes new knowledge about the use of AI to improve the provision of public services. (shrink)

Jim Cushing emphasized that physical theory should tell us an intelligible and objective story about the world, and concluded that the Bohm theory is to be preferred over the Copenhagen interpretation. We argue here, however, that the Bohm theory is only one member of a wider class of interpretations that can be said to fulfill Cushing’s desiderata. We discuss how the pictures provided by these interpretations differ from the classical one. In particular, it seems that a rather drastic form (...) of perspectivalism is needed if accordance with special relativity is to be achieved. (shrink)

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.

Apocalyptic AI, the hope that we might one day upload our minds into machines and live forever in cyberspace, has become commonplace. This view now affects robotics and AI funding, play in online games, and philosophical and theological conversations about morality and human dignity.

From Fall 2016 to Fall 2019 Marcelo Gleiser conducted a series of nine public dialogues between eminent scientists and humanists on challenging topics and ideas whose very definitions and meanings are disputed. Sponsored by the Institute for Cross-Disciplinary Engagement at Dartmouth College, founded by Gleiser, these events were held in theaters and universities across the US and immediately followed by workshops, open to the public, at which attendees could converse directly with participants. Great Minds Don't Think Alike collects edited versions (...) of these discussions, which set an example, in a time when public discourse is seriously threatened, of how people can engage in a fruitful exchange of ideas even when they strongly disagree. The cast of characters is stellar: David Chalmers and Antonio Damasio on consciousness, Sean Carroll and Alan Wallace on reality, Patricia Churchland and Jill Tarter on the future of intelligence, Rebecca Goldstein and Alan Lightman on faith, Jimena Canales and Paul Davies on time, Ed Boyden and Mark O'Connell on transhumanism, Elizabeth Kolbert and Siddhartha Mukherjee on immortality, and Jeremy DeSilva, David Grinspoon, and Tasneem Zehra Husain on being human. (shrink)

Artificial intelligence is rapidly entering our daily lives in the form of driverless cars, automated online assistants and virtual reality experiences. In so doing, AI has already substituted human employment in areas that were previously thought to be uncomputerizable. Based on current trends, the technological displacement of labor is predicted to be significant in the future – if left unchecked this will lead to catastrophic societal unemployment levels. This paper presents a means to mitigate future technological unemployment through the (...) introduction of a Basic Income scheme, accompanied by reforms in school curricula and retraining programs. Our proposal argues that such a scheme can be funded by a special tax on those industries that make use of robotic labour; it includes a practical roadmap that would see a government take this proposal from the conceptual phase and implement it nationwide in the span of one decade. (shrink)

This article introduces the concept of spiritual intelligence in terms of a natural human ability to take a different perspective on reality rather than an extraordinary ability to engage with a different/supernatural reality. From a cognitive perspective, spiritual intelligence entails a re‐balancing of the two main modes of human cognition, with a prioritization of the holistic‐intuitive mind over the conceptual one. From the psychological and phenomenological perspectives, it involves a different kind of engagement with information: slower, more participatory, (...) less objectifying, and not focused entirely on problem solving. The article ends with a reflection on the theological implications of the proposed model and how such an account of spiritual intelligence as knowing differently might relate to theological anthropology and the theology of the spirit and the spiritual. (shrink)

Departing from popular imaginations around artificial intelligence (AI), this article engages in the I in the AI acronym but from perspectives outside of mathematics, computer science and machine learning. When intelligence is attended to here, it most often refers to narrow calculating tasks. This connotation to calculation provides AI an image of scientificity and objectivity, particularly attractive in societies with a pervasive desire for numbers. However, as is increasingly apparent today, when employed in more general areas of our messy socio-cultural (...) realities, AI- powered automated systems often fail or have unintended consequences. This article will contribute to this critique of AI by attending to Nicholas of Cusa and his treatment of intelligence. According to him, intelligence is equally dependent on an ability to handle the unknown as it unfolds in the present moment. This suggests that intelligence is organic which ties Cusa to more contemporary discussions in tech philosophy, neurology, evolutionary biology, and cognitive sciences in which it is argued that intelligence is dependent on having—and acting through—an organic body. Understanding intelligence as organic thus suggests an oxymoronic relationship to artificial. (shrink)

By following the arguments developed by Vygotsky and employing the cultural-historical activity theory (CHAT) in addition to dialectical logic, this paper attempts to investigate the interaction between psychology and artificial intelligence (AI) to confront the epistemological and methodological challenges encountered in AI research. The paper proposes that AI is facing an epistemological and methodological crisis inherited from psychology based on dualist ontology. The roots of this crisis lie in the duality between rationalism and objectivism or in the mind-body rupture that (...) has governed the production of scientific thought and the proliferation of approaches. In addition, by highlighting the sociohistorical conditions of AI, this paper investigates the historical characteristics of the shift of the crisis from psychology to AI. Additionally, we examine the epistemological and methodological roots of the main challenges encountered in AI research by noting that empiricism is the dominant tendency in the field. Empiricism gives rise to methodological and practical challenges, including challenges related to the emergence of meaning, abstraction, generalization, the emergence of symbols, concept formation, functional reflection of reality, and the emergence of higher psychological functions. Furthermore, through discussing attempts to formalize dialectical logic, the paper, based on contradiction formation, proposes a qualitative epistemological, methodological, and formal alternative by using a preliminary algorithmic model that grasps the formation of meaning as an essential ability for the qualitative reflection of reality and the emergence of other mental functions. (shrink)

According to how AI has defined itself from its beginning, thinking in non-living matter, i.e., without life, is possible. The premise of symbolic AI is that operating on representations of reality machines can understand it. When this assumption did not work as expected, the mathematical model of the neuron became the engine of artificial “brains.” Connectionism followed. Currently, in the context of Machine Learning success, attempts are made at integrating the symbolic and connectionist paths. There is hope that Artificial (...) General Intelligence (AGI) performance can be achieved. As encouraging as neuro-symbolic AI seems to be, it remains unclear whether AGI is actually a moving target as long as AI itself remains ambiguously defined. This paper makes the argument that the intelligence of machines, expressed in their performance, reflects how adequate the means used for achieving it are. Therefore, energy use and the amount of data necessary qualify as a good metric for comparing natural and artificial performance. (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)

Fairness of Artificial Intelligence decisions has become a big challenge for governments, companies, and societies. We offer a theoretical contribution to consider AI ethics outside of high-level and top-down approaches, based on the distinction between “reality” and “world” from Luc Boltanski. To do so, we provide a new perspective on the debate on AI fairness and show that criticism of ML unfairness is “realist”, in other words, grounded in an already instituted reality based on demographic categories produced by (...) institutions. Second, we show that the limits of “realist” fairness corrections lead to the elaboration of “radical responses” to fairness, that is, responses that radically change the format of data. Third, we show that fairness correction is shifting to a “domination regime” that absorbs criticism, and we provide some theoretical and practical avenues for further development in AI ethics. Using an ad hoc critical space stabilized by reality tests alongside the algorithm, we build a shared responsibility model which is compatible with the radical response to fairness issues. Finally, this paper shows the fundamental contribution of pragmatic sociology theories, insofar as they afford a social and political perspective on AI ethics by giving an active role to material actors such as database formats on ethical debates. In a context where data are increasingly numerous, granular, and behavioral, it is essential to renew our conception of AI ethics on algorithms in order to establish new models of responsibility for companies that take into account changes in the computing paradigm. (shrink)

The tendency to idealise artificial intelligence as independent from human manipulators, combined with the growing ontological entanglement of humans and digital machines, has created an “anthrobotic” horizon, in which data analytics, statistics and probabilities throw our agential power into question. How can we avoid the consequences of a reified definition of intelligence as universal operation becoming imposed upon our destinies? It is here argued that the fantasised autonomy of automated intelligence presents a contradistinctive opportunity for philosophical consciousness to understand itself (...) anew as holistic and co-creative, beyond the recent “analytic” moment of the history of philosophy. Here we introduce the concept of “crealectic intelligence”, a meta-analytic and meta-dialectic aspect of consciousness. Intelligent behaviour may consist in distinguishing discrete familiar parts or reproducible functions in the midst of noise via an analytic process of segmentation; intelligence may also manifest itself in the constitution of larger wholes and dynamic unities through a dialectic process of association or assemblage. But, by contrast, crealectic intelligence co-creates realities in the image of an ideal or truth, taking into account the desiring agent imbued with a sense of possibility, in a relationship not only with the Real but also with the creative sublime or “Creal”. (shrink)

The advent of the cinema radically altered our comprehension of time, space, and reality. With his experience as a pioneering avant-garde filmmaker, Jean Epstein uses the universes created by the cinematograph to deconstruct our understanding of how time and space, reality and unreality, continuity and discontinuity, determinism and randomness function both inside and outside the cinema. Time, he says, should be regarded as the first, not the fourth, dimension—and the cinematograph allows us, for the first time, to manipulate (...) it in directions and speeds of our choosing. The theoretical work of Jean Epstein greatly influenced later generations of cinema philosophers, notably Gilles Deleuze and Jacques Rancière, but the bulk of his work remains unpublished. _The Intelligence of a Machine_, his first major title published in English, is one of the earliest philosophies of cinema. (shrink)

A central thesis of intelligent‐design theorists is that physical and chemical laws and chance are insufficient to account for irreducibly complex biological structures and that intelligent design is necessary to account for such phenomena. This assertion, however, still implies a reductionist ontology. We need to recognize that reality displays multiple modes of being beyond simply chemical and physical modes of being, each of which is governed by laws for that mode of being. This essay argues for an alternate framework (...) for understanding life phenomena that is neither philosophical materialism nor intelligent‐design theory. (shrink)

Artificial intelligence is becoming part of our everyday experience and is expected to be ever more integrated into ordinary life for many years to come. Thus, it is important for those in product development, research, and public policy to understand how the public’s perception of AI is shaped. In this study, we conducted focus groups and an online survey to determine the knowledge of AI held by the American public, and to judge whether entertainment media is a major influence on (...) how Americans perceive AI. What we found is that the American public’s knowledge of AI is patchy: some have a good understanding of what is and what is not AI, but many do not. When it came to understanding what AI can do, most respondents believe that AI could “replace human jobs” but few thought that it could “feel emotion.” Most respondents were optimistic about the future and impact of AI, though about one third were not sure. Most respondents also did not think they could develop an emotional bond with or be comfortable being provided care by an AI. Regarding the influence of entertainment media on perceptions of AI, we found a significant relationship between people’s beliefs about AI in entertainment media and their beliefs about AI in reality. Those who believe AI is realistically depicted in entertainment media were more likely to see AIs as potential emotional partners or apocalyptic robots than to imagine AIs taking over jobs or operating as surveillance tools. (shrink)

Is the location of consciousness in the objectively represented world intelligible? The paper examines the grounds for Nagel's negative answer, which can be presented as a response to the following paradox. (1) We are realists about consciousness. (2) Realism about a domain of reference requires commitment to the possibility of an objective, perspective-free conception of it. (3) The phenomenal character of an experience can only be captured by means of perspectival concepts. According to Nagel, we can have either realism (...) about consciousness or the link between realism and objectivity. He opts for the former, where this leads to the postulation of an essentially perspectivally reality inhabited by consciousness. I argue, contra Nagel, that questions about the intelligibility of locating consciousness in the objectively representable world should be asked relative the kinds of objectivity provided for by our spatial thought. Not only does this formally dissolve the paradox, as such thought allows for essential reliance on perspectival concepts; but it also shows how we do in fact make sense of the objective location of consciousness, in virtue of the link between spatial thought and something Strawson calls our ‘commonsense realism’ about physical objects, which ascribes ‘phenomenally-laden’ properties to such objects. (shrink)

In developed countries, companies are now substantially reliant on the skills and abilities of their leaders to tackle a variety of complex issues. There is a growing consensus that leadership development training and assessment methods should adopt more holistic methodologies, including those associated with the emotional and neuroendocrine aspects of learning. Recent research into the assessment of leadership competencies has proposed the use of objective methods and measurements based on neuroscience. One of the challenges to be faced in the development (...) of a performance-based methodology to measure leadership skills is how to generate real-life situations with triggers that allow us to study management competencies under controlled laboratory conditions. A way to address this question is to take advantage of virtual environments to recreate real-life situations that might arise in performance-based assessments. We propose virtual reality (VR) as a very promising tool to observe various leadership related behavioral patterns during dynamic, complex and realistic situations. By seamlessly embedding assessment methods into virtual learning environments, VR can provide objective assessment methods with high ecological validity. VR also holds unlimited opportunities for leadership training providing subjects with intelligent tutoring systems that adapts situations in real time according to the observed behaviors. (shrink)

The emerging crealectic frame posits that there are three complementary and effectual domains of intelligence, namely analytic, dialectic, and crealectic, being alternatively or complementarily used in human interactions with the world. The focus of crealectic intelligence is the relative possibilization and local realization of absolute possibility, the becoming real, biological, and social of creation. This multimodal externalization and asymptotic unification of a cosmological flux expresses itself via three realms of possibilization: physical, psychological, and philosophical. But the philosophical possible is not (...) merely abstract; it originates a generative process of exteriorizations, interiorizations, dissolutions, and unifications transforming the possible into realities. The term “crealectics,” coined by philosopher and author Luis de Miranda, is a compound of “Creal” and of two possible suffixes: “logos” or “ektos”. The ontological core of crealectics, the Creal, is the immanent process of creation understood as a ubiquitous stream of absolute possibility exteriorizing itself. For a crealectician, philosophy is not the mere logical analysis of truth conditions, but the self-questioning enterprise of thought regarding its own possibilizing and world-making power. (shrink)

The Intelligent Mind conceives the psychological reality of thought and language, explaining how intelligence develops from intuition to representation and then to linguistic interaction and thinking. Overcoming the prevailing dogmas regarding how discursive reason emerges, this book secures the psychological possibility of the philosophy of mind.

Metaphysics deals with the intelligible world of questions and the explicable world of intentionality. Metaphysics is explicable, and its explicability is connected to questions related to what there is to know about the nature of reality. While physics deals with what is and what else there is, metaphysics deals with the nature of reality and what else there is to know about the nature of reality. If the content of metaphysics is considered as "answers" to questions (...) related to cosmology and consciousness, then metaphysical claims must be understood in the context of the questions that necessitate such claims. For without understanding the relevance of the questions, we cannot establish the 'truth' or 'falsity' of metaphysical claims. The relevance of the questions is the basis for establishing the veracity of the metaphysical distinctions. Hence, all metaphysical distinctions are a non-reductive explanation of what is considered as being reductive. The content of consciousness or intentionality deals with the following metaphysical distinctions, namely, the matter/mind, the essence/ existence, the space/time, the concrete/abstract, the particular/universal, and the contingent/necessary distinctions. These distinctions are made possible because of the questions raised by the intelligent mind. Two questions that connect physics and metaphysics are-- what is there and the nature of what is there. Two further questions that promote our interest in physics and metaphysics are: what else is there to know, and what else is there to know about the nature of reality. Reality and the nature of reality are the same. However, because the mind makes this distinction, we can state that what is physical is an empirical given, and what is metaphysical is a phenomenological or an existential given. Keywords: metaphysics, intentionality, subjectivity, creativity, freedom and time. (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)

In lieu of an abstract, here is a brief excerpt of the content:Objective Reality of Ideas in Descartes, Caterus, and Su irez NORMAN j. WELLS IT HAS LONG BEEN ACKNOWLEDGEDthat Francisco Sufirez's distinction between a formal and an objective concept exercised some influence upon Descartes's teaching on 'idea'.' It would appear, however, that not enough attention has been given to that distinction of Sufirez (and especially to another to be mentioned shordy) to aid in dispelling what I take to (...) be a widespread confusion and misunderstanding with regard to 'idea' in Descartes, especially with respect to 'idea' taken 'objectively'. Much, if not all, of the confusion in question has to do with Descartes's admittedly equivocal use of the term 'idea'. For he had allowed that 'idea' could be taken 'materially' (materialiter), on the one hand, for the knowing activity of the intellect. On the other hand, it could be taken 'objectively' (objective) for the thing (res) represented by that knowing activity.' At this point, the contemporary reader can only be brought up short, See E. Gilson, Index scolastico-cart~sien (New York: Burt Franklin Reprint, 1912), 48-49; Discours de la m~thode: Texte et commentazre (Paris: J. Vrin, 1947), 321; G. Rodis-Lewisin her edition of Meditationes de Prima PhRosoph.m (Paris: J. Vrin, 1953), 41 n. 1; L'oeuure de Descartes (Paris: J. Vrin, 1971), 53~ n. 8; J. Collins, Modern European Philosophy (Milwaukee: Bruce, 1954), 165;T.J. Cronin, S.J., Objecttve Being m Descartes and SuArez (Rome: Gregorian University Press, 1966); "Objective Reality of Ideas in Human Thought: Descartes and Su~rez," Wisdom in Depth: Essays in Honor of Henri Renard, SJ., eds. V. F. Daues, S.J., M. R. Holloway, S.J., L. Sweeney, S.J. (Milwaukee : Bruce, 1966), 68-79; L. Gilen, S.J., "Uber die Beziehungen Descartes zur zeitgenossischen Scholastik," Scholastik 32 (1957): 41-66; R. Dalbiez, "Les sources scolastiques de la th~orie cart6sienne de l'&re objectif," Revue d'histoire de la philosophic 3 (1929): 464-72;J. Owens, C.S.S.R., in The Cambridge HtstoU of Later Medu,val Philosophy, eds. N. Kretzmann, A. Kenny, J. Pinborg (Cambridge University Press, 1982), 459; G. Nuchelmans,Judgment and Propositwnfrom Descartesto Kant (Amsterdam: North Holland Publishing Co., 1983), 36-54. " Oeuvres de Descartes, ed. C. Adam et P. Tannery, 11 vols. (Paris: J. Vrin, 1897-19o9; hereafter cited according to volume, page and line), Praefatio ad Lectorem, 7: 8. 19-251 "Sed respondeo hic subesse aequivocationem in voce ideae: sumi enim potest vel materialiter, pro operatione intellectus, quo sensu me perfectior dici nequit, vel objective, pro re per istam operationem repraesentata, quae res, etsi non supponatur extra intellectum existere, potest tamen me esse perfectior ratione suae essentiae." It is clear that two realities are to be causally accounted for. The [33] 34 JOURNAL OF THE HISTORY OF PHILOSOPHY 28"1 JANUARY 1990 conditioned as we are by an appreciation of 'objectivity' altogether extramental! It makes for a considerable wrench of perspective to do justice to Descartes's acknowledged doctrine of intramental objectivity and an intramental 'thing represented' (resrepraesentata). 'Idea', then, in traditional Cartesian fashion, designates the act of representing as well as the 'thing represented '. S Yet, for all this, and despite repeated expressions of the same doctrine, there is a persistent tendency in the history of Cartesianism and its scholarship to interpret 'idea' taken 'objectively' as in some way representative. Contrary to what I take to be Descartes's constant position, such a rendering unwittingly transfers that function which is proper to the cognitive activity, mind is the efficient cause of its cognitive activity. With respect to ideas taken 'objectively', such as the ideas of God and the triangle on the levels of metaphysical and mathematical intelligibility, an efficient cause, extrinsic to the mind, is certainly at issue. For here we are in the presence of what is independent of the mind, however intramental it may be. On the triangle, see Medit. 5; 7: 64. ]4s7 : "...est tamen profecto determinata quaedam ejus natura, sire essentia, sive forma, immutabUis et aeterna, quae a me non efficta est, nec a mente mea dependet." For the idea of God, see Medit. 5; 7: 68. l o-12: "Nam sane multis modis inteUigo illam [ideam... (shrink)

There are few philosophers today cool enough to be referenced in the Matrix , interesting enough to be mentioned on Six Feet Under , and popular enough to get over 606,000 hits on Google. Jean Baudrillard has succeeded in all of this and more. Now, in his latest book, Baudrillard presents his most popular themes--symbolic exchange, hyper-reality, technology and war--and applies them to the current global conflict between "the West and the Rest", including Islam. Ultimately, it is not simply (...) about the war against terror but about the bigger picture of capitalism versus everything else. This book serves as the summation of Baudrillard's work over the last twenty years and is the essential analysis of the fundamental conflict of our time. (shrink)

Hume famously warned us that the ‘[The] ultimate springs and principles are totally shut up from human curiosity and enquiry’. Or, again, Newton: ‘Hitherto I have not been able to discover the cause of these properties of gravity … and I frame no hypotheses.’ Aristotelian science was concerned with just such questions, the specification of occult qualities, the real essences that answer the question What is matter, etc?, the preoccupation with circular definitions such as dormative virtues, and so on. The (...) rise of modern science is usually seen as a break with the sterility of Aristotelianism, so what exactly is it that modern science does discover, if it is not the essential nature of matter, of force, of energy, of space and time? A famous answer was provided by Poincaré: ‘The true relations between these real objects are the only reality we can attain.’ This is often regarded as the manifesto of so-called structural realism, as espoused in recent years by John Worrall, for example ). In response to the arguments of Larry Laudan against convergent realism, Worrall points to the continuity in the formal relations between elements of reality expressed by mathematical equations, while the intrinsic nature of these elements of reality gets constantly revised. (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)

Could an artificial intelligence become a legal person? As of today, this question is only theoretical. No existing computer program currently possesses the sort of capacities that would justify serious judicial inquiry into the question of legal personhood. The question is nonetheless of some interest. Cognitive science begins with the assumption that the nature of human intelligence is computational, and therefore, that the human mind can, in principle, be modelled as a program that runs on a computer. Artificial intelligence (AI) (...) research attempts to develop such models. But even as cognitive science has displaced behavioralism as the dominant paradigm for investigating the human mind, fundamental questions about the very possibility of artificial intelligence continue to be debated. This Essay explores those questions through a series of thought experiments that transform the theoretical question whether artificial intelligence is possible into legal questions such as, "Could an artificial intelligence serve as a trustee?" What is the relevance of these legal thought experiments for the debate over the possibility of artificial intelligence? A preliminary answer to this question has two parts. First, putting the AI debate in a concrete legal context acts as a pragmatic Occam's razor. By reexamining positions taken in cognitive science or the philosophy of artificial intelligence as legal arguments, we are forced to see them anew in a relentlessly pragmatic context. Philosophical claims that no program running on a digital computer could really be intelligent are put into a context that requires us to take a hard look at just what practical importance the missing reality could have for the way we speak and conduct our affairs. In other words, the legal context provides a way to ask for the "cash value" of the arguments. The hypothesis developed in this Essay is that only some of the claims made in the debate over the possibility of AI do make a pragmatic difference, and it is pragmatic differences that ought to be decisive. Second, and more controversially, we can view the legal system as a repository of knowledge-a formal accumulation of practical judgments. The law embodies core insights about the way the world works and how we evaluate it. Moreover, in common-law systems judges strive to decide particular cases in a way that best fits the legal landscape-the prior cases, the statutory law, and the constitution. Hence, transforming the abstract debate over the possibility of AI into an imagined hard case forces us to check our intuitions and arguments against the assumptions that underlie social decisions made in many other contexts. By using a thought experiment that explicitly focuses on wide coherence, we increase the chance that the positions we eventually adopt will be in reflective equilibrium with our views about related matters. In addition, the law embodies practical knowledge in a form that is subject to public examination and discussion. Legal materials are published and subject to widespread public scrutiny and discussion. Some of the insights gleaned in the law may clarify our approach to the artificial intelligence debate. (shrink)

What is reality for an agent? What is minimal cognition? How does the morphology of a cognitive agent affect cognition? These are still open questions among scientists and philosophers. In this chapter we propose the idea of info-computational nature as a framework for answering those questions. Within the info-computational framework, information is defined as a structure, and computation as the dynamics of information. To an agent, nature therefore appears as an informational structure with computational dynamics. Both information and computation (...) in this context have broader meaning than in everyday use, and both are necessarily grounded in physical implementation. Evolution of increasingly complex living agents is understood as a process of morphological computation driven by agents’ interactions with the environment. It is a process much more complex than random variation; instead the mechanisms of change are morphological computational processes of self-organisation. Reality for an agent emerges as a result of interactions with the environment together with internal information processing. Following Maturana and Varela, we take cognition to be the process of living of an organism, and thus it appears on different levels of complexity, from cellular via organismic to social. The simpler the agent, the simpler its “reality” defined by the network of networks of info-computational processes, which constitute its cognition. The debated topic of consciousness takes its natural place in this framework, as a process of information integration that we suggest naturally evolved in organisms with a nervous system. Computing nature/pancomputationalism is sometimes confused with panpsychism or claimed to necessarily imply panpsychism, which we show is not the case. Even though we focus on natural systems in this chapter, the info-computational approach is general and can be used to model both biological and artifactual cognitive agents. (shrink)

Kant's category of reality is an often overlooked element of his Critique of Pure Reason. Tal Glezer shows that it nevertheless belongs at the core of Kant's mature critical philosophy: it captures an issue that motivated his critical turn, shaped his theory of causation, and established the role of his philosophy of science. Glezer's study traces the roots of Kant's category of reality to early modern debates over the intelligibility of substantial forms, fueled by the tension between the (...) idea of non-extended substances and that of extended objects. This tension influenced Kant's pre-critical work, and eventually inspired his radical break towards transcendental idealism. Glezer explores the importance of reality for Kant's conceptions of cause and force, and sheds new light on his philosophy of physical science, including gravity. His book will interest scholars of Kant and of early modern philosophy, as well as historians of scientific ideas. (shrink)

In this book, Michael Arbib, a researcher in artificial intelligence and brain theory, joins forces with Mary Hesse, a philosopher of science, to present an integrated account of how humans 'construct' reality through interaction with the social and physical world around them. The book is a major expansion of the Gifford Lectures delivered by the authors at the University of Edinburgh in the autumn of 1983. The authors reconcile a theory of the individual's construction of reality as a (...) network of schemas 'in the head' with an account of the social construction of language, science, ideology and religion to provide an integrated schema-theoretic view of human knowledge. The authors still find scope for lively debate, particularly in their discussion of free will and of the reality of God. The book integrates an accessible exposition of background information with a cumulative marshalling of evidence to address fundamental questions concerning human action in the world and the nature of ultimate reality. (shrink)

The paper aims to formulate theoretical and methodological foundations as well as basic research questions for studying intervention of artificial intelligence in everyday life of medical and life sciences in the 21 century. It is an invitation for professional philosophical, theoretical and methodological discussion about the necessity and reality of artificial intelligence in contemporary medical/life sciences and medicine. The authors commence with a proposition of their definitions of ‘artificial intelligence’ (AI) and ‘artificial sociality’ (AS). The next section of the (...) paper deals with a review of basic trends in medical/life sciences and medicine. In what follows the authors debate two problems related to incorporation of AI in reality of current medicine. The first is the potential revision of the principles developed in western medicine; the second is the alteration of the contents and forms of medical education. The authors theorize the dynamic interplay between structural expansion and cultural contraction of medicine and life sciences in current practices of higher education and explore how this introduces an essential tension between the necessity and reality for medical professionals to work with AI. The paper shows that attending to institutional dynamics serves as a critical and timely extension of disciplinary/cross/anti-disciplinary critiques of science and medicine, not only since the current inclusion agenda of the AI in medicine may do little to address the real concerns of a medical profession in the XXI century but also because it may inadvertently undermine the institutional recognition and epistemic acceptance of new anti-disciplinary vista for studying AI per se. In conclusion the authors underline basic outcomes of the discussion and propose further routes for inquiry and research. (shrink)

In its forty years of existence, Artificial Intelligence has suffered both from the exaggerated claims of those who saw it as the definitive solution of an ancestral dream — that of constructing an intelligent machine-and from its detractors, who described it as the latest fad worthy of quacks. Yet AI is still alive, well and blossoming, and has left a legacy of tools and applications almost unequalled by any other field-probably because, as the heir of Renaissance thought, it represents a (...) possible bridge between the humanities and the natural sciences, philosophy and neurophysiology, psychology and integrated circuits-including systems that today are taken for granted, such as the computer interface with mouse pointer and windows. This writing describes a few results of AI that have modified the scientific world, as well as the way a layman sees computers: thetechnology of programming languages, such asLISP-witness the unique excellence of academic departments that have contributed to them-thecomputing workstations-of which our modern PC is but a vulgarised descendant-theapplications to the educational field-e.g., the realisation of some ideas of genetic epistemology-and tointerdisciplinary philosophy-such as Hofstadter's associations between the arts and mathematics-and the use ofAI techniques in music and musicology. All this has led to a generalisation of AI towards Negrotti's overallTheory of the Artificial, which encompasses further specialisation such asartificial reality, artificial life, and applications ofneural networks among others. (shrink)

Descartes claims that God is a substance, and that mind and body are two different and separable substances. This paper provides some background that renders these claims intelligible. For Descartes, that something is real means it can exist in separation, and something is a substance if it does not depend on other substances for its existence. Further, separable objects are correlates of distinct ideas, for an idea is distinct (in an objective sense) if its object may be easily and (...) clearly separated from everything that is not its object. It follows that if our idea of God is our most distinct idea, as Descartes claims, then God must be a substance in the Cartesian sense of the term. Also, if we can have an idea of a thinking subject which does not in any sense refer to bodily things, and if bodily things are substances, then mind and body must be two different substances. (shrink)

Nonphilosophers, if they think of philosophy at all, wonder why people work in metaphysics. After all, metaphysics, as Auden once said of poetry, makes nothing happen.1 Yet some very intelligent people are driven to spend their lives exploring metaphysical theses. Part of what motivates metaphysicians is the appeal of grizzly puzzles (like the paradox of the heap or the puzzle of the ship of Theseus). But the main reason to work in metaphysics, for me at least, is to understand the (...) shared world that we all encounter and interact with. And the shared world that we all encounter includes us self-conscious beings and our experience. The world that we inhabit is unavoidably a temporal world: the signing of the Declaration of Independence is later than the Lisbon earthquake; the Cold War is in the past; your death is in the future. There is no getting away from time. (shrink)

This essay discusses the trade-off between the opportunities and the dangers involved in technological change. It is argued that Artificial Intelligence technology, if properly used, could contribute substantially to coping with some of the major problems the world faces because of the highly complex interconnectivity of modern human society.In order to lay the foundation for the discussion, the symptoms of general unease which are associated with current technological progress, the concept of reality, and the field of Artificial Intelligence are (...) very briefly discussed. In the main body of the essay, the dangers are contrasted with the potential benefits of such high technology. Besides discussing more well-known negative and positive aspects we elaborate on the disadvantages of executive systems and the advantages of legislative systems. It is argued that only the latter might enable the re-establishment of the feedback-mechanism which proved so successful in earlier phases of evolution. (shrink)

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)

My dissertation traces the consequences following for social science from an analysis of the nature of its object domain, which I call "socio-historical reality." In particular, I hope thereby to dissolve many misconceptions about the character of social science. ;Influenced by Dilthey, I propose an "individualist" account that analyzes socio-historical reality as nothing but interrelated everyday lives, which themselves consist in series of actions that are governed by practical intelligibility and performed in interconnected settings. This analysis differs from (...) traditional versions of individualist social ontology because in elaborating Heidegger's idea that action is governed by practical intelligibility, and in emphasizing the role of setting in ongoing action, it offers a novel account of the ingredients out of which socio-historical reality consists. These ingredients are: actions, the entities found in settings, a broad range of factors such as rules, paradigms, ideas, goals, and normal practices, which are articulated by entities in settings and determine what it makes sense to people to do, and concrete relations between these phenomena, for example, chains of actions and commonalities in the factors mentioned under . An important consequence of my account is that socio-historical reality does not contain unexperienceable types of entities. ;This analysis of the object domain of social science has implications for the constitution of overarching social formations , the nature of social causality, and the character of social science. I maintain, for example, that all social science should be verstehende, though not necessarily interpretive; that it is unlikely that social science will discover laws governing what happens in socio-historical reality; that much of contemporary social science unknowingly and illegitimately uses fictions in its accounts; and that explanation in social science refers ultimately to individual actions and does not rest on laws or generalizations. (shrink)