Recent developments in artificial intelligence based on neural nets—deep learning and large language models which together I refer to as NEWAI—have resulted in startling improvements in language handling and the potential to keep up with changing human knowledge by learning from the internet. Nevertheless, examples such as ChatGPT, which is a ‘large language model’, have proved to have no moral compass: they answer queries with fabrications with the same fluency as they provide facts. I try to explain why this is, (...) basing the argument on the sociology of knowledge, particularly social studies of science, notably ‘studies of expertise and experience’ and the ‘fractal model’ of society. Learning from the internet is not the same as socialisation: NEWAI has no primary socialisation such as provides the foundations of human moral understanding. Instead, large language models are retrospectively socialised by human intervention in an attempt to align them with societally accepted ethics. Perhaps, as technology advances, large language models could come to understand speech and recognise objects sufficiently well to acquire the equivalent of primary socialisation. In the meantime, we must be vigilant about who is socialising them and be aware of the danger of their socialising us to align with them rather than vice-versa, an eventuality that would lead to the further erosion of the distinction between the true and the false giving further support to populism and fascism. (shrink)

Le projet philosophique puise ses sources dans la volonté de proposer une explication rationnelle des phénomènes naturels et culturels qui constituent le monde dans lequel l’être humain prend place. Il a servi de trame culturelle à l’Occident et amené le déploiement d’appareils conceptuels où l’on distingue théorie et pratique. On doit toutefois reconnaître qu’une philosophie théorique peut avoir une portée pratique et l’inverse, puisque toute pratique suppose un ancrage théorique pour légitimer la connaissance et les systèmes normatifs à partir desquels (...) les explications sont avancées. Cela fait dire à certains que la distinction est désormais surannée et qu’une théorie philosophique réunifiée s’impose. Que l’on soit tenant de la tradition ou des nouvelles approches, la philosophie pratique s’impose désormais comme un passage obligé pour réfléchir les problèmes et articuler de nouvelles théories faisant écho à l’état actuel de notre monde. Le présent ouvrage revient sur la notion de philosophie pratique afin d’en faire voir les différentes acceptions et manières de la mobiliser pour réfléchir à des problèmes actuels. (shrink)

This paper develops a hermeneutic technology assessment of quantum technologies. It offers a “vision assessment” of quantum technologies that can eventually lead to socio-ethical analysis. Section 2 describes this methodological approach and in particular the concept of the hermeneutic circle applied to technology. Section 3 gives a generic overview of quantum technologies and their impacts. Sections 4 and 5 apply the hermeneutic technology assessment approach to the study of quantum technologies. Section 5 proposes distinguishing three levels in the analysis of (...) the creation and communication of social meanings to quantum technologies: (a) fictions, (b) popularization, and (c) scientific journalism. Section 6 analyzes the results and defines some lines of action to increase social acceptance and trust in quantum technologies. The aim of this paper is to contribute to the debate on quantum technologies by enhancing the reflection on them and their potential, as well as illustrating the complexity of technological innovation and the need to shape it. (shrink)

Recent progress in artificial intelligence (AI) has drawn attention to the technology’s transformative potential, including what some see as its prospects for causing large-scale harm. We review two influential arguments purporting to show how AI could pose catastrophic risks. The first argument — the Problem of Power-Seeking — claims that, under certain assumptions, advanced AI systems are likely to engage in dangerous power-seeking behavior in pursuit of their goals. We review reasons for thinking that AI systems might seek power, that (...) they might obtain it, that this could lead to catastrophe, and that we might build and deploy such systems anyway. The second argument claims that the development of human-level AI will unlock rapid further progress, culminating in AI systems far more capable than any human — this is the Singularity Hypothesis. Power-seeking behavior on the part of such systems might be particularly dangerous. We discuss a variety of objections to both arguments and conclude by assessing the state of the debate. (shrink)

Questions are currently being posed concerning the implications of the clinical uptake of psychedelics. While enthusiasm surrounds the potential therapeutic benefits of psychedelics and critique surrounds their appropriation to commercial ends, limited attention has been given to the role of psychedelics in generating social transformation. Herbert Marcuse contended radical change requires ‘new imaginaries of liberation’. We consider whether clinical uptake of psychedelics may produce the perceptual shifts necessary to generate social transformation surrounding contemporary alienating conditions. Economic structures contributing to these (...) alienating conditions are highly resistant to change and may neuter psychedelics’ revolutionary potential. We illustrate how psychedelics may be instrumentalised: regulating individuals into unjust systems; redirecting psychedelic usage away from therapeutic ends towards productivity; distracting or diverting attention from systemic forms of control; usurping non- ordinary states into the domain of self-care; and fetishistically commodifying psychedelic experience as a consumable. There are, however, reasons to believe that psychedelics, in raising consciousnesses, may prove resistant to co-option. In particular, psychedelics induce perceptual experiences that: challenge the paradigmatic assumptions of industrial society by provoking alternative epistemologies and meta- physics; generate expanded or ecological constructions of selfhood, thereby offering resignifications of meanings, desires, and life potentials; and offer the enriched phenomenological insight into self, other, and world called for in combating ubiquitous social alienation. In this way, psychedelics may induce the revolution in perception necessary to imagine liberatory potentials and spark the desire for collective emancipation. (shrink)

Advances in artificial intelligence and robotics stand to change many aspects of our lives, including our values. If trends continue as expected, many industries will undergo automation in the near future, calling into question whether we can still value the sense of identity and security our occupations once provided us with. Likewise, the advent of social robots driven by AI, appears to be shifting the meaning of numerous, long-standing values associated with interpersonal relationships, like friendship. Furthermore, powerful actors’ and institutions’ (...) increasing reliance on AI to make decisions that may affect how people live their lives may have a significant impact on privacy while also raising issues about algorithmic transparency and human control. In this paper, building and expanding on previous works, we will look at how the deployment of Artificial Intelligence technology may lead to changes in identity, security, and other crucial values (such as friendship, fairness, and privacy). We will discuss what challenges we may face in the process, while critically reflecting on whether such changes may be desirable. Finally, drawing on a series of considerations underlying virtue ethics, we will formulate a set of preliminary suggestions, which—we hope—can be used to more carefully guide the future roll out of AI technologies for human flourishing; that is, for social and moral good. (shrink)

This dissertation argues that cognition is a kind of natural agency. Natural agency is the capacity that certain systems have to act in accordance with their own norms. Natural agents are systems that bias their repertoires in response to affordances in the pursuit of their goals. Cognition is a special mode of this general phenomenon. Cognitive systems are agents that have the additional capacity to actively take their worlds to be certain ways, regardless of whether the world is really that (...) way. In this way, cognitive systems are desituated. Desituatedness is the root of specifically cognitive capacities for representation and abstraction. There are two main reasons why this view needs defending. First, natural agency is typically viewed as incompatible with natural science because it is committed to a teleological mode of explanation. Second, cognition is typically held to be categorically distinct from natural agency. This dissertation argues against both of these views. It argues against the incompatibility of agency and natural science by demonstrating that systems biology, general systems theory, and sciences that deal with complex systems have typically underappreciated conceptual and theoretical resources for grounding agency in the causal structure of the world. These conceptual resources do not, however, reduce agency to systems theory because the normativity inherent in agency demands descriptive resources beyond those of even the most sophisticated systems theory. It argues against the categorical difference between natural agency and cognition by pointing out that separating cognition from a richer web of situated, ecologically embedded relations between the agent and the world generates the frame problem, which is an insuperable obstacle to making cognition that is sufficiently responsive to the complexity of the world. Rooting cognition in natural agency is a more robust empirical bet for theorizing cognition and artificial intelligence. (shrink)

Analytic philosophy is a philosophical tradition dominating Anglo-American philosophy, which emerged with clear features at the beginning of the twentieth century, and had its roots in the nineteenth century and before, and is still strong until now. It in essence is an interest in analysis, language, science, logic, and a systematic rather than a historical approach to philosophical problems. This article aims to understand the concepts of analysis and the analytical method, explain the origins of analytic philosophy, and its development (...) into various movements, and reveal some of its contributions to the philosophy of language, logic, the philosophy of science, the philosophy of mind, and moral and political philosophy. I will rely on analytic method in some of its forms. (shrink)

One of the sectors for which Artificial Intelligence applications have been considered as exceptionally promising is the healthcare sector. As a public-facing sector, the introduction of AI applications has been subject to extended news coverage. This article conducts a quantitative and qualitative data analysis of English news media articles covering AI systems that allow the automation of tasks that so far needed to be done by a medical expert such as a doctor or a nurse thereby redistributing their agency. We (...) investigated in this article one particular framing of AI systems and their agency: the framing that positions AI systems as replacing and outperforming the human medical expert, and in which AI systems are personified and/or addressed as a person. The analysis of our data set consisting of 365 articles written between the years 1980 and 2019 will show that there is a tendency to present AI systems as outperforming human expertise. These findings are important given the central role of news coverage in explaining AI and given the fact that the popular frame of ‘outperforming’ might place AI systems above critique and concern including the Hippocratic oath. Our data also showed that the addressing of an AI system as a person is a trend that has been advanced only recently and is a new development in the public discourse about AI. (shrink)

This special issue focuses on the theoretical, empirical and practical integrations between embodied cognition theory and educational science. The key question is: Can EC constitute a new theoretical framework for educational science and practice? The papers of the special issue support the efforts of those interested in the role of EC in education and in the epistemological convergence of EC and educational science. They deal with a variety of relevant topics in education and offer a focus on the role of (...) the body and embodied experience in learning and educational settings. In conclusion, some further topics are suggested that will need to be investigated in the future, such as a critical evaluation of the possibility for an epistemological alliance between educational theory and embodied cognition, and the contribution that enactive cognition can provide to educational systems, organizations, institutions and policies. (shrink)

Meaning has traditionally been regarded as a problem for philosophers and psychologists. Advances in cognitive science since the early 1960s, however, broadened discussions of meaning, or more technically, the semantics of perceptions, representations, and/or actions, into biology and computer science. Here, we review the notion of “meaning” as it applies to living systems, and argue that the question of how living systems create meaning unifies the biological and cognitive sciences across both organizational and temporal scales.

The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both intellectually and physically. In the current article, the author analyzes the current state and prospects of technological development of artificial intelligence and robotics, and also determines the main aspects of the impact of these technologies on society and economy, indicating the geopolitical strategic (...) nature of this influence. The author considers various approaches to the definition of artificial intelligence and robotics, focusing on the subject-oriented and functional ones. It also compares AI&R abilities and human abilities in areas such as categorization, pattern recognition, planning and decision making, etc. Based on this comparison, we investigate in which areas AI&R’s performance is inferior to a human, and in which cases it is superior to one. The modern achievements in the field of robotics and artificial intelligence create the necessary basis for further discussion of the applicability of goal setting in engineering, in the form of a Turing test. It is shown that development of AI&R is associated with certain contradictions that impede the application of Turing’s methodology in its usual format. The basic contradictions in the development of AI&R technologies imply that there is to be a transition to a post-Turing methodology for assessing engineering implementations of artificial intelligence and robotics. In such implementations, on the one hand, the ‘Turing wall’ is removed, and on the other hand, artificial intelligence gets its physical implementation. (shrink)

The notion of computation has changed the world more than any previous expressions of knowledge. However, as know-how in its particular algorithmic embodiment, computation is closed to meaning. Therefore, computer-based data processing can only mimic life’s creative aspects, without being creative itself. AI’s current record of accomplishments shows that it automates tasks associated with intelligence, without being intelligent itself. Mistaking the abstract for the concrete has led to the religion of “everything is an output of computation”—even the humankind that conceived (...) the computer. The hypostatized role of computers explains the increased dependence on them. The convergence machine called deep learning is only the most recent form through which the deterministic theology of the machine claims more than what it actually is: extremely effective data processing. A proper understanding of complexity, as well as the need to distinguish between the reactive nature of the artificial and the anticipatory nature of the living are suggested as practical responses to the challenges posed by machine theology. (shrink)

Improvisation is ubiquitous in life. It deserves, we suggest, to occupy a more central role in cognitive science. In the current paper, we take the case of jazz improvisation as a rich model domain from which to explore the nature of improvisation and expertise more generally. We explore the activity of the jazz improviser against the theoretical backdrop of Dreyfus’s account of expertise as well as of enactivist and 4E accounts of cognition and action. We argue that enactivist and 4E (...) accounts provide a rich source of insights on improvisation that go beyond Dreyfus’s notion of skilled coping, for example, through the central enactivist notion of “sense-making”. At the same time, however, we see improvisation also as suggesting an extension of enactivist theory. We see expert improvisers, in music and in life, as walking on a path of open-ended expansion of their mindful experiential relation with their doing. At the heart of an improviser’s expertise, we propose, lies a form of “higher-level inner sense-making” that spontaneously creates novel forms of agentive goal-directedness in the moment. Our account thus supplants Dreyfus’s idea of the ego-less absorbed expert by that of a mindful improviser enacting spontaneous expressions of herself, in music or in life. (shrink)

Dreyfus’s work is widely known for its critique of artificial intelligence and still stands as an example of how to do excellent philosophical work that is at the same time relevant to contemporary technological and scientific developments. But for philosophers of technology, especially for those sympathetic to using Heidegger, Merleau-Ponty, and Wittgenstein as sources of inspiration, it has much more to offer. This paper outlines Dreyfus’s account of skillful coping and critically evaluates its potential for thinking about technology. First, it (...) is argued that his account of skillful coping can be developed into a general view about handling technology which gives due attention to know-how/implicit knowledge and embodiment. Then a number of outstanding challenges are identified that are difficult to cope with if one remains entirely within the world of Dreyfus’s writings. They concern questions regarding other conceptualizations of technology and human–technology relations, issues concerning how to conceptualize the social and the relation between skill, meaning, and practices, and the question about the ethical and political implications of his view, including how virtue and skill are related. Acknowledging some known discussions about Dreyfus’s work, but also drawing on other material and on the author’s previous writings, the paper suggests that to address these challenges and develop the account of skillful coping into a wider scoped, Dreyfus-inspired philosophy of technology, it could take more distance from Heidegger’s conceptions of technology and benefit from engagement with work in postphenomenology, pragmatism, the later Wittgenstein, and virtue ethics. (shrink)

Levinas is usually discussed as a philosopher wrestling with the nature of our experience of others, ethical obligation, and the divine. Unlike other phenomenologists, such as Husserl and Heidegger, he is not often mentioned in discussions about issues in philosophy of mind. His work in that area, especially on perception, is underappreciated. He gives an account of the nature of perceptual experience that is remarkable both in how it departs from that of others in the phenomenological tradition and for how (...) it fits in among presently available views about the nature of perceptual experience, namely, as a form of naïve realism. (shrink)

In recent years a growing number of scholars in science studies and related fields are developing new ontologies to displace entrenched dualisms. These efforts often go together with a renewed interest in the roles played by symbolisms and tools in knowledge and being. This article brings Maurice Merleau-Ponty into these conversations, positioning him as a precursor of today’s innovative recastings of technoscience. While Merleau-Ponty is often invoked in relation to his early work on the body and embodiment, this article focuses (...) on his later work, where the investigation of perception is integrated with an ontological exploration. The resulting approach revolves around the highly original idea of the body as a standard of measurement. We further develop this idea by coining the term ‘the measuring body’, which to a greater extent than did Merleau-Ponty accentuates the relative autonomy of symbolisms and tools and their capacity to decentre the perceiving body. (shrink)

It is a central tenet of ethical intuitionism as defended by W. D. Ross and others that moral theory should reflect the convictions of mature moral agents. Hence, intuitionism is plausible to the extent that it corresponds to our well-considered moral judgments. After arguing for this claim, I discuss whether intuitionists offer an empirically adequate account of our moral obligations. I do this by applying recent empirical research by John Mikhail that is based on the idea of a universal moral (...) grammar to a number of claims implicit in W. D. Ross’s normative theory. I argue that the results at least partly vindicate intuitionism. (shrink)

This introduction to a special issue of Topoi introduces and summarises the relationship between three main varieties of 'enactivist' theorising about the mind: 'autopoietic', 'sensorimotor', and 'radical' enactivism. It includes a brief discussion of the philosophical and cognitive scientific precursors to enactivist theories, and the relationship of enactivism to other trends in embodied cognitive science and philosophy of mind.

In the field of machine consciousness, it has been argued that in order to build human-like conscious machines, we must first have a computational model of qualia. To this end, some have proposed a framework that supports qualia in machines by implementing a model with three computational areas (i.e., the subconceptual, conceptual, and linguistic areas). These abstract mechanisms purportedly enable the assessment of artificial qualia. However, several critics of the machine consciousness project dispute this possibility. For instance, Searle, in his (...) Chinese room objection, argues that however sophisticated a computational system is, it can never exhibit intentionality; thus, would also fail to exhibit consciousness or any of its varieties. This paper argues that the proposed architecture mentioned above answers the problem posed by Searle, at least in part. Specifically, it argues that we could reformulate Searle’s worries in the Chinese room in terms of the three-stage artificial qualia model. And by doing so, we could see that the person doing all the translations in the room could realize the three areas in the proposed framework. Consequently, this demonstrates the actualization of self-consciousness in machines. (shrink)

Fodor's thinking on modularity has been influential throughout a range of the areas studying cognition, chiefly as a prod for positive work on modularity and domain-specificity. In _The Mind Doesn't Work That Way_, Fodor has developed the dark message of _The Modularity of Mind_ regarding the limits to modularity and computational analyses. This paper offers a critical assessment of Fodor's scepticism with an eye to highlighting some broader issues in play, including the nature of computation and the role of recent (...) empirical developments in the cognitive sciences in assessing Fodor's position. (shrink)

The emerging school of thought called “postphenomenology” offers a distinct understanding of the ways that people experience technology usage. This perspective combines insights from the philosophical tradition of phenomenology with commitments to the anti-essentialism and nonfoundationalism of American pragmatism. One of postphenomenology’s central positions is that technologies always remain “multistable,” i.e., subject to different uses and meanings. But I suggest that as this perspective matures, philosophical problems are emerging around the notion of multistability, what I call “the problem of invariance” (...) and “the problem of grounding.” These problems point out things that remain unclear within the postphenomenological framework, such as how it handles structural claims regarding a technology’s various stabilities, and how it grounds its claims. How can postphenomenology make structural claims about technology and yet remain anti-essentializing? And on what epistemological basis does it ground its claims about human-technology relations? The paper concludes with a series of prescriptions that, if followed, enable postphenomenology to make edifying claims about technology, all while avoiding the problems of invariance and grounding, and maintaining its commitments to anti-essentialism and nonfoundationalism. (shrink)

In the last forty years, significant developments in neuroscience, psychology, and robotic technology have been cause for major trend changes in the philosophy of mind. One such shift has been the reallocation of focus from entirely brain-centered theories of mind to more embodied, embedded, and even extended answers to the questions, what are cognitive processes and where do we find such phenomena? Given that hypotheses such as Clark and Chalmers‘ (1998) Extended Mind or Hutto‘s (2006) Radical Enactivism, systematically undermine the (...) organism-bound, internal, and static pictures of minds and allow instead for the distribution of cognitive processes among brains, bodies, and worlds, a worry that arises is that the very subject of cognitive science, the ‗cognizer‘ will be hopelessly opaque, its mind leaking out into the world all over the place, thereby making it impossible to rein in and properly study. A seemingly unrelated and yet parallel trend has also taken place in feminist theorizing about the body over the last forty years. Whereas feminism of the 1970s and early 1980s tended to view ‗the body‘ as the site and matter of biological sex, while gender was a more fluid and socially constituted mode of existence, more recent feminist theory has questioned the givenness of bodies themselves. In other words, rather than seeing gender categories as manifestations of the already given sexed body, thinkers such as Butler (2000) and Lorber (1992) argue that the very notion of a body is often a product of scientific inquiry, which is itself a product of the power structures aiming to maintain a rigid binary between feminine and masculine gender roles. If the world at large plays such a constitutive role in determining who we are, then this implies that the tools we use, the language we speak, and the power relationships in which we are enmeshed are components of what it means to be embodied in any genuine sense. For thinkers like Haraway (1988) the image of the cyborg is most fitting for this new understanding of embodied subjects, as the cyborg is a coupling of machine and human. Gender and even biological sex will always be a technologically hybridized ‗monster‘ consisting of matter, machine, and mind. The overall aim of my project is thus to bring the two concurrent developments in theorizing about embodied subjects into discourse. As the cyborg features largely in recent feminist thought about embodiment, so too has it been a prominent metaphor in philosophy of mind, ever since Clark (2003) claimed that we ought to think of our ‗selves‘ more appropriately as Natural-Born Cyborgs. I therefore focus on this imagery as I go on to make the argument that this distributed account of cognition as well as of sexual identity is more fruitful for making progress in understanding ‗the human‘ more generally. Likewise, I argue that bringing the discussion of sex and gender into the arena of an otherwise asexual philosophy of mind, will shed light on some important facets of embodiment that have been overlooked but that ought to be addressed if we are to have an adequate account of ‗the proper subject of cognitive science.‘ My chapters include 1) a survey of the discourse between science and philosophy of mind leading to these embodied and extended approaches, 2) a first attempt at defending the extended mind thesis, 3) a discussion of how even the supposed resolution to the objections raised against extended cognition fails to properly take into account just how problematic subjectivity is, regardless of its being defined entirely organismic or not, as organisms themselves are highly malleable and socially constituted, 4) an explanation concerning how the same problematization of embodied subjectivity is ongoing in feminist theory, especially considering the phenomenology of transgendered embodiment, intersex, and technologically mediated bodies, 5) further elaboration on technologically enhanced bodies, exposing what I see as a continuum between bodies modified by ‗hard‘ technologies, such as implants, prostheses or surgeries, and those modified by ‗soft‘ technologies, such as gender norms, the social gaze, and technologically mediated metacognition, and last, 6) an argument for the image of the cyborg to replace ‗organism‘ in cognitive science, along with the corollary argument that cyborgs ought to represent not just embodied minds, but should also be the metaphor in attempting to understand ‗embodiment‘ more generally, which must, at its roots, be underpinned by gender and sexual identity. I argue that the imagery is fitting for the proper study of cognitive subjects as well as sexed and gendered bodies, but moreover, that just as the cyborg suggests a blending and hybridizing of seemingly unrelated elements, so too should the two areas of inquiry, philosophy of mind and feminist theory, pay heed to one another‘s use of this imagery and themselves begin to be more integrative in their approaches. (shrink)

The paper is a commentary on the target article by Christine A. Skarda & Walter J. Freeman, “How brains make chaos in order to make sense of the world”, in the same issue of the journal, pp.161–195. -/- I confine my comments largely to some philosophical claims that Skarda & Freeman make and to the relationship of their model to connectionism. Some of the comments hinge on what symbols are and how they might sit in neural systems.

We begin by distinguishing computationalism from a number of other theses that are sometimes conflated with it. We also distinguish between several important kinds of computation: computation in a generic sense, digital computation, and analog computation. Then, we defend a weak version of computationalism—neural processes are computations in the generic sense. After that, we reject on empirical grounds the common assimilation of neural computation to either analog or digital computation, concluding that neural computation is sui generis. Analog computation requires continuous (...) signals; digital computation requires strings of digits. But current neuroscientific evidence indicates that typical neural signals, such as spike trains, are graded like continuous signals but are constituted by discrete functional elements (spikes); thus, typical neural signals are neither continuous signals nor strings of digits. It follows that neural computation is sui generis. Finally, we highlight three important consequences of a proper understanding of neural computation for the theory of cognition. First, understanding neural computation requires a specially designed mathematical theory (or theories) rather than the mathematical theories of analog or digital computation. Second, several popular views about neural computation turn out to be incorrect. Third, computational theories of cognition that rely on non-neural notions of computation ought to be replaced or reinterpreted in terms of neural computation. (shrink)

Following arguments put forward in my book (Why red doesn’t sound like a bell: understanding the feel of consciousness. Oxford University Press, New York, USA, 2011), this article takes a pragmatic, scientist’s point of view about the concepts of consciousness and “feel”, pinning down what people generally mean when they talk about these concepts, and then investigating to what extent these capacities could be implemented in non-biological machines. Although the question of “feel”, or “phenomenal consciousness” as it is called by (...) some philosophers, is generally considered to be the “hard” problem of consciousness, the article shows that by taking a “sensorimotor” approach, the difficulties can be overcome. What remains to account for are the notions of so-called “access consciousness” and the self. I claim that though they are undoubtedly very difficult, these are not logically impossible to implement in robots. (shrink)

Inspired by an economic interpretation of the Faustus drama allegorically disclosing the ‘alchemical’ nature of modern economy, the paper presents a critical view on the development of technology as concomitant phenomenon of work practices with particular focus on manufacturing. It starts with a theoretical perspective on the dynamics of creating explicit propositional knowledge and its re-appropriation for practical use. This lays the ground for understanding how technical artefacts emerge from and, in turn, affect social practices. It further helps to understand (...) the development of human reflective action competence and working capacity as most relevant forces of production in complex and dynamic market environments. These relationships are exemplified in some detail by looking at the problematic development and use of IT in manufacturing’s value creating processes. The paper finally advocates reflective attitudes and evolutionary procedures as basic principles for designing useful and useable IT systems according to human needs and for protecting oneself from the Faustian omnipotence delusion of endless and effortless wealth creation. (shrink)

Paradoxically, explorers of the territory of consciousness seem to be studying consciousness out of existence, from inside the field of "consciousness studies". How? Through their love of the phenomenon/process, they have developed powerful single models or lenses through which to understand consciousness. But in doing so, they also seek to destroy the other /equally useful/ lenses. Our opportunity lies in halting the vendettas and cross-speakings/cross-fire. The imploration is to stop the dichotomous thinking and pernicious reification of single models, and instead (...) search for divisions of labor, complementarities, and legitimate redescriptions among the various extant models. In other words, what would happen if we reimagined the conceptual classifications of the various models of consciousness, classifications based on general philosophical dichotomies (e.g., representational/non-representational and individualist/non-individualist), as a variety of compatible and even complementary perspectives on the same complex phenomenon and process? What would happen if rather than dig in our heels vis-à-vis our favorite theory of consciousness, at the exclusion of all the others, we saw our perceived enemy as an actual, indeed necessary, friend-in-waiting? What would it take to see a battlefield as a collaborative opportunity, to see a promising pluralism rather than an endless state space of conflict? (shrink)

We can readily identify goal-directed systems and distinguish them from non-goal-directed systems. A woodpecker hunting for grubs is the first, a pendulum returning to rest is the second. But what is it to be a goal-directed system? Perhaps the dominant answer to this question, inspired by systems theories such as cybernetics, is that goal-directed systems are distinguished by their tendency to seek, aim at, or maintain some more-or-less easily identifiable goal. Cybernetics and the like would hold that physical systems subject (...) only to physical laws can exhibit such behavior. If sound, this systems approach to teleology would unify a diverse range of goal-directed phenomena and neatly side-step many traditional bogey-men of teleology, such as anthropomorphism and future causation. Goal-directed phenomena would be a normal feature of the natural causal world that could be described in purely descriptive and quantitative terms, and receive ordinary causal explanations. Thus, the systems approach promises to provide a naturalistic-cum-descriptive account of teleology suitable for use in naturalistic accounts of other phenomena, including the intentionality of mental states and even self-consciousness. (shrink)

As societies become increasingly technologised, the need for careful and critical assessment rises. However, attempts to assess or normatively evaluate technological development invariably meet with an antinomy: both structurally and historically, technologies display multistable possibilities regarding uses, effects, side effects and other outcomes. Philosophers, usually expected to play applied ethics roles, often come to the scene after these effects are known. But others who participate at the research and development stages find even more difficulties with prognosis. Recent work on ‘revenge’ (...) effects (Tenner) and negative side effects (Kevles) are examined, as well as several cases of philosophers in ‘R&D’ roles. After sketching the antinomy,I outline a heuristic pragmatics of prognosis that addresses this quandary. (shrink)