Human intuition and perception are basic and essential phenomena of consciousness. As such, they will never be replicated by computers. This is the challenging notion of Hubert Dreyfus, Ph. D., archcritic of the artificial intelligence establishment. It's important to emphasize that he doesn't believe that AI is fundamentally impossible, only that the current research program is fatally flawed. Instead, he argues that to get a device (or devices) with human-like intelligence would require them to have a human-like being in (...) the world, which would require them to have bodies more or less like ours, and social acculturation (i.e. a society) more or less like ours. This helps to explain the practical problems in implementing artificial intelligence algorithms. (shrink)

The following is a summary of the author’s five-stage model of adult skill acquisition, developed in collaboration with Hubert L. Dreyfus. An earlier version of this article appeared in chapter 1 of Mind Over Machine: The Power of Human Intuition and Expertise in the Era of the Computer (1986, Free Press, New York).

We assume that acting ethically is a skill. We then use a phenomenological description of five stages of skill acquisition to argue that an ethics based on principles corresponds to a beginner’s reliance on rules and so is developmentally inferior to an ethics based on expert response that claims that, after long experience, the ethical expert learns to respond appropriately to each unique situation. The skills model thus supports an ethics of situated involvement such as that of Aristotle, John Dewey, (...) and Carol Gilligan against the detached, rationalist ethics of Kant, John Rawls, Lawrence Kohlberg, and Jürgen Habermas. (shrink)

The acquisition of a new skill usually proceeds through five stages, from novice to expert, with a sixth stage of mastery available for highly motivated performers. In this chapter, we re-state the six stages of the Dreyfus Skill Model, paying new attention to the transitions and interrelations between them. While discussing the fifth stage, expertise, we unpack the claim that, “when things are proceeding normally, experts don’t solve problems and don’t make decisions; they do what normally works” (Dreyfus (...) & Dreyfus, 1988, pp. 30 – 31). This leads us to offer an account of the “perspectival deliberation” that arises for experts and masters and that is distinct from the calculative deliberation characteristic of the lower stages of skillfulness. (shrink)

The author proposes a neural-network-based explanation of how a brain might acquire intuitive expertise. The explanation is intended merely to be suggestive and lacks many complexities found in even lower animal brains. Yet significantly, even this simplified brain model is capable of explaining the acquisition of simple skills without developing articulable rules for behavior or a model of the skill domain or an explicit identification of which observables in the environment are necessary for skillful behavior. Furthermore, no memories of prior (...) experiences during the learning phase are explicitly stored and accessed during behavior. The explanation thus calls into doubt many conventional and intuitively reasonable assumptions concerning the learning and production of intuitive expertise. (shrink)

Influenced by recent neuroscientific research, the author proposes that the cognition underlying creativity should be seen as a sequential process requiring the appropriate interspersing of both intuitive and analytical modes of thought. Each of these modes may concern itself with either identifying the information that is the focus of potentially creative cognition or with the creative perspective from which to view the information. Here, perspective refers to the salience of various elements of the information set, of which some elements might (...) be seen as crucially important to a creative treatment of the situation, while other pieces of information may appear as merely contextually relevant. (shrink)

One's model of skill determines what one expects from neural network modelling and how one proposes to go about enhancing expertise. We view skill acquisition as a progression from acting on the basis of a rough theory of a domain in terms of facts and rules to being able to respond appropriately to the current situation on the basis of neuron connections changed by the results of responses to the relevant aspects of many past situations. Viewing skill acquisition in this (...) ways suggests how one can avoid the problem currently facing AI of how to train a network to make human-like generalizations. In training a network one must progress, as the human learner does, from rules and facts to wholistic responses. As to future work, from our perspective one should not try to enhance expertise as in traditional AI by attempting to construct improved theories of a domain, but rather by improving the learner's access to the relevant aspects of a domain so as to facilitate learning from experience. (shrink)

Dans la première préface à sa thèse Folie et déraison, Foucault remercie trois hommes qu’il considérait comme ses maîtres et qui ont considérablement influencé son travail. Ainsi, dans sa conférence inaugurale au Collège de France en décembre 1970, ces mêmes noms sont invoqués par Foucault : Georges Canguilhem, Georges Dumézil et Jean Hyppolite. Le rapport de ces trois figures, considérées individuellement, à Foucault a été sujet de discussions plus ou moins détaillées. Cet article explore les affinités intellectuelles et les tensions (...) entre ces trois intellectuels. Canguilhem et Hyppolite avaient été contemporains à l’École Normale Supérieure dans les années 1920, et, des années après, collègues à l’Université de Strasbourg. Notamment, en 1965, ils participent à l’entretien télévisé médié par Alain Badiou et Dina Dreyfus. Même si Dumézil et Hyppolite avaient été collègues au Collège de France, ils n’ont pas discuté les travails l’un de l’autre. Dumézil, il semble, n’a pas discuté le travail de Canguilhem ; ce dernier, en revanche, a considéré soit l’œuvre de Dumézil que celle d’Hyppolite. Cet article analyse le compte rendu de Les mots et les choses par Canguilhem, où il signale l’importance de Dumézil pour le livre de Foucault ; et un rapport d’un séminaire très peu connu, qui a eu lieu dans l’automne 1970, dont Foucault discute les travaux de Dumézil et Canguilhem répondit. L’article donc considère la lecture d’Hyppolite par Canguilhem dans son texte « Hegel en France », et dans les hommages qu’il a écrit à son ami et collègue, après la mort d’Hyppolite en 1968. Une analyse de la lecture de Canguilhem de ses deux contemporains nous aide à mieux situer Canguilhem dans le contexte des débats intellectuels de la première moitié du XX e siècle. (shrink)

This chapter provides a classification scheme for artificial intelligence (AI) predictions, and tools for analyzing their reliability and uncertainties. It presents a series of brief case studies of some of the most famous AI predictions: the initial Dartmouth AI conference; Hubert Dreyfus' criticism of AI; Ray Kurzweil's predictions in The Age of Spiritual Machines; and Stephen Omohundro's AI Drives. The chapter takes every falsifiable statement about future AI to be a prediction. Thus the following four categories are all predictions: (...) Timelines and outcome predictions, Scenarios, Plans, and Issues and metastatements. The following schema was suggested by a review of the AI predictions literature : Causal models, Non‐causal models, The outside view, Philosophical arguments, and Expert judgment. The chapter looks at four prominent AI predictions, and analyses their accuracy, attempting to gain insights that will be useful for assessing future prediction. (shrink)

The work consists mainly of a critical examination of various arguments which seek to show that machines cannot do something which humans can do. In particular the abilities to think, act intelligently, and behave purposefully are examined. The arguments dealt with are from works by Alan Turing, Keith Gunderson, Hubert Dreyfus, Richard Taylor, and Norman Malcolm. The author also considers an argument of his own against machines being able to make mistakes. The main conclusion of the work is that (...) each of the arguments in question fails. That is, none of the arguments show that machines lack the ability in question. (shrink)

A great deal of effort has been, and continues to be, devoted to developing consciousness artificially (A small selection of the many authors writing in this area includes: Cotterill (J Conscious Stud 2:290–311, 1995 , 1998 ), Haikonen ( 2003 ), Aleksander and Dunmall (J Conscious Stud 10:7–18, 2003 ), Sloman ( 2004 , 2005 ), Aleksander ( 2005 ), Holland and Knight ( 2006 ), and Chella and Manzotti ( 2007 )), and yet a similar amount of effort has (...) gone in to demonstrating the infeasibility of the whole enterprise (Most notably: Dreyfus ( 1972/1979 , 1992 , 1998 ), Searle ( 1980 ), Harnad (J Conscious Stud 10:67–75, 2003 ), and Sternberg ( 2007 ), but there are a great many others). My concern in this paper is to steer some navigable channel between the two positions, laying out the necessary pre-conditions for consciousness in an artificial system, and concentrating on what needs to hold for the system to perform as a human being or other phenomenally conscious agent in an intersubjectively-demanding social and moral environment. By adopting a thick notion of embodiment—one that is bound up with the concepts of the lived body and autopoiesis (Maturana and Varela 1980 ; Varela et al. 2003 ; and Ziemke 2003 , 2007a , J Conscious Stud 14(7):167–179, 2007b )—I will argue that machine phenomenology is only possible within an embodied distributed system that possesses a richly affective musculature and a nervous system such that it can, through action and repetition, develop its tactile-kinaesthetic memory, individual kinaesthetic melodies pertaining to habitual practices, and an anticipatory enactive kinaesthetic imagination. Without these capacities the system would remain unconscious, unaware of itself embodied within a world. Finally, and following on from Damasio’s ( 1991 , 1994 , 1999 , 2003 ) claims for the necessity of pre-reflective conscious, emotional, bodily responses for the development of an organism’s core and extended consciousness, I will argue that without these capacities any agent would be incapable of developing the sorts of somatic markers or saliency tags that enable affective reactions, and which are indispensable for effective decision-making and subsequent survival. My position, as presented here, remains agnostic about whether or not the creation of artificial consciousness is an attainable goal. (shrink)

In this work, Mill reflects on the struggle between liberty and authority and defends the view that “the only purpose for which power can be rightfully exercised over any member of a civilized community, against his will, is to prevent harm to others.” He questions the justification for the limits of freedom of conscience and religion, freedom of speech, freedom of action, and the nature of liberalism itself. This new Broadview Edition demonstrates the ways in which Mill’s intellectual landscape differed (...) markedly from our own, while also drawing attention to the reasons why the work remains relevant and essential reading in the present day. Appendices include antecedents to Mill’s work, critical discussions by his contemporaries, and related writings by Mill. Please note: Broadview offers two separate editions of On Liberty. The Kahn edition is particularly relevant to readers who are interested in how the work is situated in the history of political philosophy, whereas the Alexander edition is recommended to those most interested in the work’s Victorian literary and social contexts. (shrink)

On 26 August 1974, Michel Foucault completed work on Discipline and Punish, and on that very same day began writing the first volume of The History of Sexuality. A little under ten years later, on 25 June 1984, shortly after the second and third volumes were published, he was dead. This decade is one of the most fascinating of his career. It begins with the initiation of the sexuality project, and ends with its enforced and premature closure. Yet in 1974 (...) he had something very different in mind for The History of Sexuality than the way things were left in 1984. Foucault originally planned a thematically organised series of six volumes, but wrote little of what he promised and published none of them. Instead over the course of the next decade he took his work in very different directions, studying, lecturing and writing about historical periods stretching back to antiquity. This book offers a detailed intellectual history of both the abandoned thematic project and the more properly historical version left incomplete at his death. It draws on all Foucault’s writings in this period, his courses at the Collège de France and lectures elsewhere, as well as material archived in France and California to provide a comprehensive overview and synthetic account of Foucault’s last decade. (shrink)

Grand Hotel Abyss investigates the lives and afterlives of the critical theorists who formed the Frankfurt School.

L'action et la pensee de Dina Dreyfus (1911-1999), ne furent pas moins clandestines qu'importantes. Restee dans l'ombre de son premier mari, Claude Levi-Strauss, dont on ignore trop souvent qu'elle fut la co-organisatrice de la mission Claude et Dina Levi-Strauss sur les Indiens du Mato-Grosso, Dina Dreyfus fut pourtant une ethnologue de terrain, qui sut participer activement a la fondation et au rayonnement de la discipline. Pendant la guerre, ses actes de resistance dans les reseaux montpellierains, furent menes dans (...) la clandestinite alors qu'elle enseignait sous la fausse identite de Denise Roche. Enfin, elle concut son travail d'enseignant puis d'inspecteur general de philosophie comme une mission au service des eleves et des enseignants. Elle fut la premiere a comprendre l'utilite des differents medias dans l'enseignement. (shrink)

As Nelson Goodman highlighted, there are two main senses of “abstract” that can be found in discussions about abstract art. On the one hand, a representation is abstract if it leaves out certain features of its target. On the other hand, something can be abstract to the extent that it does not represent a concrete subject. The first sense of “abstract” is well-known in philosophy of science. For example, philosophers discuss mathematical models of physical, biological, and economic systems as being (...) abstract in this sense. However, it is the second sense that dominates discussions of abstract art in aesthetics. For example, abstract art was (and is) considered revolutionary precisely for being non-figurative. Through an analysis of artists including Kandinsky, Malevich, and Mondrian, we develop a reading of this second sense, which we call “generative abstraction,” as opposed to “subtractive” abstraction. Generative abstraction is a process in which a new artifact is created which does not represent the initial concrete target system that inspired it (if there was one), where the artifact’s features are explored for their own sake, and where the “language” of the new artifact is in some way more “universal.” Focusing on this sense of abstraction is helpful in revealing the complexity of the process of crafting an abstract artifact, in problematizing the notion that abstraction can always be un-done (or concretized), as well as revealing new ways for abstractions to be epistemically (un)successful. (shrink)

Although republican political theory has undergone something of a revival in recent years, some question its contemporary relevance on the grounds that republicanism has little to say about central questions of modern economic organization. In response, this paper offers an account of core republican values and then considers how capitalism stands in relation to these values. It identifies three areas of republican concern related to: the impact of unequal wealth distribution on personal liberty; the impact of the private control of (...) investment on popular sovereignty and pursuit of the common good; and the impact of capitalism on the level and quality of political participation. In view of these concerns, we can see some of the likely requirements of a distinctively republican, but contemporary political economy. (shrink)

Imagination is important for many things in science: solving problems, interpreting data, designing studies, etc. Philosophers of imagination typically account for the productive role played by imagination in science by focusing on how imagination is constrained, e.g., by using self-imposed rules to infer logically, or model events accurately. But the constraints offered by these philosophers either constrain too much, or not enough, and they can never account for uses of imagination that are needed to break today’s constraints in order to (...) make progress tomorrow. Thus, epistemology of imagination needs to make room for an element of epistemological anarchy. (shrink)

While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...) robot blame, namely the folk's willingness to ascribe inculpating mental states or "mens rea" to robots. In a vignette-based experiment (N=513), we presented participants with a situation in which an agent knowingly runs the risk of bringing about substantial harm. We manipulated agent type (human v. group agent v. AI-driven robot) and outcome (neutral v. bad), and measured both moral judgment (wrongness of the action and blameworthiness of the agent) and mental states attributed to the agent (recklessness and the desire to inflict harm). We found that (i) judgments of wrongness and blame were relatively similar across agent types, possibly because (ii) attributions of mental states were, as suspected, similar across agent types. This raised the question - also explored in the experiment - whether people attribute knowledge and desire to robots in a merely metaphorical way (e.g., the robot "knew" rather than really knew). However, (iii), according to our data people were unwilling to downgrade to mens rea in a merely metaphorical sense when given the chance. Finally, (iv), we report a surprising and novel finding, which we call the inverse outcome effect on robot blame: People were less willing to blame artificial agents for bad outcomes than for neutral outcomes. This suggests that they are implicitly aware of the dangers of overattributing blame to robots when harm comes to pass, such as inappropriately letting the responsible human agent off the moral hook. (shrink)

Imagination is necessary for scientific practice, yet there are no in vivo sociological studies on the ways that imagination is taught, thought of, or evaluated by scientists. This article begins to remedy this by presenting the results of a qualitative study performed on two systems biology laboratories. I found that the more advanced a participant was in their scientific career, the more they valued imagination. Further, positive attitudes toward imagination were primarily due to the perceived role of imagination in problem-solving. (...) But not all problem-solving episodes involved clear appeals to imagination, only maximally specific problems did. This pattern is explained by the presence of an implicit norm governing imagination use in the two labs: only use imagination on maximally specific problems, and only when all other available methods have failed. This norm was confirmed by the participants, and I argue that it has epistemological reasons in its favour. I also found that its strength varies inversely with career stage, such that more advanced scientists do (and should) occasionally bring their imaginations to bear on more general problems. A story about scientific pedagogy explains the trend away from (and back to) imagination over the course of a scientific career. Finally, some positive recommendations are given for a more imagination-friendly scientific pedagogy. (shrink)

Can an ugly experiment be a good experiment? Philosophers have identified many beautiful experiments and explored ways in which their beauty might be connected to their epistemic value. In contrast, the present chapter seeks out (and celebrates) ugly experiments. Among the ugliest are those being designed by AI algorithms. Interestingly, in the contexts where such experiments tend to be deployed, low aesthetic value correlates with high epistemic value. In other words, ugly experiments can be good. Given this, we should conclude (...) that beauty is not generally necessary or sufficient for epistemic value, and increasing beauty will not generally tend to increase epistemic value. (shrink)

Against Davidsonian (or deflationary) realism, it is argued that it is coherent to believe that science can in principle give us access to the functional components of the universe as they are in themselves in distinction from how they appear to us on the basis of our quotidian concerns or sensory capacities. The first section presents the deflationary realist's argument against independence. The second section then shows that, although Heidegger pioneered the deflationary realist account of the everyday, he sought to (...) establish a robust realist account of science. Next, the third section develops two different sides of Heidegger's thinking. Resources developed by Thomas Kuhn are drawn on to work out Heidegger's account of plural worlds. This argument shows that it makes sense to talk about things-in-themselves independent of our practices, but falls short of the robust realist claim that we can have access to things as they are in themselves independent of our practices. So, secondly, Saul Kripke's account of rigid designation is drawn on to work out Heidegger's account of formal designation. On the basis of a Heideggerian elaboration of rigid designation, it is argued that we do indeed have practices for achieving access to things independent of all our practices. But this second argument leaves us unable to reject metaphysical nominalism. So, thirdly, it is proposed that the currently most persuasive philosophical argument for nominalism depends on a logico-mathematical space of possibilities. But the proto-theoretical space opened by the pre-scientific access practices has features that provide reasons for believing that the independent stuff to which we have access has a determinate structure and specific causal powers. (shrink)

After a year at Brandeis I was hired by MIT, and then I realized for the first time that there was a struggle and that I was on the losing end of it. The people there, particularly Judith Thomson, who is still at MIT, called Continental philosophy “stone-age philosophy,” and wouldn’t let me teach in the graduate program at all, because they thought that it would just corrupt the students and waste their time. I did feel a little unhappy because (...) I wasn’t allowed to teach graduate students, but not very, because I had never taught graduate students, so I didn’t think I had to, and I was still feeling grateful that I could teach philosophy anywhere at all. And I had Todes to talk to, and he was writing his brilliant thesis. (shrink)

A thorough-going re-elaboration of modern experience via the senses.

The last three decades have witnessed a heated debate of the merits of intelligent design (ID) as a way to understand a number of observable natural phenomena. The present dispute has its roots in a much older discussion: that of natural theology, which has always had as its goal the discernment of design(s) attributable to God in the natural world. Despite its ongoing relevance, natural theology does not have a coherent scholarly history. Turning Points in Natural Theology from Bacon to (...) Darwin deftly fills that gap, analysing the argument of design during the period from Francis Bacon (1561-1626) to Charles Darwin (1809-82), with a specific focus on those moments at which the rhetorical terms changed significantly. (shrink)

Scientists imagine constantly. They do this when generating research problems, designing experiments, interpreting data, troubleshooting, drafting papers and presentations, and giving feedback. But when and how do scientists learn how to use imagination? Across 6 years of ethnographic research, it has been found that advanced career scientists feel comfortable using and discussing imagination, while graduate and undergraduate students of science often do not. In addition, members of marginalized and vulnerable groups tend to express negative views about the strength of their (...) imaginations and the general usefulness of imagination in science. After introducing these findings and discussing the typical relationship between a scientist and their imagination across a career, we argue that reducing the number or power of active imaginations in science is epistemically counterproductive. We suggest several ways to bring imagination back into science in a more inclusive way, especially through courses on imagination for scientists, good role models, and exemplar-based learning. (shrink)

Moral philosophy is the study of what morality is and what it requires of us. As Socrates said, it's about "how we ought to live"-and why. It would be helpful if we could begin with a simple, uncontroversial definition of what morality is. Unfortunately, we cannot. There are many rival theories, each expounding a different conception of what it means to live morally, and any definition that goes beyond Socrates's simple formula-tion is bound to offend at least one of them. (...) This should make us cautious, but it need not paralyze us. In this chapter, I will describe the "minimum conception" of morality. (shrink)

Is there enough progress in philosophy? It is notable that even within the discipline, opinions are divided. Optimists think there is more than enough progress in philosophy. Pessimists think we could and should do better. In this chapter I defend an optimistic answer to this question.