One of the more compelling features of Denis Dutton’s The Art Instinct is its theoretical parsimony. Utilizing what essentially amounts to one explanatory principle—that of Darwinian selection—Dutton advances a theory of aesthetics that is at once general enough to account for cross-cultural variations in artistic production and sufficiently nuanced to promote insights into individual artworks. In doing this, Dutton’s work could not offer a greater contrast to some of the more vocal trends in contemporary aesthetic theory, where ponderous theorizing and (...) rebarbative jargons have violently opposed the idea—otherwise so modest—that aesthetic activities might draw on the evolved capacities of the human imagination. On .. (shrink)

Mahadevan proposes that we are at the cusp of imagination science, one of whose primary concerns will be the design of imagination machines. Programs have been written that are capable of generating jokes, producing line-drawings that have been exhibited at such galleries as the Tate, composing music in several styles reminiscent of such greats as Vivaldi and Mozart, proving geometry theorems, and inducing quantitative laws from empirical data. In recent years, Dartmouth has been hosting Turing Tests in (...) creativity in three categories: short stories, sonnets, and dance music DJ sets. In this post, I will provide a brief and non-exhaustive survey of some plausible responses to these imagination machines and the related prospects for our understanding of the imagination. (shrink)

In philosophy of emerging media, several scholars have insisted on the fact that the “new” of new technologies does not have much to do with communication, but rather with the exponential growth of recording. In this paper, instead, the thesis advanced is that digital technologies do not concern memory, but imagination, and more precisely, what philosophers from Kant onwards have called productive imagination. In this paper, however, the main reference will not be Kant, but Paul Ricoeur, who explicitly (...) refers to the Kantian productive imagination in his works, but also offered an externalized, semioticized, and historicized interpretation of it. The article is developed in three steps. In the first section, it deals with Ricoeur’s theory of narrative, based on the notions of mimesis and mythos. In the second section, it is first argued that human imagination is always-already extended. Second, it will be shown how mimesis and mythos are precisely the way software works. In the third section, the specificity of big data is introduced. Big data is the promise of giving our actions and existences a meaning that we are incapable of perceiving, for lack of sensibility and understanding. Scholars have used the Foucauldian concepts of panopticon and confession for describing the human condition in the digital age. In the conclusion, it is argued that big data makes any form of disclosure unnecessary. Big data is an ensemble of technological artifacts, methods, techniques, practices, institutions, and forms of knowledge aiming at taking over the way someone narratively accounts for himself or herself before the others. Hence, another Foucauldian notion is representative of this age: the parrhesia, to speak candidly, and to take a risk in speaking the truth, insofar as such a possibility is anesthetized. (shrink)

Machine vision is one of the main applications of artificial intelligence. In China, the machine vision industry makes up more than a third of the national AI market, and technologies like face recognition, object tracking and automated driving play a central role in surveillance systems and social governance projects relying on the large-scale collection and processing of sensor data. Like other novel articulations of technology and society, machine vision is defined, developed and explained by different actors through the work of (...) imagination. In this article, we draw on the concept of sociotechnical imaginaries to understand how Chinese companies represent machine vision. Through a qualitative multimodal analysis of the corporate websites of leading industry players, we identify a cohesive sociotechnical imaginary of machine vision, and explain how four distinct visual registers contribute to its articulation. These four registers, which we call computational abstraction, human–machine coordination, smooth everyday, and dashboard realism, allow Chinese tech companies to articulate their global ambitions and competitiveness through narrow and opaque representations of machine vision technologies. (shrink)

In philosophy of emerging media, several scholars have insisted on the fact that the “new” of new technologies does not have much to do with communication, but rather with the exponential growth of recording. In this paper, instead, the thesis advanced is that digital technologies do not concern memory, but imagination, and more precisely, what philosophers from Kant onwards have called productive imagination. In this paper, however, the main reference will not be Kant, but Paul Ricoeur, who explicitly (...) refers to the Kantian productive imagination in his works, but also offered an externalized, semioticized, and historicized interpretation of it. The article is developed in three steps. In the first section, it deals with Ricoeur’s theory of narrative, based on the notions of mimesis and mythos. In the second section, it is first argued that human imagination is always-already extended. Second, it will be shown how mimesis and mythos are precisely the way software works. In the third section, the specificity of big data is introduced. Big data is the promise of giving our actions and existences a meaning that we are incapable of perceiving, for lack of sensibility (i.e., data) and understanding (i.e., algorithms). Scholars have used the Foucauldian concepts of panopticon and confession for describing the human condition in the digital age. In the conclusion, it is argued that big data makes any form of disclosure unnecessary. Big data is an ensemble of technological artifacts, methods, techniques, practices, institutions, and forms of knowledge aiming at taking over the way someone narratively accounts for himself or herself before the others. Hence, another Foucauldian notion is representative of this age: the parrhesia, to speak candidly, and to take a risk in speaking the truth, insofar as such a possibility is anesthetized. (shrink)

Machine consciousness exists already in organic systems and it is only a matter of time -- and some agreement -- before it will be realised in reverse-engineered organic systems and forward- engineered inorganic systems. The agreement must be over the preconditions that must first be met if the enterprise is to be successful, and it is these preconditions, for instance, being a socially-embedded, structurally-coupled and dynamic, goal-directed entity that organises its perceptual input and enacts its world through the application of (...) both a cognitive and kinaesthetic imagination, that I shall concentrate on presenting in this paper. It will become clear that these preconditions will present engineers with a tall order, but not, I will argue, an impossible one. After all, we might agree with Freeman and Núñez's claim that the machine metaphor has restricted the expectations of the cognitive sciences (Freeman & Núñez, 1999); but it is a double-edged sword, since our limited expectations about machines also narrow the potential of our cognitive science. (shrink)

As non-biological machines come to be designed in ways which exhibit characteristics comparable to human mental states, the manner in which the law treats these entities will become increasingly important both to designers and to society at large. The direct question will become whether, given certain attributes, a non-biological machine could ever be viewed as a legal person. In order to begin to understand the ramifications of this question, this paper starts by exploring the distinction between the related concepts (...) of human, person, and property. Once it is understood that person in the legal sense can apply to a non-biological entity such as a corporation, the inquiry then goes on to examine the folk psychology view of intentionality and the concept of autonomy. The conclusion reached is that these two attributes can support the view that a non-biological machine, at least in theory, can be viewed as a legal person. (shrink)

In this article we introduce the concept of implied optical perspective in deep learning computer vision systems. Taking the BBC's experimental television programme “Made by Machine: When AI met the Archive” as a case study, we trace a conceptual and material link between the system used to automatically “watch” the television archive and a specific type of photographic practice. From a computational aesthetics perspective, we show how deep learning machine vision relies on photography, its technical regimes and epistemic advantages, and (...) we propose a novel way to identify the latent camera through which the BBC archive was seen by machine. (shrink)

When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would (...) bar them from such activity? A close look at the methodology of interpretive social science reveals several abilities necessary to make a social scientific discovery, and one capacity necessary to possess any of them is imagination. For machines to make discoveries in social science, therefore, they must possess imagination algorithms. (shrink)

The question of the imagination is rather like the question Augustine raised with regard to the nature of time. We all seem to know what it involves, yet find it difficult to define. For Descartes, the imagination was simply our faculty for producing a mental image. He distinguished it from the understanding by noting that while the notion of a thousand sided figure was comprehensible—that is, was sufficiently clear and distinct to be differentiated from a thousand and one (...) sided figure—the figure could not be clearly pictured in our mind. The representation of its sides exceeded our powers of imagination.[i] This view of the imagination as our ability to produce a mental image fails, however, to distinguish it from remembering. Let us say that I see an object and then I close my eyes, maintaining the image of the object. Is this imagining or short term memory? What about the case when I recall this image an hour later? Am I imagining or remembering it? Such examples make it clear that imagination, as distinct from memory, implies something more than the ability to produce a mental image. It involves, as Sartre pointed out, a certain attitude towards this image. Engaging in it, we deny its reality. In Sartre’s words, imagination “carries within it a double negation; first, it is the nihilation of the world (since the world is not offering the imagined object as an actual object of perception), secondly, the nihilation of the object of the image (it is posited as not actual) ...” (BN, p. 62). Imagination, then, represents the imagined as nonactual. (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)

Scholars widely assume that the term generation, is preferable to reproduction in the context of early modern history, based on the premise that reproduction to mean procreation was not in use until the end of the eighteenth century. This shift in usage presumably corresponds to the rise of mechanistic philosophy; feminist scholarship, particularly that deriving from the hostile critique fashionable in the 1980s has claimed reproduction is associated with medical practitioners’ perceptions of women as baby-producing machines. However, this interpretation, (...) whether in the interests of gender politics or reiterated in more sympathetic histories, misrepresents the historical record. (shrink)

Artificial intelligence is becoming increasingly entwined with our daily lives: AIs work as assistants through our phones, control our vehicles, and navigate our vacuums. As these objects become more complex and work within our societies in ways that affect our well-being, there is a growing demand for machine ethics—we want a guarantee that the various automata in our lives will behave in a way that minimizes the amount of harm they create. Though many technologies exist as moral artifacts, the development (...) of a truly ethical AI system is highly contentious; theorists have proposed and critiqued countless possibilities for programming these agents to become ethical. Many of these arguments, however, presuppose the possibility that an artificially intelligent system can actually be ethical. In this essay, I will explore a potential path to AI ethics by considering the role of imagination in the deliberative process via the work of John Dewey and his interpreters, showcasing one form of reinforcement learning that mimics imaginative deliberation. With these components in place, I contend that such an artificial agent is capable of something very near ethical behavior—close enough that we may consider it so. (shrink)

Steinman indicates that his ability to understand beauty is limited by his imagination. Beauty, as it has been traditionally defined, is an ultimate value, an ideal on same level as truth and goodness. Many of the ancient Greeks believed that symmetry represented order, and order was beautiful because it revealed a type of cosmic justice and truth that no person could deny. So, when Steinman's application of beauty comes into play, he is definitely emphasizing the order and justice that (...) beauty provides. The player of BioShock is introduced to a world quite familiar to ours, not necessarily in sense of Rapture, underwater cities, or vintage décor, but rather in the form of worldview. The vending machines are not coincidentally called Circus of Values. As players, one have value in surviving (intrinsic) so one will do whatever one can to survive, including buying or hacking vending machines with supplies (extrinsic value). (shrink)

In this Element, we’ll explore the nature of both imagination and creative thinking in an effort to understand the relation between them and also to understand their role in the vast array of activities in which they are typically implicated, from art, music, and literature to technology, medicine, and science. Focusing on the contemporary philosophical literature, we will take up several interrelated questions: What is imagination, and how does it fit into the cognitive architecture of the mind? What (...) is creativity? Is imagination required for creativity? Is creativity required for imagination? Is a person simply born either imaginative or not (and likewise, either creative or not), or are imagination and creativity skills that can be cultivated? And finally, are imagination and creativity uniquely human capacities, or can they be had by nonbiological entities such as AI systems? (shrink)

Decisions based on algorithmic, machine learning models can be unfair, reproducing biases in historical data used to train them. While computational techniques are emerging to address aspects of these concerns through communities such as discrimination-aware data mining and fairness, accountability and transparency machine learning, their practical implementation faces real-world challenges. For legal, institutional or commercial reasons, organisations might not hold the data on sensitive attributes such as gender, ethnicity, sexuality or disability needed to diagnose and mitigate emergent indirect discrimination-by-proxy, such (...) as redlining. Such organisations might also lack the knowledge and capacity to identify and manage fairness issues that are emergent properties of complex sociotechnical systems. This paper presents and discusses three potential approaches to deal with such knowledge and information deficits in the context of fairer machine learning. Trusted third parties could selectively store data necessary for performing discrimination discovery and incorporating fairness constraints into model-building in a privacy-preserving manner. Collaborative online platforms would allow diverse organisations to record, share and access contextual and experiential knowledge to promote fairness in machine learning systems. Finally, unsupervised learning and pedagogically interpretable algorithms might allow fairness hypotheses to be built for further selective testing and exploration. Real-world fairness challenges in machine learning are not abstract, constrained optimisation problems, but are institutionally and contextually grounded. Computational fairness tools are useful, but must be researched and developed in and with the messy contexts that will shape their deployment, rather than just for imagined situations. Not doing so risks real, near-term algorithmic harm. (shrink)

We propose that the prevalent moral aversion to AWS is supported by a pair of compelling objections. First, we argue that even a sophisticated robot is not the kind of thing that is capable of replicating human moral judgment. This conclusion follows if human moral judgment is not codifiable, i.e., it cannot be captured by a list of rules. Moral judgment requires either the ability to engage in wide reflective equilibrium, the ability to perceive certain facts as moral considerations, moral (...) imagination, or the ability to have moral experiences with a particular phenomenological character. Robots cannot in principle possess these abilities, so robots cannot in principle replicate human moral judgment. If robots cannot in principle replicate human moral judgment then it is morally problematic to deploy AWS with that aim in mind. Second, we then argue that even if it is possible for a sufficiently sophisticated robot to make ‘moral decisions’ that are extensionally indistinguishable from (or better than) human moral decisions, these ‘decisions’ could not be made for the right reasons. This means that the ‘moral decisions’ made by AWS are bound to be morally deficient in at least one respect even if they are extensionally indistinguishable from human ones. Our objections to AWS support the prevalent aversion to the employment of AWS in war. They also enjoy several significant advantages over the most common objections to AWS in the literature. (shrink)

ABSTRACT How can imagination generate knowledge when its contents are voluntarily determined? Several philosophers have recently answered this question by pointing to the constraints that underpin imagination when it plays knowledge-generating roles. Nevertheless, little has been said about the nature of these constraints. In this paper, I argue that the constraints that underpin sensory imagination come from the structure of causal probabilistic generative models, a construct that has been highly influential in recent cognitive science and machine learning. (...) I highlight several attractions of this account, and I favourably contrast it with Peter Langland-Hassan’s account of sensory imagination in terms of the forward models exploited in sensorimotor control. (shrink)

ABSTRACT How can imagination generate knowledge when its contents are voluntarily determined? Several philosophers have recently answered this question by pointing to the constraints that underpin imagination when it plays knowledge-generating roles. Nevertheless, little has been said about the nature of these constraints. In this paper, I argue that the constraints that underpin sensory imagination come from the structure of causal probabilistic generative models, a construct that has been highly influential in recent cognitive science and machine learning. (...) I highlight several attractions of this account, and I favourably contrast it with Peter Langland-Hassan’s account of sensory imagination in terms of the forward models exploited in sensorimotor control. (shrink)

An emerging discourse about automated agricultural machinery imagines farms as places where farmers and workers do not need to be, but also implicitly frames farms as intolerable places where people do not want to be. Only autonomous machines, this story goes, can relieve farmers and workers of this presumed burden by letting them ‘farm at a distance’. In return for this distanced autonomy, farmers are promised increased control over their work-life balance and greater farm productivity from letting ‘smart’ robots (...) assume control over the operational environment. Drawing upon the ways that these machines are promoted by manufacturers in various media, we trace the nascent contours of what we term a liberatory sociotechnical imaginary for agricultural automation across three cases—automated milking systems, self-driving tractors, and robotic strawberry pickers. We show how promises for new freedoms and autonomy are flexibly deployed to respond to distinct frictions that farmers, workers, and even farm animals experience in different modes of industrial agriculture. However, underlying these promises is the purposefully understated self-interest of manufacturers, who stand to gain further control over farms if automated technologies assume a central role in agriculture. Through the liberatory rhetoric, we contend, the imaginary seeks to enroll farmers into a socio-technical network that creates new relations of dependence upon the companies who design, sell, maintain, and often retain ownership over automated technologies. While potentially powerful, this imaginary may nonetheless fail to coalesce as farmers, workers, and agroecosystems exert their own agency on automated imaginaries and technological futures for agriculture. (shrink)

We commonly evaluate search engines and the results they return, but what grounds those evaluations? One straightforward way of evaluating search engines appeals to their ability to satisfy the goals of the user. Are there, in addition, user-independent norms, that allow us to evaluate search engines in ways that may come apart from their ability to satisfy the individuals who use them? One way of grounding such norms appeals to moral or political considerations. I argue that in addition to those (...) norms, there are also distinct user-independent epistemic norms that apply to search engines. Evaluating search engines relative to them, however, requires us to appreciate the impact search engines have on our practices and norms of inquiry more broadly: by systematically altering the accessibility of information, search engines don’t just give us information but shape our collective imagination, and the categories it operates over. (shrink)

Machines will attain human levels of intelligence by the year 2040, predicts robotics expert Hans Moravec. And by 2050, they will have far surpassed us. In this mind-bending new book, Hans Moravec takes the reader on a roller coaster ride packed with such startling predictions. He tells us, for instance, that in the not-too-distant future, an army of robots will displace workers, causing massive, unprecedented unemployment. But then, says Moravec, a period of very comfortable existence will follow, as humans (...) benefit from a fully automated economy. And eventually, as machines evolve far beyond humanity, robots will supplant us. But if Moravec predicts the end of the domination by human beings, his is not a bleak vision. Far from railing against a future in which machines rule the world, Moravec embraces it, taking the startling view that intelligent robots will actually be our evolutionary heirs. "Intelligent machines, which will grow from us, learn our skills, and share our goals and values, can be viewed as children of our minds." And since they are our children, we will want them to outdistance us. In fact, in a bid for immortality, many of our descendants will choose to transform into "ex humans," as they upload themselves into advanced computers. We will become our children and live forever. In his provocative new book, the highly anticipated follow-up to his bestselling volume Mind Children, Moravec charts the trajectory of robotics in breathtaking detail. A must read for artificial intelligence, technology, and computer enthusiasts, Moravec's freewheeling but informed speculations present a future far different than we ever dared imagine. (shrink)

John Searle has argued that one can imagine embodying a machine running any computer program without understanding the symbols, and hence that purely computational processes do not yield understanding. The disagreement this argument has generated stems, I hold, from ambiguity in talk of 'understanding'. The concept is analysed as a relation between subjects and symbols having two components: a formal and an intentional. The central question, then becomes whether a machine could possess the intentional component with or without the formal (...) component. I argue that the intentional state of a symbol's being meaningful to a subject is a functionally definable relation between the symbol and certain past and present states of the subject, and that a machine could bear this relation to a symbol. I sketch a machine which could be said to possess, in primitive form, the intentional component of understanding. Even if the machine, in lacking consciousness, lacks full understanding, it contributes to a theory of understanding and constitutes a counterexample to the Chinese Room argument. (shrink)

A common and enduring early modern intuition is that materialists reduce organisms in general and human beings in particular to automata. Wasn’t a famous book of the time entitled L’Homme-Machine? In fact, the machine is employed as an analogy, and there was a specifically materialist form of embodiment, in which the body is not reduced to an inanimate machine, but is conceived as an affective, flesh-and-blood entity. We discuss how mechanist and vitalist models of organism exist in a more complementary (...) relation than hitherto imagined, with conceptions of embodiment resulting from experimental physiology. From La Mettrie to Bernard, mechanism, body and embodiment are constantly overlapping, modifying and overdetermining one another; embodiment came to be scientifically addressed under the successive figures of vie organique and then milieu intérieur, thereby overcoming the often lamented divide between scientific image and living experience. (shrink)

In this article I explore various facets of Nozick’s famous thought experiment involving the experience machine. Nozick’s original target is hedonism—the view that the only intrinsic prudential value is pleasure. But the argument, if successful, undermines any experientialist theory, i.e. any theory that limits intrinsic prudential value to mental states. I first highlight problems arising from the way Nozick sets up the thought experiment. He asks us to imagine choosing whether or not to enter the machine and uses our choice (...) (or rather the choice he assumes most people will have) as evidence against experientialist theories. But for this strategy to succeed it must be possible to distinguish between self-interested and non-self-interested reasons for declining to enter the machine, and there is no obvious way to do this without begging the question against the hedonist. In successive sections I then (a) consider a common misconception of Nozick’s conclusion (that he thinks machine life is the worst life), (b) consider different intuitions about what is important to well-being but missing from machine life, and finally (c) explain what “the experience requirement” is, and describe its relationship to debates about experientialist theories. (shrink)

In his classic work Anarchy, State and Utopia, Robert Nozick asked his readers to imagine being permanently plugged into a 'machine that would give you any experience you desired'. The authors in this volume re-evaluate the merits of Nozick’s argument, and use it to examine subsequent developments in culture and technology.

John Searle has argued that one can imagine embodying a machine running any computer program without understanding the symbols, and hence that purely computational processes do not yield understanding. The disagreement this argument has generated stems, I hold, from ambiguity in talk of 'understanding'. The concept is analysed as a relation between subjects and symbols having two components: a formal and an intentional. The central question, then becomes whether a machine could possess the intentional component with or without the formal (...) component. I argue that the intentional state of a symbol's being meaningful to a subject is a functionally definable relation between the symbol and certain past and present states of the subject, and that a machine could bear this relation to a symbol. I sketch a machine which could be said to possess, in primitive form, the intentional component of understanding. Even if the machine, in lacking consciousness, lacks full understanding, it contributes to a theory of understanding and constitutes a counterexample to the Chinese Room argument. (shrink)

This article addresses “Creativity after Computation” by looking into the concept of artificial imagination, namely the machine’s ability to produce images that challenge artmaking and surprise human beings with the aid of machine learning algorithms. What is at stake is not only art and creativity but also the tension between the determination of machines and the freedom of human beings. This opposition restages Kant’s third antinomy in the contemporary technological condition. By referring to the debate on the question (...) of imagination in Kant, Heidegger, and Stiegler, the article suggests that imagination is always already artificial and that it is more productive to develop an organology of artificial imagination. It clarifies the notion of artificial imagination and offers an organological reading through a reinterpretation of Leibniz’s monadology, Kant’s sublime, and Schiller’s aesthetic education against the backdrop of recursive algorithms. (shrink)

"Taken as a trilogy, _consent not to be a single being_ is a monumental accomplishment: a brilliant theoretical intervention that might be best described as a powerful case for blackness as a category of analysis."—Brent Hayes Edwards, author of _Epistrophies: Jazz and the Literary Imagination_ In _The Universal Machine_—the concluding volume to his landmark trilogy _consent not to be a single being_—Fred Moten presents a suite of three essays on Emmanuel Levinas, Hannah Arendt, and Frantz Fanon in which he explores (...) questions of freedom, capture, and selfhood. In trademark style, Moten considers these thinkers alongside artists and musicians such as William Kentridge and Curtis Mayfield while interrogating the relation between blackness and phenomenology. Whether using Levinas's idea of escape in unintended ways, examining Arendt's antiblackness through Mayfield's virtuosic falsetto and Anthony Braxton's musical language, or showing how Fanon's form of phenomenology enables black social life, Moten formulates blackness as a way of being in the world that evades regulation. Throughout _The Universal Machine_—and the trilogy as a whole—Moten's theorizations of blackness will have a lasting and profound impact. (shrink)

Is there a ghost in the machine? Are we born trailing clouds of glory? Is there a part of us that will survive death? Is the soul reborn in different bodily forms? These and similar questions have occupied humankind since the dawn of consciousness. Rosalie Osmond's book explores the way the soul has been represented in different cultures and at different times, from ancient Egypt and Greece, through medieval Europe and into the 21st century. Basing her approach on historical sources, (...) she reveals the many different ways in which the soul has been imagined and the range of human needs and aspirations these imaginings have addressed. (shrink)

Paul Churchland's book is an entertaining and instructive advertisement for a "neurocomputational" vision of how the brain works. While we agree with its general thrust, and commend its lucid pedagogy on a host of difficult topics, we note that such pedagogy often exploits artificially heightened contrast, and sometimes the result is a misleading caricature instead of a helpful simplification. In particular, Churchland is eager to contrast the explanation of consciousness that can be accomplished by his "aspiring new structural and dynamic (...) cognitive prototype: recurrent PDP networks" with what strikes him as the retrograde introduction by Dennett of a virtual von Neumannesque machine--a "failed prototype"--as the key element in an explanation of human consciousness. We will try to show that by oversimplifying Dennett's alternative, he has taken a potential supplement to his own view--a much needed supplement--and transformed it in his imagination into a subversive threat. In part 1, we will expose and correct the mistaken contrasts. In part 2, we will compare the performance of the two views on Churchland's list of seven features of consciousness any theory must account for, showing that Dennett's account provides more than Churchland has recognized, and indeed offers answers to key questions that Churchland's account is powerless to address. At that point, Churchland's project and Dennett's could be seen to collaborate in a useful division of labor instead of being in mortal combat, were it not for what appears to be a fairly major disagreement about consciousness in non-human animals. Part 3 briefly examines this issue. It may be due to a misunderstanding, which when cleared up might restore the happy prospect of unification. (shrink)

The recent technological revolution, often referred to as the Fourth Industrial Revolution or the Second Machine Age, has brought significant changes in both the knowledge production process and its outputs. These changes have raised the question of whether a doctoral degree will retain its unique value as a knowledge creator in the future. In addition, the global challenges confronting society, such as climate change and economic inequality, require a better response from doctoral education and raise the question of whether the (...) current form of doctoral education will meet the demands of future society. Doctoral education might harness technological developments wisely to address these challenges, or it might miss this opportunity and thus lose its valuable role in educating advanced researchers. Based on a critical review of the literature, this paper explores the meaning of the profession in the future at a time of technological revolution and imagines possible future scenarios for doctoral education. The paper applies Ronald Barnett’s framework for the imaginative university, focusing on ideological, dystopian, persuasive and utopian universities, and describes the potential changes to doctoral education. (shrink)

Already in 1863, Jules Verne knew about Caselli's "pantelegraphy," which was what he described as a "photographic telegraphy, invented during the last century by Professor Giovanni Caselli of Florence."1 Following the mistaken belief that facsimile machines could not been invented until well after the nineteenth century, and wrongly assuming that Caselli was a fictional inventor, merely a figment of Verne's most productive fertile imagination (as such imaginative elements characterize his latter writings), some of Verne's readers mistakenly ascribed to (...) him the discovery of the possibility of the fax machine. They thus committed what I will call soon "a reversed actualist fallacy."In challenging actualist mistakes .. (shrink)

We can imagine a human operator playing a game of one-upmanship against a programmed computer. If the program is Fn, the human operator can print the theorem Gn, which the programmed computer, or, if you prefer, the program, would never print, if it is consistent. This is true for each whole number n, but the victory is a hollow one since a second computer, loaded with program C, could put the human operator out of a job.... It is useless for (...) the `mentalist' to argue that any given program can always be improves since the process for improving programs can presumably be programmed also; certainly this can be done if the mentalist describes how the improvement is to be made. If he does give such a description, then he has not made a case. (shrink)

Paul Churchland's book (hereafter ER)is an entertaining and instructive advertisement for a "neurocomputational" vision of how the brain (and mind) works. While we agree with its general thrust, and commend its lucid pedagogy on a host of difficult topics, we note that such pedagogy often exploits artificially heightened contrast, and sometimes the result is a misleading caricature instead of a helpful simplification. In particular, Churchland is eager to contrast the explanation of consciousness that can be accomplished by his "aspiring new (...) structural and dynamic cognitive prototype: recurrent PDP networks" (p.266) with what strikes him as the retrograde introduction by Dennett of a virtual von Neumannesque machine--a "failed prototype"--as the key element in an explanation of human consciousness (in Consciousness Explained, 1991, hereafter, CE). We will try to show that by oversimplifying Dennett's alternative, he has taken a potential supplement to his own view--a much needed supplement--and transformed it in his imagination into a subversive threat. In part 1, we will expose and correct the mistaken contrasts. In part 2, we will compare the performance of the two views on Churchland's list of seven features of consciousness any theory must account for, showing that Dennett's account provides more than Churchland has recognized, and indeed offers answers to key questions that Churchland's account is powerless to address. At that point, Churchland's project and Dennett's could be seen to collaborate in a useful division of labor instead of being in mortal combat, were it not for what appears to be a fairly major disagreement about consciousness in non-human animals. Part 3 briefly examines this issue. It may be due to a misunderstanding, which when cleared up might restore the happy prospect of unification. (shrink)

In an era of digital revolution, artificial intelligence, big data and augmented reality, technology has shifted from being a tool of communication to a primary medium of experience and sociality. Some of the most basic human capacities are increasingly being outsourced to machines and we increasingly experience and interpret the world through digital interfaces, with machines becoming ever more ‘social’ beings. Social interaction and human perception are being reshaped in unprecedented ways. This book explores this technologisation of the (...) social and the attendant penetration of permanent liminality into those aspects of the lifeworld where individuals had previously sought some kind of stability and meaning. Through a historical and anthropological examination of this phenomenon, it problematises the underlying logic of limitless technological expansion and our increasing inability to imagine either ourselves or our world in other than technological terms. Drawing on a variety of concepts from political anthropology, including liminality, the trickster, imitation, schismogenesis, participation, and the void, it interrogates the contemporary technological revolution in a manner that will be of interest to sociologists, social and anthropological theorists and scholars of science and technology studies with interests in the digital transformation of social life. -/- Table of Contents -/- Introduction: The Technologisation of the Social: A 21st-Century Megamachine? Paul O’Connor -/- 1. Communication as Theatricalisation: Self-Presentation in the Digital Age Arpad Szakolczai -/- 2. Parasites of the Social: Digital Disruptions of the Labour Market Tom Boland -/- 3. Possessed by Technology: The Metastasis of Absence Agnes Horvath -/- 4. Technologisation of the Social: Symbiosis, Parasitism, or Predation? Daniel Gati -/- 5. J'accuse Zéro: The Technology of Zero and the Making of a Personal Void Ray Griffin -/- 6. Digital Affordances and the Liminal Stephen Turner -/- 7. The Smart Womb: Digital Technologies and the Maze of Trickster Politics Marius Ion Benta -/- 8. Brave New Industry? The Dark Side of Dematerialisation and Industry 4.0 Thomas S.J. Smith -/- 9. ‘What Have You Caught?’: Nannycams and Hidden Cameras as Normalised Surveillance of the Intimate Janos Mark Szakolczai -/- 10. Coercive Visibility: Discipline in the Digital Public Arena Paul O’Connor -/- Conclusion: Is There a Way Out of the Technologisation of the Social? Marius Ion Benta. (shrink)

The development of conscious machines faces a number of difficult issues such as the apparent immateriality of mind, qualia and self-awareness. Also consciousness-related cognitive processes such as perception, imagination, motivation and inner speech are a technical challenge. It is foreseen that the development of machine consciousness would call for a system approach; the developer of conscious machines should consider complete systems that integrate the cognitive processes seamlessly and process information in a transparent way with representational and non-representational (...) information-processing modes. An overview of the main issues is given and some possible solutions are outlined. (shrink)

Confucianism is a kind of humanism. Confucian humanism presupposes, however, a divisive act that separates human and nonhuman. This paper shows that the split between the human and the nonhuman is central to Mencius' moral psychology, and it argues that Confucianism is an anthropological machine in the sense of the term used by Giorgio Agamben. I consider the main points of early Daoist critique of Confucian humanism. A comparative analysis of Herman Melville's novella 'Bartleby the Scrivener' reveals the limitation of (...) the moral will in Mencius. Finally, I refer to an incident that recently captured the imagination of Chinese netizens, and shows the contested influence of Confucian humanism in contemporary China. (shrink)

It is commonly thought that unconscious processes cannot produce actions deserving praise or blame. I present a thought experiment designed to generate a contradicting intuition: at least in this case, we do give credit for the product of an unconscious process. The target is creativity. Many instances of creative thought begin with a step that unconsciously generates a new idea by combining existing ideas. The resulting ideas are selected and developed by later processing. This first step could be replaced with (...) a simple machine that randomly pairs concepts. Now, imagine a philosopher, Liberty, who gets all of his paper ideas from this machine. Compare him to another philosopher, Libertad, who comes up with all the same papers using her own mind. If you share the intuition that Liberty’s work deserves less credit for creativity, you are giving credit for the product of an unconscious process. (shrink)

The more recent computer developments cause us to take a new look at human intelligence. The prevailing occidental view of human intelligence represents a very one-sided, logocentric approach, so that it is becoming more urgent to look for a more complete view. In this way, specific strengths of so-called human information processing are becoming particularly evident in a new way. To provide a general substantiation for this view, some elements of a phenomenological model for a dialectical coherence of human expressions (...) of life are briefly outlined. The starting point is the everyday experience of constantly being confronted with contradictory situations. A model of polar, or dualistic, dialectic is proposed, which attempts to systematically establish the contradictions and contingencies of human life in theoretical structures. It is assumed that formal logic fails to work — strictly speaking — when applied to real situations of human interaction. Instead, definite negations are supposed to be involved. In this way, four polarities, pairs of concepts which are mutually dependent on each other and negate each other definitely, are presented: process and structure, the individual and general (societal), acting and imagining, subject-subject-relation and subject-object-relation (love and work). The latter gives rise to the dialectic of emotion and cognition, which plays a decisive role in a comparison of human and computer-“intelligence”.To cope with the specific human strengths, which are expressed through these polarities, self-learning computers would have to be able to act and to love like human beings and to grow up in a society like people. Furthermore, the learning process would have to implement the process-structure-dialectic with its aspects of finality. In spite of the recent breath-taking achievements of computers, one can not imagine how computers would ever achieve this. Computers are, however, thought of, by virtue of their complexity, being qualitatively different from machines. But human abilities still represent a new level of complexity: the level of dialectic. (shrink)

There is a great deal in Man Machine and Other Writings that will delight the reader. Thomson has managed to capture much of La Mettrie’s wit and poetic use of language, which is no easy task; as La Mettrie himself comments on his “figurative style,” it “is often necessary in order to express better what is felt and to add grace to truth itself”. The central thesis of Man Machine needs little introduction. Inspired by the suggestion in Part 5 of (...) Descartes’s Discourse on Method that animals are machines, La Mettrie extends the metaphor to man. Man is like a watch whose springs and wheels, properly organized, move to perform its function. But before the reader concludes that La Mettrie is embracing Descartes’s reduction of biological phenomena to “lifeless” mechanism, La Mettrie further claims that matter itself cannot tell time. Only a body appropriately organized can have the property of self-motion, and, hence, perform such functions as telling time, or feeling, or thinking. La Mettrie’s primary task is to vitalize Cartesian mechanism to show that self-directed motion could be a property of organized matter: “I believe thought to be so little incompatible with organized matter that it seems to be one of its properties, like electricity, motive power, impenetrability, extension, etc.”. As for how inert, simple matter becomes active and composed of organs, and, in some cases, endowed with feeling and thought, La Mettrie appeals to our ignorance of causes which prevents us from knowing ultimate beginnings or ends. Such ignorance, however, does not prevent us from admitting such “incontrovertible observations” as that organized matter possesses a motive principle, whereas unorganized matter does not. Other themes in the work include his account of the faculty of imagination as the origin of thought, observations in comparative psychology, a sketch of thinking as a symbolic process, and a discussion of whether apes could speak. Man Machine, as Thomson explains in the introduction, is not a formal treatise, but, rather, a loosely structured polemic, often given to rhetorical flourishes. However, where Man Machine falls short on argumentation it will surely provoke and engage the reader. (shrink)

Brain–machine interfaces are systems that allow the control of a device such as a robot arm through a person’s brain activity; such devices can be used by disabled persons to enhance their life and improve their independence. This paper is an extended version of a work that aims at discriminating between left and right imagined hand movements using a support vector machine classifier to control a robot arm in order to help a person to find an object in the environment. (...) The main focus here is to search for the best features that describe efficiently the electroencephalogram data during such imagined gestures by comparing two feature extraction methods, namely the continuous wavelet transform and the empirical modal decomposition, combined with the principal component analysis that were fed through a linear and radial basis function kernel SVM classifier. The experimental results showed high performance achieving an average accuracy across all the subjects of 92.75% with an RBF kernel SVM classifier using CWT and PCA compared to 80.25% accuracy obtained with EMD and PCA. The proposed system has been implemented and tested using data collected from five male subjects and it enabled the control of the robot arm in the right and the left direction. (shrink)

The young Spinoza and the mature Leibniz both characterize the soul as a self-moving spiritual automaton. Though it is unclear if Leibniz’s use of the term was suggested to him from his reading of Spinoza, Leibniz was aware of its presence in Spinoza’s Treatise on the Emendation of the Intellect. Considering Leibniz’s staunch opposition to Spinozism, the question arises as to why he was willing to adopt this term. I propose an answer to this question by comparing the spiritual automaton (...) in both philosophers. For Spinoza, the soul acts as a spiritual automaton when it overcomes imaginative ideas and produces true ideas. For Leibniz, the soul acts as a spiritual automaton when it spontaneously produces its perceptions according to the universal harmony preestablished by God. Thus, for Leibniz contra Spinoza, the spiritual automaton is a means to render intelligible a providential order in which everything happens for the best. (shrink)