Some thinkers have claimed that expert performance with technology is characterized by a kind of disappearance of that technology from conscious experience, that is, by the transparency of the tools and equipment through which we sense and manipulate the world. This is a claim that may be traced to phenomenological philosophers such as Heidegger and Merleau-Ponty, but it has been influential in user interface design where the transparency of technology has often been adopted as a mark of good design. Moreover, (...) in the philosophy of cognitive science, such transparency has been advanced as necessary for extended cognition. By reflecting on concrete examples of our contemporary engagement with technology, I shall argue that the epistemic challenges posed by smart artefacts should prompt a reassessment of the drive for transparency in the design of some cases of technology-involving cognition. This has consequences for the place of extended minds in the contemporary technological context. (shrink)

Intellectual autonomy has long been identified as an epistemic virtue, one that has been championed influentially by Kant, Hume and Emerson. Manifesting intellectual autonomy, at least, in a virtuous way, does not require that we form our beliefs in cognitive isolation. Rather, as Roberts and Wood note, intellectually virtuous autonomy involves reliance and outsourcing to an appropriate extent, while at the same time maintaining intellectual self-direction. In this essay, I want to investigate the ramifications for intellectual autonomy of a particular (...) kind of epistemic dependence: cognitive enhancement. Cognitive enhancements involve the use of technology and medicine to improve cognitive capacities in healthy individuals, through mechanisms ranging from smart drugs to brain-computer interfaces. With reference to case studies in bioethics, as well as the philosophy of mind and cognitive science, it is shown that epistemic dependence, in this extreme form, poses a prima facie threat to the retention of intellectual autonomy, specifically, by threatening to undermine our intellectual self-direction. My aim will be to show why certain kinds of cognitive enhancements are subject to this objection from self-direction, while others are not. Once this is established, we’ll see that even some extreme kinds of cognitive enhancement might be not merely compatible with, but constitutive of, virtuous intellectual autonomy. (shrink)

In this chapter, we analyze the relationships between the Internet and its users in terms of situated cognition theory. We first argue that the Internet is a new kind of cognitive ecology, providing almost constant access to a vast amount of digital information that is increasingly more integrated into our cognitive routines. We then briefly introduce situated cognition theory and its species of embedded, embodied, extended, distributed and collective cognition. Having thus set the stage, we begin by taking an embedded (...) cognition view and analyze how the Internet aids certain cognitive tasks. After that, we conceptualize how the Internet enables new kinds of embodied interaction, extends certain aspects of our embodiment, and examine how wearable technologies that monitor physiological, behavioral and contextual states transform the embodied self. On the basis of the degree of cognitive integration between a user and Internet resource, we then look at how and when the Internet extends our cognitive processes. We end this chapter with a discussion of distributed and collective cognition as facilitated by the Internet. (shrink)

Challenging and rewarding in equal measure, _Phenomenology of Perception_ is Merleau-Ponty's most famous work. Impressive in both scope and imagination, it uses the example of perception to return the body to the forefront of philosophy for the first time since Plato. Drawing on case studies such as brain-damaged patients from the First World War, Merleau-Ponty brilliantly shows how the body plays a crucial role not only in perception but in speech, sexuality and our relation to others.

First published in 1945, Maurice Merleau-Ponty’s monumental _Phénoménologie de la perception _signalled the arrival of a major new philosophical and intellectual voice in post-war Europe. Breaking with the prevailing picture of existentialism and phenomenology at the time, it has become one of the landmark works of twentieth-century thought. This new translation, the first for over fifty years, makes this classic work of philosophy available to a new generation of readers. _Phenomenology of Perception _stands in the great phenomenological tradition of Husserl, (...) Heidegger, and Sartre. Yet Merleau-Ponty’s contribution is decisive, as he brings this tradition and other philosophical predecessors, particularly Descartes and Kant, to confront a neglected dimension of our experience: the lived body and the phenomenal world. Charting a bold course between the reductionism of science on the one hand and "intellectualism" on the other, Merleau-Ponty argues that we should regard the body not as a mere biological or physical unit, but as the body which structures one’s situation and experience within the world. Merleau-Ponty enriches his classic work with engaging studies of famous cases in the history of psychology and neurology as well as phenomena that continue to draw our attention, such as phantom limb syndrome, synaesthesia, and hallucination. This new translation includes many helpful features such as the reintroduction of Merleau-Ponty’s discursive Table of Contents as subtitles into the body of the text, a comprehensive Translator’s Introduction to its main themes, essential notes explaining key terms of translation, an extensive Index, and an important updating of Merleau-Ponty’s references to now available English translations. Also included is a new foreword by Taylor Carman and an introduction to Merleau-Ponty_ _by Claude Lefort. Translated by Donald A. Landes. (shrink)

How the Body Shapes the Mind is an interdisciplinary work that addresses philosophical questions by appealing to evidence found in experimental psychology, neuroscience, studies of pathologies, and developmental psychology. There is a growing consensus across these disciplines that the contribution of embodiment to cognition is inescapable. Because this insight has been developed across a variety of disciplines, however, there is still a need to develop a common vocabulary that is capable of integrating discussions of brain mechanisms in neuroscience, behavioural expressions (...) in psychology, design concerns in artificial intelligence and robotics, and debates about embodied experience in the phenomenology and philosophy of mind. Shaun Gallagher's book aims to contribute to the formulation of that common vocabulary and to develop a conceptual framework that will avoid both the overly reductionistic approaches that explain everything in terms of bottom-up neuronal mechanisms, and inflationistic approaches that explain everything in terms of Cartesian, top-down cognitive states. Gallagher pursues two basic sets of questions. The first set consists of questions about the phenomenal aspects of the structure of experience, and specifically the relatively regular and constant features that we find in the content of our experience. If throughout conscious experience there is a constant reference to one's own body, even if this is a recessive or marginal awareness, then that reference constitutes a structural feature of the phenomenal field of consciousness, part of a framework that is likely to determine or influence all other aspects of experience. The second set of questions concerns aspects of the structure of experience that are more hidden, those that may be more difficult to get at because they happen before we know it. They do not normally enter into the content of experience in an explicit way, and are often inaccessible to reflective consciousness. To what extent, and in what ways, are consciousness and cognitive processes, which include experiences related to perception, memory, imagination, belief, judgement, and so forth, shaped or structured by the fact that they are embodied in this way? (shrink)

The goal of this paper is to develop a systematic taxonomy of cognitive artifacts, i.e., human-made, physical objects that functionally contribute to performing a cognitive task. First, I identify the target domain by conceptualizing the category of cognitive artifacts as a functional kind: a kind of artifact that is defined purely by its function. Next, on the basis of their informational properties, I develop a set of related subcategories in which cognitive artifacts with similar properties can be grouped. In this (...) taxonomy, I distinguish between three taxa, those of family, genus, and species. The family includes all cognitive artifacts without further specifying their informational properties. Two genera are then distinguished: representational and non-representational (or ecological) cognitive artifacts. These genera are further divided into species. In case of representational artifacts, these species are iconic, indexical, or symbolic. In case of ecological artifacts, these species are spatial or structural. Within species, token artifacts are identified. The proposed taxonomy is an important first step towards a better understanding of the range and variety of cognitive artifacts and is a helpful point of departure, both for conceptualizing how different artifacts augment or impair cognitive performance and how they transform and are integrated into our cognitive system and practices. (shrink)

The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of the gorillas now depends more on us humans than on the gorillas themselves, so the fate of (...) our species then would come to depend on the actions of the machine superintelligence. But we have one advantage: we get to make the first move. Will it be possible to construct a seed AI or otherwise to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation? To get closer to an answer to this question, we must make our way through a fascinating landscape of topics and considerations. Read the book and learn about oracles, genies, singletons; about boxing methods, tripwires, and mind crime; about humanity's cosmic endowment and differential technological development; indirect normativity, instrumental convergence, whole brain emulation and technology couplings; Malthusian economics and dystopian evolution; artificial intelligence, and biological cognitive enhancement, and collective intelligence. (shrink)

The paper investigates the ethics of information transparency (henceforth transparency). It argues that transparency is not an ethical principle in itself but a pro-ethical condition for enabling or impairing other ethical practices or principles. A new definition of transparency is offered in order to take into account the dynamics of information production and the differences between data and information. It is then argued that the proposed definition provides a better understanding of what sort of information should be disclosed and what (...) sort of information should be used in order to implement and make effective the ethical practices and principles to which an organisation is committed. The concepts of “heterogeneous organisation” and “autonomous computational artefact” are further defined in order to clarify the ethical implications of the technology used in implementing information transparency. It is argued that explicit ethical designs, which describe how ethical principles are embedded into the practice of software design, would represent valuable information that could be disclosed by organisations in order to support their ethical standing. (shrink)

In Supersizing the Mind, Andy Clark argues that the human mind is not bound inside the head but extends into body and environment.

Where does the mind stop and the rest of the world begin? The question invites two standard replies. Some accept the demarcations of skin and skull, and say that what is outside the body is outside the mind. Others are impressed by arguments suggesting that the meaning of our words "just ain't in the head", and hold that this externalism about meaning carries over into an externalism about mind. We propose to pursue a third position. We advocate a very different (...) sort of externalism: an _active externalism_, based on the active role of the environment in driving cognitive processes. (shrink)

In her BBC Reith Lectures on Trust, Onora O’Neill offers a short, but biting, criticism of transparency. People think that trust and transparency go together but in reality, says O'Neill, they are deeply opposed. Transparency forces people to conceal their actual reasons for action and invent different ones for public consumption. Transparency forces deception. I work out the details of her argument and worsen her conclusion. I focus on public transparency – that is, transparency to the public over expert domains. (...) I offer two versions of the criticism. First, the epistemic intrusion argument: The drive to transparency forces experts to explain their reasoning to non-experts. But expert reasons are, by their nature, often inaccessible to non-experts. So the demand for transparency can pressure experts to act only in those ways for which they can offer public justification. Second, the intimate reasons argument: In many cases of practical deliberation, the relevant reasons are intimate to a community and not easily explicable to those who lack a particular shared background. The demand for transparency, then, pressures community members to abandon the special understanding and sensitivity that arises from their particular experiences. Transparency, it turns out, is a form of surveillance. By forcing reasoning into the explicit and public sphere, transparency roots out corruption — but it also inhibits the full application of expert skill, sensitivity, and subtle shared understandings. The difficulty here arises from the basic fact that human knowledge vastly outstrips any individual’s capacities. We all depend on experts, which makes us vulnerable to their biases and corruption. But if we try to wholly secure our trust — if we leash groups of experts to pursuing only the goals and taking only the actions that can be justified to the non-expert public — then we will undermine their expertise. We need both trust and transparency, but they are in essential tension. This is a deep practical dilemma; it admits of no neat resolution, but only painful compromise. (shrink)

Extended cognition brings with it a particular phenomenology. It has been argued that when an artifact is integrated into an agent’s cognitive system, it becomes transparent in use to the cognizing subject. In this paper, I challenge some of the assumptions underlying how the transparency of artifacts is described in extended cognition theory. To this end, I offer two arguments. First, I make room for some forms of conscious thought and attention within extended cognitive routines, and I question the close (...) association drawn between attention and effort. Second, I vindicate the importance of paying careful attention to individual differences and the diverse ways in which bodies and technologies can be experienced. I end by offering some hints toward an alternative, and more accurate, account of the phenomenology of extended cognition. (shrink)

Some recent developments in Artificial Intelligence—especially the use of machine learning systems, trained on big data sets and deployed in socially significant and ethically weighty contexts—have led to a number of calls for “transparency”. This paper explores the epistemological and ethical dimensions of that concept, as well as surveying and taxonomising the variety of ways in which it has been invoked in recent discussions. Whilst “outward” forms of transparency may be straightforwardly achieved, what I call “functional” transparency about the inner (...) workings of a system is, in many cases, much harder to attain. In those situations, I argue that contestability may be a possible, acceptable, and useful alternative so that even if we cannot understand how a system came up with a particular output, we at least have the means to challenge it. (shrink)

-/- Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the (...) usual hype and nightmare scenarios to address concrete questions. -/- Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society . (shrink)

The increasing use of Artificial Intelligence for making decisions in public affairs has sparked a lively debate on the benefits and potential harms of self-learning technologies, ranging from the hopes of fully informed and objectively taken decisions to fear for the destruction of mankind. To prevent the negative outcomes and to achieve accountable systems, many have argued that we need to open up the “black box” of AI decision-making and make it more transparent. Whereas this debate has primarily focused on (...) how transparency can secure high-quality, fair, and reliable decisions, far less attention has been devoted to the role of transparency when it comes to how the general public come to perceive AI decision-making as legitimate and worthy of acceptance. Since relying on coercion is not only normatively problematic but also costly and highly inefficient, perceived legitimacy is fundamental to the democratic system. This paper discusses how transparency in and about AI decision-making can affect the public’s perception of the legitimacy of decisions and decision-makers and produce a framework for analyzing these questions. We argue that a limited form of transparency that focuses on providing justifications for decisions has the potential to provide sufficient ground for perceived legitimacy without producing the harms full transparency would bring. (shrink)

In the history of external information systems, the World Wide Web presents a significant change in terms of the accessibility and amount of available information. Constant access to various kinds of online information has consequences for the way we think, act and remember. Philosophers and cognitive scientists have recently started to examine the interactions between the human mind and the Web, mainly focussing on the way online information influences our biological memory systems. In this article, we use concepts from the (...) extended cognition and distributed cognition frameworks and from transactive memory theory to analyse the cognitive relations between humans and the Web. We first argue that while neither of these approaches neatly capture the nature of human-Web interactions, both offer useful concepts to describe aspects of such interactions. We then conceptualize relations between the Web and its users in terms of cognitive integration, arguing that most current Web applications are not deeply integrated and are better seen as a scaffold for memory and cognition. Some highly personalised applications accessed on wearable computing devices, however, may already have the capacity for deep integration. Finally, we draw out some of the epistemic implications of our cognitive analysis. (shrink)

Many of the computing systems programmed using Machine Learning are opaque: it is difficult to know why they do what they do or how they work. Explainable Artificial Intelligence aims to develop analytic techniques that render opaque computing systems transparent, but lacks a normative framework with which to evaluate these techniques’ explanatory successes. The aim of the present discussion is to develop such a framework, paying particular attention to different stakeholders’ distinct explanatory requirements. Building on an analysis of “opacity” from (...) philosophy of science, this framework is modeled after accounts of explanation in cognitive science. The framework distinguishes between the explanation-seeking questions that are likely to be asked by different stakeholders, and specifies the general ways in which these questions should be answered so as to allow these stakeholders to perform their roles in the Machine Learning ecosystem. By applying the normative framework to recently developed techniques such as input heatmapping, feature-detector visualization, and diagnostic classification, it is possible to determine whether and to what extent techniques from Explainable Artificial Intelligence can be used to render opaque computing systems transparent and, thus, whether they can be used to solve the Black Box Problem. (shrink)

The complementary properties and functions of cognitive artifacts and other external resources are integrated into the human cognitive system to varying degrees. The goal of this paper is to develop some of the tools to conceptualize this complementary integration between agents and artifacts. It does so by proposing a multidimensional framework, including the dimensions of information flow, reliability, durability, trust, procedural transparency, informational transparency, individualization, and transformation. The proposed dimensions are all matters of degree and jointly they constitute a multidimensional (...) space in which situated cognitive systems can be located and have certain dimensional configurations. These dimensions provide a new perspective on the conditions for cognitive extension. They are, however, not meant to provide a set of necessary and sufficient conditions, but to provide a toolbox for investigating the degree and nature of the integration of agent and artifact into “new systemic wholes”. The higher a situated system scores on the proposed dimensions, the more functional integration occurs, and the more tightly coupled the system is. (shrink)

In this paper, we analyse how GPS-based navigation systems are transforming some of our intellectual virtues and then suggest two strategies to improve our practices regarding the use of such epistemic tools. We start by outlining the two main approaches in virtue epistemology, namely virtue reliabilism and virtue responsibilism. We then discuss how navigation systems can undermine five epistemic virtues, namely memory, perception, attention, intellectual autonomy, and intellectual carefulness. We end by considering two possible interlinked ways of trying to remedy (...) this situation: [i] redesigning the epistemic tool to improve the epistemic virtues of memory, perception, and attention; and [ii] the cultivation of cognitive diligence for wayfinding tasks scaffolding intellectual autonomy and carefulness. (shrink)

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

While 4E cognitive science is fundamentally committed to recognising the importance of the environment in making sense of cognition, its interest in the role of artefacts seems to be one of its least developed dimensions. Yet the role of artefacts in human cognition and agency is central to the sorts of beings we are. Internet technology is influencing and being incorporated into a wide variety of our cognitive processes. Yet the dominant way of viewing these changes sees technology as an (...) outside force “impacting” on our minds. Within this context, Material Engagement Theory seems well poised to help make sense of our cognitive involvement with the Internet as MET is precisely concerned with grasping the role of material culture in human cognition. This paper explores some of the resources MET provides to think through the effects the internet is having on human agency. This paper uses MET as a starting point for examining the way Internet technology can be involved with human agency, both to the provide a much needed and more adequate theorization of these phenomena, but also to illustrate ways in which the consideration of artefacts can be given a more central and adequate place within the 4E cognitive sciences. (shrink)

We are purposive agents; but we—adult humans in a broadly modern world—are more than that. We are reflective about our motivation. We form prior plans and policies that organize our activity over time. And we see ourselves as agents who persist over time and who begin, develop, and then complete temporally extended activities and projects. Any reasonably complete theory of human action will need in some way to advert to this trio of features—to our reflectiveness, our planfulness, and our conception (...) of our agency as temporally extended. These are, further, features that have great significance for the kinds of lives we can live. For these two reasons I will say that these are among the core features of human agency. A theory of human action needs to say what these core features consist in and how they are related to each other. And such a theory needs also to clarify the relation between these core features of our agency and the possibility that we are fully embedded in an event causal order. (shrink)

It has been widely argued that digital technologies are transforming the nature of reading, and with it, our brains and a wide range of our cognitive capabilities. In this article, we begin by discussing the new analytical category of deep-reading and whether it is really on the decline. We analyse deep reading and its grounding in brain reorganization, based upon Michael Anderson’s Massive Redeployment hypothesis and Dehaene’s Neuronal Recycling which both help us to theorize how the capacities of brains are (...) transformed by acquisition of new skills. We examine some of the difficulties in comparing reading using technologies such as the web-browser, the tablet and E-Reader, with reading using the pre-existing print culture. While learning to read undoubtedly changes the brain, we examine what evidence there is for this being tightly tied to particular material substrates and find this lacking. Instead we attempt to situate cognitive changes around the new reading within the context of the specific new cognitive ecologies incorporating both screen and page. This involves a reconsideration of the role of material culture in the cognitive abilities. (shrink)

Some thinkers have claimed that expert performance with technology is characterized by a kind of disappearance of that technology from conscious experience, that is, by the transparency of the tools and equipment through which we sense and manipulate the world. This is a claim that may be traced to phenomenological philosophers such as Heidegger and Merleau-Ponty, but it has been influential in user interface design where the transparency of technology has often been adopted as a mark of good design. Moreover, (...) in the philosophy of cognitive science, such transparency has been advanced as necessary for extended cognition. By reflecting on concrete examples of our contemporary engagement with technology, I shall argue that the epistemic challenges posed by smart artefacts should prompt a reassessment of the drive for transparency in the design of some cases of technology-involving cognition. This has consequences for the place of extended minds in the contemporary technological context. (shrink)

According to the Extended knowledge dilemma, first formulated by Clark (Synthese 192:3757–3775, 2015) and subsequently reformulated by Carter et al. (in: Carter, Clark, Kallestrup, Palermos, Pritchard (eds) Extended epistemology, Oxford Univer- sity Press, Oxford, pp 331–351, 2018a), an agent’s interaction with a device can either give rise to knowledge or extended cognition, but not both at the same time. The dilemma rests on two substantive commitments: first, that knowledge by a subject requires that the subject be aware to some extent (...) of some features of that knowledge’s sources and, second, that cognitive processes can only be extended if the subject is mostly unaware of the external object. The overwhelming response to the dilemma by proponents of extended knowledge has been to reconcile the demands of knowl- edge with the requirement that genuine extended cognition must lack any conscious encountering of the external artifact that features in the putative extended cognitive process. My approach, thus far unexplored, will be the opposite: I show how extended cognition can be made compatible with a wide range of agential attitudes, including an active form of epistemic hygiene. Consequently, I open the door for a new way of vindicating the possibility of extended knowledge, and call into question some assumptions that lie at the core of extended cognition theory. (shrink)

Technologies and artefacts have long played a role in the structure of human memory and our cognitive lives more generally. Recent years have seen an explosion in the production and use of a new regime of information technologies that might have powerful implications for our minds. Electronic-Memory, powerful, portable and wearable digital gadgetry and “the cloud” of ever-present data services allow us to record, store and access an ever-expanding range of information both about and of relevance to our lives. Already, (...) for a decade we have been carrying around expansive gadgetry which allows us to collect, store and use what would have been almost unimaginable amounts of digital information only a short time ago. Now, thanks to the wireless internet adding vast processing and storage potential to the powerful portable devices which many of us carry constantly or wear, this information can be accessed and customised in an ever-greater variety of ways. How should we assess the implications of the new portable and pervasive cognitive technologies on offer? Does E-Memory and the wider panoply of cloud-enabled cognitive technologies really promise, or threaten, a radical change to the human cognitive abilities and perhaps the very nature of our minds? If so, how are we to assess the possibilities and attempt to understand whether they offer a hopeful or dangerous turn in the human condition? This investigation is structured around four related factors of the new technology: Totality, Practical Incorporability, Autonomy and Entanglement. We use these factors to inquire into the implications of this cloud-based memory technology for our minds and our sense of self. (shrink)

Autonomous mechanisms have been proposed to regulate certain aspects of society and are already being used to regulate business organisations. We take seriously recent proposals for algorithmic regulation of society, and we identify the existing technologies that can be used to implement them, most of them originally introduced in business contexts. We build on the notion of ‘social machine’ and we connect it to various ongoing trends and ideas, including crowdsourced task-work, social compiler, mechanism design, reputation management systems, and social (...) scoring. After showing how all the building blocks of algorithmic regulation are already well in place, we discuss the possible implications for human autonomy and social order. The main contribution of this paper is to identify convergent social and technical trends that are leading towards social regulation by algorithms, and to discuss the possible social, political, and ethical consequences of taking this path. (shrink)

Autonomous mechanisms have been proposed to regulate certain aspects of society and are already being used to regulate business organisations. We take seriously recent proposals for algorithmic regulation of society, and we identify the existing technologies that can be used to implement them, most of them originally introduced in business contexts. We build on the notion of 'social machine' and we connect it to various ongoing trends and ideas, including crowdsourced task-work, social compiler, mechanism design, reputation management systems, and social (...) scoring. After showing how all the building blocks of algorithmic regulation are already well in place, we discuss possible implications for human autonomy and social order. The main contribution of this paper is to identify convergent social and technical trends that are leading towards social regulation by algorithms, and to discuss the possible social, political, and ethical consequences of taking this path. (shrink)