Epistemology has historically focused on individual inquirers conducting their private intellectual affairs independently of one another. As a descriptive matter, however, what people believe and know is largely a function of their community and culture, narrowly or broadly construed. Most of what we believe is influenced, directly or indirectly, by the utterances and writings of others. So social epistemology deserves at least equal standing alongside the individual sector of epistemology.

Russian translation of Gettier E. L. Is Justified True Belief Knowledge? // Analysis, vol. 23, 1963. Translated by Lev Lamberov with kind permission of the author.

Computers are already approving financial transactions, controlling electrical supplies, and driving trains. Soon, service robots will be taking care of the elderly in their homes, and military robots will have their own targeting and firing protocols. Colin Allen and Wendell Wallach argue that as robots take on more and more responsibility, they must be programmed with moral decision-making abilities, for our own safety. Taking a fast paced tour through the latest thinking about philosophical ethics and artificial intelligence, the authors argue (...) that even if full moral agency for machines is a long way off, it is already necessary to start building a kind of functional morality, in which artificial moral agents have some basic ethical sensitivity. But the standard ethical theories don't seem adequate, and more socially engaged and engaging robots will be needed. As the authors show, the quest to build machines that are capable of telling right from wrong has begun. -/- Moral Machines is the first book to examine the challenge of building artificial moral agents, probing deeply into the nature of human decision making and ethics. (shrink)

What can we know and what should we believe about today's world? _What to Believe Now: Applying Epistemology to Contemporary Issues_ applies the concerns and techniques of epistemology to a wide variety of contemporary issues. Questions about what we can know-and what we _should_ believe-are first addressed through an explicit consideration of the practicalities of working these issues out at the dawn of the twenty-first century. Coady calls for an 'applied turn' in epistemology, a process he likens to the applied (...) turn that transformed the study of ethics in the early 1970s. Subjects dealt with include: Experts-how can we recognize them? And when should we trust them? Rumors-should they _ever_ be believed? And can they, in fact, be a source of knowledge? Conspiracy theories-when, if ever, should they be believed, and can they be known to be true? The blogosphere-how does it compare with traditional media as a source of knowledge and justified belief? Timely, thought provoking, and controversial, _What to Believe Now _offers a wealth of insights into a branch of philosophy of growing importance-and increasing relevance-in the twenty-first century. (shrink)

Computational methods such as computer simulations, Monte Carlo methods, and agent-based modeling have become the dominant techniques in many areas of science. Extending Ourselves contains the first systematic philosophical account of these new methods, and how they require a different approach to scientific method. Paul Humphreys draws a parallel between the ways in which such computational methods have enhanced our abilities to mathematically model the world, and the more familiar ways in which scientific instruments have expanded our access to the (...) empirical world. This expansion forms the basis for a new kind of empiricism, better suited to the needs of science than the older anthropocentric forms of empiricism. Human abilities are no longer the ultimate standard of epistemological correctness.Humphreys also includes arguments for the primacy of properties rather than objects, the need to consider technological constraints when appraising scientific methods, and a detailed account of how the path from computational template to scientific application is constructed. This last feature allows us to hold a form of selective realism in which anti-realist arguments based on formal reconstructions of theories can be avoided. One important consequence of the rise of computational methods is that the traditional organization of the sciences is being replaced by an organization founded on computational templates.Extending Ourselves will be of interest to philosophers of science, epistemologists, and to anyone interested in the role played by computers in modern science. (shrink)

While, prima facie, virtue/credit approaches in epistemology would appear to be in tension with distributed/extended approaches in cognitive science, Pritchard () has recently argued that the tension here is only apparent, at least given a weak version of distributed cognition, which claims merely that external resources often make critical contributions to the formation of true belief, and a weak virtue theory, which claims merely that, whenever a subject achieves knowledge, his cognitive agency makes a significant contribution to the formation of (...) a true belief. But the significance of the role played by the subject's cognitive agency in distributed cognitive systems is in fact highly variable: at one extreme, formation of a true belief seems clearly to be significantly creditable to the subject's agency; at the other extreme, however, the subject's agency plays such a peripheral role that it is at best unclear whether it should receive significant credit for formation of a true belief. The compatibility of distributed cognition and virtue epistemology thus turns on what it takes for a contribution to the formation of true belief to count as significant. This article argues that the inevitable vagueness of this notion suggests retreating from virtue epistemology to a form of process reliabilism and explores the prospects for a distributed reliabilist epistemology designed to fit smoothly with distributed cognition. In effect, distributed reliabilism radicalizes Goldberg's recent extended reliabilist view by allowing the process the reliability of which determines the epistemic status of a subject's belief to extend to include not only processing performed by other subjects but also processing performed by non-human technological resources. (shrink)

Software-intensive science challenges in many ways our current scientific methods. This affects significantly our notion of science and scientific interpretation of the world, driving at the same time the philosophical debate. We consider some issues prompted by SIS in the light of the philosophical categories of ontology and epistemology.

Trust online can be a hazardous affair; many are trustworthy, but some people use the anonymity of the web to behave very badly indeed. So how can we improve the quality of evidence for trustworthiness provided online? I focus on one of the devices we use to secure others’ trustworthiness: tracking past conduct through online reputation systems. Yet existing reputation systems face problems. I analyse these, and in the light of this develop some principles for system design, towards overcoming these (...) challenges. In providing better evidence for trustworthiness online, so we can also encourage people actually to be trustworthy more often, which is an ethically welcome outcome. (shrink)

My aim in this paper is to give a philosophical analysis of the relationship between contingently available technology and the knowledge that it makes possible. My concern is with what specific subjects can know in practice, given their particular conditions, especially available technology, rather than what can be known “in principle” by a hypothetical entity like Laplace’s Demon. The argument has two parts. In the first, I’ll construct a novel account of epistemic possibility that incorporates two pragmatic conditions: responsibility and (...) practicability. For example, whether subjects can gain knowledge depends in some circumstances on whether they have the capability of gathering relevant evidence. In turn, the possibility of undertaking such investigative activities depends in part on factors like ethical constraints, economical realities, and available technology. In the second part of the paper, I’ll introduce “technological possibility” to analyze the set of actions made possible by available technology. To help motivate the problem and later test my proposal, I’ll focus on a specific historical case, one of the earliest uses of digital electronic computers in a scientific investigation. I conclude that the epistemic possibility of gaining access to scientific knowledge about certain subjects depends (in some cases) on the technological possibility for making responsible investigations. (shrink)

It is argued that the question “Can we trust technology?” is unanswerable because it is open-ended. Only questions about specific issues that can have specific answers should be entertained. It is further argued that the reason the question cannot be answered is that there is no such thing as Technology _simpliciter_. Fundamentally, the question comes down to trusting people and even then, the question has to be specific about trusting a person to do this or that.

Technology is a practically indispensible means for satisfying one’s basic interests in all central areas of human life including nutrition, habitation, health care, entertainment, transportation, and social interaction. It is impossible for any one person, even a well-trained scientist or engineer, to know enough about how technology works in these different areas to make a calculated choice about whether to rely on the vast majority of the technologies she/he in fact relies upon. Yet, there are substantial risks, uncertainties, and unforeseen (...) practical consequences associated with the use of technological artifacts and systems. The salience of technological failure (both catastrophic and mundane), as well as technology’s sometimes unforeseeable influence on our behavior, makes it relevant to wonder whether we are really justified as individuals in our practical reliance on technology. Of course, even if we are not justified, we might nonetheless continue in our technological reliance, since the alternatives might not be attractive or feasible. In this chapter I argue that a conception of trust in technological artifacts and systems is plausible and helps us understand what is at stake philosophically in our reliance on technology. Such an account also helps us understand the relationship between trust and technological risk and the ethical obligations of those who design, manufacture, and deploy technological artifacts. (shrink)

In Relying on others [Goldberg, S. 2010a. Relying on others: An essay in epistemology. Oxford: Oxford University Press], I argued that, from the perspective of an interest in epistemic assessment, the testimonial belief-forming process should be regarded as interpersonally extended. At the same time, I explicitly rejected the extendedness model for beliefs formed through reliance on a mere mechanism, such as a clock. In this paper, I try to bolster my defense of this asymmetric treatment. I argue that a crucial (...) assumption lying behind the argument I used to establish interpersonal extendedness in testimony cases does not apply to beliefs formed through reliance on instruments. In this respect, at least, there appears to be something epistemically distinctive about relying on another epistemic agent. (shrink)

There are many instruments of knowledge. The primary feature of an instrument of knowledge is that it be a trustworthy source of information about the world. But what is the source of the trustworthiness of instruments? What does it mean to say that an instrument is a trustworthy source of information that p? Is there, for example, an implicit reference to the trustworthiness of a person who receives the information that p? If the answer to this question is affirmative, then (...) we should modify our first question to include the reference to a subject. Must we then allow that an instrument that is a trustworthy source of information that p for one person is not a trustworthy source of information that p for another? It seems that we must, for one person who understands an instrument may learn an important fact from it when another, who does not, learns nothing at all. But that consideration does not appear to reflect on the trustworthiness of the instrument but, rather, on the trustworthiness of the person who uses it. There are deep and more subtle questions pertaining to knowledge. A person who understands the instrument and a person who does not may both read the instrument and receive correct information that p from it, that is, they may both believe the information that p they receive, but only the person who understands the instrument knows that the information that p is correct. But how can a person receive correct information that p from a trustworthy instrument and not know that p? These are questions I shall attempt to answer. To answer them, we need some account of knowledge, and I proceed briefly with the necessary analysis. (shrink)

This book presents the concept of “complementary science” which contributes to scientific knowledge through historical and philosophical investigations. It emphasizes the fact that many simple items of knowledge that we take for granted were actually spectacular achievements obtained only after a great deal of innovative thinking, painstaking experiments, bold conjectures, and serious controversies. Each chapter in the book consists of two parts: a narrative part that states the philosophical puzzle and gives a problem-centred narrative on the historical attempts to solve (...) the puzzle; and the analysis part which provides in-depth analyses of certain scientific, historical, and philosophical aspects of the story. (shrink)

Edmund Gettier is Professor Emeritus at the University of Massachusetts, Amherst. This short piece, published in 1963, seemed to many decisively to refute an otherwise attractive analysis of knowledge. It stimulated a renewed effort, still ongoing, to clarify exactly what knowledge comprises.

A comparison is made between some epistemological issues arising in computer networks and standard features of social epistemology. A definition of knowledge for computational devices is provided and the topics of nonconceptual content and testimony are discussed.

"--Richard Grandy, Rice University "This is the first compelling diagnosis of what has gone awry in the raging 'science wars.

That the successful development of fully autonomous artificial moral agents (AMAs) is imminent is becoming the received view within artificial intelligence research and robotics. The discipline of Machines Ethics, whose mandate is to create such ethical robots, is consequently gaining momentum. Although it is often asked whether a given moral framework can be implemented into machines, it is never asked whether it should be. This paper articulates a pressing challenge for Machine Ethics: To identify an ethical framework that is both (...) implementable into machines and whose tenets permit the creation of such AMAs in the first place. Without consistency between ethics and engineering, the resulting AMAs would not be genuine ethical robots, and hence the discipline of Machine Ethics would be a failure in this regard. Here this challenge is articulated through a critical analysis of the development of Kantian AMAs, as one of the leading contenders for being the ethic that can be implemented into machines. In the end, however, the development of Kantian artificial moral machines is found to be anti-Kantian. The upshot of all this is that machine ethicists need to look elsewhere for an ethic to implement into their machines. (shrink)

Defined narrowly, epistemology is the study of knowledge and justified belief. As the study of knowledge, epistemology is concerned with the following questions: What are the necessary and sufficient conditions of knowledge? What are its sources? What is its structure, and what are its limits? As the study of justified belief, epistemology aims to answer questions such as: How we are to understand the concept of justification? What makes justified beliefs justified? Is justification internal or external to one's own mind? (...) Understood more broadly, epistemology is about issues having to do with the creation and dissemination of knowledge in particular areas of inquiry. This article will provide a systematic overview of the problems that the questions above raise and focus in some depth on issues relating to the structure and the limits of knowledge and justification. (shrink)

find myself believing all sorts 0f things for which I d0 not possess evidence: that smoking cigarettes causes lung cancer, that my car keeps stalling because the carburetor needs LO be rebuilt, that mass media threaten democracy, that slums cause emotional disorders, that my irregular heart beat is premature ventricular contraction, that students} grades are not correlated with success in the ncmacadcmic world, that nuclear power plants are not safe (enough) . . . The list 0f things I believe, though (...) I have no evidence for the truth of them, is, if not infinite, virtually endless. And.. (shrink)

Artificial agents (AAs), particularly but not only those in Cyberspace, extend the class of entities that can be involved in moral situations. For they can be conceived of as moral patients (as entities that can be acted upon for good or evil) and also as moral agents (as entities that can perform actions, again for good or evil). In this paper, we clarify the concept of agent and go on to separate the concerns of morality and responsibility of agents (most (...) interestingly for us, of AAs). We conclude that there is substantial and important scope, particularly in Computer Ethics, for the concept of moral agent not necessarily exhibiting free will, mental states or responsibility. This complements the more traditional approach, common at least since Montaigne and Descartes, which considers whether or not (artificial) agents have mental states, feelings, emotions and so on. By focussing directly on mind-less morality we are able to avoid that question and also many of the concerns of Artificial Intelligence. A vital component in our approach is the Method of Abstraction for analysing the level of abstraction (LoA) at which an agent is considered to act. The LoA is determined by the way in which one chooses to describe, analyse and discuss a system and its context. The Method of Abstraction is explained in terms of an interface or set of features or observables at a given LoA. Agenthood, and in particular moral agenthood, depends on a LoA. Our guidelines for agenthood are: interactivity (response to stimulus by change of state), autonomy (ability to change state without stimulus) and adaptability (ability to change the transition rules by which state is changed) at a given LoA. Morality may be thought of as a threshold defined on the observables in the interface determining the LoA under consideration. An agent is morally good if its actions all respect that threshold; and it is morally evil if some action violates it. That view is particularly informative when the agent constitutes a software or digital system, and the observables are numerical. Finally we review the consequences for Computer Ethics of our approach. In conclusion, this approach facilitates the discussion of the morality of agents not only in Cyberspace but also in the biosphere, where animals can be considered moral agents without their having to display free will, emotions or mental states, and in social contexts, where systems like organizations can play the role of moral agents. The primary cost of this facility is the extension of the class of agents and moral agents to embrace AAs. (shrink)

Hutchins examines a set of phenomena that have fallen between the established disciplines of psychology and anthropology, bringing to light a new set of relationships between culture and cognition.

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)

I argue that technological functions warrant specific epistemological attention, which they have not received thus far. From a user’s perspective, knowledge about the possible functions of an artefact is not provided exclusively by beliefs about its physical characteristics; it is primarily provided by know-how related to its use. Analysing the latter shows that standards of practical and not just theoretical reasoning are involved. Moreover, knowledge of the function of artefacts is primarily based on testimony and a social division of labour (...) with respect to rational artefact use. Combining these two features, knowledge of functions can be shown to create a rich normative context, manifest in notions such as ‘improper’ use: designers inform users about how they ought to use artefacts. This normativity in knowledge of functions, which takes a different shape for possible and proper functions, is lacking in standard, descriptive knowledge.Keywords: Epistemology; Function; Knowing-how; Testimony; Artefact; Practical rationality. (shrink)

Trust is generally held to have three different dimensions or aspects: a behavioral aspect, a cognitive aspect, and an affective aspect. While t here is hardly any disagreement about trusting behavior, there is some disagreement as to which of the two other aspects is more fundamental. After presenting some of the main ideas concerning the concept of trust as used in the analysis of social cooperation. I will argue that affective aspects of trust must be included in any adequate account (...) of the role of trust in social dilemma situations involving multiple equilibria. Cooperation in such situations requires coordination even though information on what another player might do is not available. A trusting person can handle such problems of cooperation by framing the situation in a way that goes beyond cognitive trust and solves what I shall call the problem of normative consent. I will conclude with some remarks ab out the design of institutions that foster trustful cooperation, especially in the context of the Internet. (shrink)

In this paper we raise the question whether technological artifacts can properly speaking be trusted or said to be trustworthy. First, we set out some prevalent accounts of trust and trustworthiness and explain how they compare with the engineer’s notion of reliability. We distinguish between pure rational-choice accounts of trust, which do not differ in principle from mere judgments of reliability, and what we call “motivation-attributing” accounts of trust, which attribute specific motivations to trustworthy entities. Then we consider some examples (...) of technological entities that are, at first glance, best suited to serve as the objects of trust: intelligent systems that interact with users, and complex socio-technical systems. We conclude that the motivation-attributing concept of trustworthiness cannot be straightforwardly applied to these entities. Any applicable notion of trustworthy technology would have to depart significantly from the full-blown notion of trustworthiness associated with interpersonal trust. (shrink)

What is it to trust someone? What is it for someone to be trustworthy? These are the two main questions that this paper addresses. There are various situations that can be described as ones of trust, but this paper considers the issue of trust between individuals. In it, I suggest that trust is distinct from reliance or cases where someone asks for something on the expectation that it will be done due to the different attitude taken by the trustor. I (...) argue that the trustor takes Holton’s ‘participant stance’ and this distinguishes trust from reliance. I argue that trustworthiness is different from reliability and that an account of trustworthiness cannot be successful whilst ignoring the point that aligning trustworthiness with reliability removes the virtue from being trustworthy. On the question of what it is distinguishes trustworthiness from reliability, I argue that the distinction is in the opportunity for the trustee to act against the wishes of the trustor and the trustee’s consideration of the value of the trust that has been placed in them by the trustor. (shrink)

After discussing the distinction between artifacts and natural entities, and the distinction between artifacts and technology, the conditions of the traditional account of moral agency are identified. While computer system behavior meets four of the five conditions, it does not and cannot meet a key condition. Computer systems do not have mental states, and even if they could be construed as having mental states, they do not have intendings to act, which arise from an agent’s freedom. On the other hand, (...) computer systems have intentionality, and because of this, they should not be dismissed from the realm of morality in the same way that natural objects are dismissed. Natural objects behave from necessity; computer systems and other artifacts behave from necessity after they are created and deployed, but, unlike natural objects, they are intentionally created and deployed. Failure to recognize the intentionality of computer systems and their connection to human intentionality and action hides the moral character of computer systems. Computer systems are components in human moral action. When humans act with artifacts, their actions are constituted by the intentionality and efficacy of the artifact which, in turn, has been constituted by the intentionality and efficacy of the artifact designer. All three components – artifact designer, artifact, and artifact user – are at work when there is an action and all three should be the focus of moral evaluation. (shrink)

Social epistemology is the study of the social dimensions of knowledge or information. There is little consensus, however, on what the term "knowledge" comprehends, what is the scope of the "social", or what the style or purpose of the study should be. According to some writers, social epistemology should retain the same general mission as classical epistemology, revamped in the recognition that classical epistemology was too individualistic. According to other writers, social epistemology should be a more radical departure from classical (...) epistemology, a successor discipline that would replace epistemology as traditionally conceived. The classical approach could be realized in at least two forms. One would emphasize the traditional epistemic goal of acquiring true beliefs. It would study social practices in terms of their impact on the truth-values of agents’ beliefs. A second version of the classical approach would focus on the epistemic goal of having justified or rational beliefs. Applied to the social realm, it might concentrate, for example, on when a cognitive agent is justified or warranted in accepting the statements and opinions of others. Proponents of the anti-classical approach have little or no use for concepts like truth and justification. In addressing the social dimensions of knowledge, they understand "knowledge" as simply what is believed, or what beliefs are "institutionalized" in this or that community, culture, or context. They seek to identify the social forces and influences responsible for knowledge production so conceived. Social epistemology is theoretically significant because of the central role of society in the knowledge-forming process. It also has practical importance because of its possible role in the redesign of information-related social institutions. (shrink)

The Description for this book, The Analysis of Knowing: A Decade of Research, will be forthcoming.

In this paper I use philosophical accounts on the relationship between trust and knowledge in science to apprehend this relationship on the Web. I argue that trust and knowledge are fundamentally entangled in our epistemic practices. Yet despite this fundamental entanglement, we do not trust blindly. Instead we make use of knowledge to rationally place or withdraw trust. We use knowledge about the sources of epistemic content as well as general background knowledge to assess epistemic claims. Hence, although we may (...) have a default to trust, we remain and should remain epistemically vigilant; we look out and need to look out for signs of insincerity and dishonesty in our attempts to know. A fundamental requirement for such vigilance is transparency: in order to critically assess epistemic agents, content and processes, we need to be able to access and address them. On the Web, this request for transparency becomes particularly pressing if (a) trust is placed in unknown human epistemic agents and (b) if it is placed in non-human agents, such as algorithms. I give examples of the entanglement between knowledge and trust on the Web and draw conclusions about the forms of transparency needed in such systems to support epistemically vigilant behaviour, which empowers users to become responsible and accountable knowers. (shrink)

In this paper we raise the question whether technological artifacts can properly speaking be trusted or said to be trustworthy. First, we set out some prevalent accounts of trust and trustworthiness and explain how they compare with the engineer’s notion of reliability. We distinguish between pure rational-choice accounts of trust, which do not differ in principle from mere judgments of reliability, and what we call “motivation-attributing” accounts of trust, which attribute specific motivations to trustworthy entities. Then we consider some examples (...) of technological entities that are, at first glance, best suited to serve as the objects of trust: intelligent systems that interact with users, and complex socio-technical systems. We conclude that the motivation-attributing concept of trustworthiness cannot be straightforwardly applied to these entities. Any applicable notion of trustworthy technology would have to depart significantly from the full-blown notion of trustworthiness associated with interpersonal trust. (shrink)

Western philosophers have traditionally concentrated on theory as the means for expressing knowledge about a variety of phenomena. This absorbing book challenges this fundamental notion by showing how objects themselves, specifically scientific instruments, can express knowledge. As he considers numerous intriguing examples, Davis Baird gives us the tools to "read" the material products of science and technology and to understand their place in culture. Making a provocative and original challenge to our conception of knowledge itself, _Thing Knowledge _demands that we (...) take a new look at theories of science and technology, knowledge, progress, and change. Baird considers a wide range of instruments, including Faraday's first electric motor, eighteenth-century mechanical models of the solar system, the cyclotron, various instruments developed by analytical chemists between 1930 and 1960, spectrometers, and more. (shrink)

Trust is a central dimension in the relation between human beings and technologies. In many discourses about technology, the relation between human beings and technologies is conceptualized as an external relation: a relation between pre-given entities that can have an impact on each other but that do not mutually constitute each other. From this perspective, relations of trust can vary between _reliance_, as is present for instance in technological extensionism, and _suspicion_, as in various precautionary approaches in ethics that focus (...) on technological risks. Against these two interpretations of trust, this article develops a third one. Based on a more internal account of the relations between human beings and technologies, it becomes possible to see that every technological development puts at stake what it means to be a human being. Using technologies, then, implies trusting ourselves _to_ technologies. We argue that this does not imply an uncritical subjection to technology. Rather, recognizing that technologies help to constitute human subjectivity implies that human beings can get actively involved in processes of technological mediation. Trust then has the character of _confidence_: deliberately trusting oneself _to_ technology. (shrink)

Trust is difficult to define. Instead of doing so, I propose that the best way to understand the concept is through a genealogical account. I show how a root notion of trust arises out of some basic features of what it is for humans to live socially, in which we rely on others to act cooperatively. I explore how this concept acquires resonances of hope and threat, and how we analogically apply this in related but different contexts. The genealogical account (...) explains both why the notion has such value for us and why it is difficult to define. (shrink)