I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...) the question, "Can machines think?" is to be sought in a statistical survey such as a Gallup poll. But this is absurd. Instead of attempting such a definition I shall replace the question by another, which is closely related to it and is expressed in relatively unambiguous words. The new form of the problem can be described in terms of a game which we call the 'imitation game." It is played with three people, a man (A), a woman (B), and an interrogator (C) who may be of either sex. The interrogator stays in a room apart front the other two. The object of the game for the interrogator is to determine which of the other two is the man and which is the woman. He knows them by labels X and Y, and at the end of the game he says either "X is A and Y is B" or "X is B and Y is A." The interrogator is allowed to put questions to A and B. We now ask the question, "What will happen when a machine takes the part of A in this game?" Will the interrogator decide wrongly as often when the game is played like this as he does when the game is played between a man and a woman? These questions replace our original, "Can machines think?". (shrink)

This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...) is available. These heuristics are highly economical and usually effective, but they lead to systematic and predictable errors. A better understanding of these heuristics and of the biases to which they lead could improve judgements and decisions in situations of uncertainty. (shrink)

In controversies about technology and society, there is no idea more pro vocative than the notion that technical things have political qualities. At issue is the claim that the machines, structures, and systems of modern material culture can be accurately judged not only for their contributions of efficiency and pro-ductivity, not merely for their positive and negative environmental side effects, but also for the ways in which they can embody specific forms of power and authority. Since ideas of this kind (...) have a persistent and troubling presence in discussions about the meaning of technology, they deserve explicit attention... (shrink)

Technology permeates nearly every aspect of our daily lives. Cars enable us to travel long distances, mobile phones help us to communicate, and medical devices make it possible to detect and cure diseases. But these aids to existence are not simply neutral instruments: they give shape to what we do and how we experience the world. And because technology plays such an active role in shaping our daily actions and decisions, it is crucial, Peter-Paul Verbeek argues, that we consider the (...) moral dimension of technology. _Moralizing Technology_ offers exactly that: an in-depth study of the ethical dilemmas and moral issues surrounding the interaction of humans and technology. Drawing from Heidegger and Foucault, as well as from philosophers of technology such as Don Ihde and Bruno Latour, Peter-Paul Verbeek locates morality not just in the human users of technology but in the interaction between us and our machines. Verbeek cites concrete examples, including some from his own life, and compellingly argues for the morality of _things_. Rich and multifaceted, and sure to be controversial, _Moralizing Technology_ will force us all to consider the virtue of new inventions and to rethink the rightness of the products we use every day. (shrink)

An investigation into the way in which information technology has shaped how and what we know, from "Google-knowing" to privacy and social media.

What is the impact of information and communication technologies (ICTs) on the human condition? In order to address this question, in 2012 the European Commission organized a research project entitled The Onlife Initiative: concept reengineering for rethinking societal concerns in the digital transition. This volume collects the work of the Onlife Initiative. It explores how the development and widespread use of ICTs have a radical impact on the human condition.

The mathematical theory of communication.

Toleration is one of the fundamental principles that inform the design of a democratic and liberal society. Unfortunately, its adoption seems inconsistent with the adoption of paternalistically benevolent policies, which represent a valuable mechanism to improve individuals’ well-being. In this paper, I refer to this tension as the dilemma of toleration. The dilemma is not new. It arises when an agent A would like to be tolerant and respectful towards another agent B’s choices but, at the same time, A is (...) altruistically concerned that a particular course of action would harm, or at least not improve, B’s well-being, so A would also like to be helpful and seeks to ensure that B does not pursue such course of action, for B’s sake and even against B’s consent. In the article, I clarify the specific nature of the dilemma and show that several forms of paternalism, including those based on ethics by design and structural nudging, may not be suitable to resolve it. I then argue that one form of paternalism, based on pro-ethical design, can be compatible with toleration and hence with the respect for B’s choices, by operating only at the informational and not at the structural level of a choice architecture. This provides a successful resolution of the dilemma, showing that tolerant paternalism is not an oxymoron but a viable approach to the design of a democratic and liberal society. (shrink)

In this paper, I present an informational approach to the nature of personal identity. In “Plato and the problem of the chariot”, I use Plato’s famous metaphor of the chariot to introduce a specific problem regarding the nature of the self as an informational multiagent system: what keeps the self together as a whole and coherent unity? In “Egology and its two branches” and “Egology as synchronic individualisation”, I outline two branches of the theory of the self: one concerning the (...) individualisation of the self as an entity, the other concerning the identification of such entity. I argue that both presuppose an informational approach, defend the view that the individualisation of the self is logically prior to its identification , and suggest that such individualisation can be provided in informational terms. Hence, in “A reconciling hypothesis: the three membranes model”, I offer an informational individualisation of the self, based on a tripartite model, which can help to solve the problem of the chariot. Once this model of the self is outlined, in “ICTs as technologies of the self” I use it to show how ICTs may be interpreted as technologies of the self. In “The logic of realisation”, I introduce the concept of “realization” (Aristotle’s anagnorisis ) and support the rather Spinozian view according to which, from the perspective of informational structural realism, selves are the final stage in the development of informational structures. The final “Conclusion: from the egology to the ecology of the self” briefly concludes the article with a reference to the purposeful shaping of the self, in a shift from egology to ecology. (shrink)

It has been argued that the Internet and social media increase the number of available viewpoints, perspectives, ideas and opinions available, leading to a very diverse pool of information. However, critics have argued that algorithms used by search engines, social networking platforms and other large online intermediaries actually decrease information diversity by forming so-called “filter bubbles”. This may form a serious threat to our democracies. In response to this threat others have developed algorithms and digital tools to combat filter bubbles. (...) This paper first provides examples of different software designs that try to break filter bubbles. Secondly, we show how norms required by two democracy models dominate the tools that are developed to fight the filter bubbles, while norms of other models are completely missing in the tools. The paper in conclusion argues that democracy itself is a contested concept and points to a variety of norms. Designers of diversity enhancing tools must thus be exposed to diverse conceptions of democracy. (shrink)

Scholars and policy makers often refer to the “information society”. And yet, it is more accurate to speak of societies, each different, some of which may qualify as information ones at different levels of maturity. Through exploration of the concepts of expectations, education and innovation, this paper explores what it means for an information society to be more or less mature than others, and the impact of this on the ongoing digital revolution.

Many of our interactions in the twenty-first century - both good and bad - take place by means of institutions, technology, and artefacts. We inhabit a world of implements, instruments, devices, systems, gadgets, and infrastructures. Technology is not only something that we make, but is also something that in many ways makes us. The discipline of ethics must take this constitutive feature of institutions and technology into account; thus, ethics must in turn be embedded in our institutions and technology. The (...) contributors to this book argue that the methodology of 'designing in ethics' - addressing and resolving the issues raised by technology through the use of appropriate technological design - is the way to achieve this integration. They apply their original methodology to a wide range of institutions and technologies, using case studies from the fields of healthcare, media and security. Their volume will be important for philosophical practitioners and theorists alike. (shrink)

I define serendipity as the art of making an unsought finding. And I propose an overview of my collection of serendipities, the largest yet assembled, chiefly in science and technology, but also in art, by giving a list of ‘serendipity patterns’. Although my list of ‘patterns’ is just a list and not a classification, it serves to introduce a new and possibly stimulating perspective on the old subject of serendipity. Knowledge of these ‘serendipity patterns’ might help in expecting also the (...) unexpected and in finding also the unsought. * I acknowledge A. D. de Groot, R. C. M. Noordam, B. P. van Heusden, T. Pinkster, C. J. van den Berg, T. A. F. Kuipers, A. Wegener Sleeswijk and my referee for their suggestions and I dedicate this article to T. A. van Kooten. Cases and studies of serendipidy are welcome. À propos: a travelling serendipity exhibition is available, also for ‘new democracies’: ‘Freedom of opportunity as developed by democracy is the best human reaction to divergent phenomena. We may, in fact, define ‘freedom’ as ‘the opportunity to profit from the unexpected.’ (Langmuir [1956]). (shrink)

What is uncertainty? There are of course several possible definitions, offered by different fields, from epistemology to statistics, but, in the background, one usually finds some kind of relation with the lack of information, in the following sense. Suppose we define semantic or factual information as the combination of a question plus the relevant, correct answer. If one has both the question and the correct answer, one is informed: “was Berlin the capital of Germany in 2010? Yes”. If one has (...) the question but the incorrect answer, one is insipient. If one has neither, one is ignorant. And if one has only the question but not the answer, then one is uncertain. Uncertainty is what a correct answer to a relevant question erases. This is why, in information theory, the value of information is often discussed in terms of the amount of uncertainty that it decreases. And this is also why there are many things in life that we value, but uncertainty is not usually one of them. At first sight, .. (shrink)

I define serendipity as the art of making an unsought finding. And I propose an overview of my collection of serendipities, the largest yet assembled, chiefly in science and technology, but also in art, by giving a list of ‘serendipity patterns’. Although my list of ‘patterns’ is just a list and not a classification, it serves to introduce a new and possibly stimulating perspective on the old subject of serendipity. Knowledge of these ‘serendipity patterns’ might help in expecting also the (...) unexpected and in finding also the unsought. (shrink)

Governments, companies, and citizens all think trust is important. Especially today, in the networked era, where we make use of all sorts of e-services and increasingly interact and buy online, trust has become a necessary condition for society to thrive. But what do we mean when we talk about trust and how does the rise of the Internet transform the functioning of trust? This books starts off with a thorough conceptual analysis of trust, drawing on insights from - amongst others (...) philosophy and sociology - to sharpen our understanding of the topic. The book explains how the arrival of large systems - such as the internet - has changed the character of trust which today is no longer based on interpersonal interactions but has become completely mediated by technologies. Based on the layered building plan of the Internet itself, a new conceptual lens called 4 Cs is developed to analyse and understand trust in the networked era. The 4Cs refer to the 4 layers which all have to be taken into account to assess trust online, namely: context, code, codification, and curation. The 4Cs bring together the firsthand experiences of the user (context), the sort of technology that is being used (code), the legal implication (codification) and business interests (curation) in order to get a clear picture of the trust issues that may arise. In the final part of the book some real-life cases are discussed (digital hotel keys, Airbnb, online personalization) to illustrate how trust -analysed through the 4 Cs lens- might flourish or be challenged in our current networked era. (shrink)