Luciano Floridi presents a book that will set the agenda for the philosophy of information. PI is the philosophical field concerned with the critical investigation of the conceptual nature and basic principles of information, including its dynamics, utilisation, and sciences, and the elaboration and application of information-theoretic and computational methodologies to philosophical problems. This book lays down, for the first time, the conceptual foundations for this new area of research. It does so systematically, by pursuing three goals. Its metatheoretical goal (...) is to describe what the philosophy of information is, its problems, approaches, and methods. Its introductory goal is to help the reader to gain a better grasp of the complex and multifarious nature of the various concepts and phenomena related to information. Its analytic goal is to answer several key theoretical questions of great philosophical interest, arising from the investigation of semantic information. (shrink)

In this article, we reflect on the conditions under which new technologies emerge in the Anthropocene and raise the question of how to conceptualize sustainable technologies therein. To this end, we explore an eco-centric approach to technology development, called biomimicry. We discuss opposing views on biomimetic technologies, ranging from a still anthropocentric orientation focusing on human management and control of Earth’s life-support systems, to a real eco-centric concept of nature, found in the responsive conativity of nature. This concept provides the (...) ontological and the epistemological condition for an eco-centric concept of biomimetic technologies in the Anthropocene. We distinguish five principles for this concept that can guide future technological developments. (shrink)

Models are of central importance in many scientific contexts. The centrality of models such as inflationary models in cosmology, general-circulation models of the global climate, the double-helix model of DNA, evolutionary models in biology, agent-based models in the social sciences, and general-equilibrium models of markets in their respective domains is a case in point (the Other Internet Resources section at the end of this entry contains links to online resources that discuss these models). Scientists spend significant amounts of time building, (...) testing, comparing, and revising models, and much journal space is dedicated to interpreting and discussing the implications of models. In short, models are one of the principal instruments of modern science. (shrink)

We find ourselves in a media‐intensive milieu comprising networks, images, sounds, and text, which we generalize as data and metadata. How can we understand this digital milieu and make sense of these data, not only focusing on their functionalities but also reflecting on our everyday life and existence? How do these material constructions demand a new philosophical understanding? Instead of following the reductionist approaches, which understand the digital milieu as abstract entities such as information and data, this chapter proposes to (...) approach it from an embodied perspective: objects. The chapter contrasts digital objects with natural objects (e.g., apples on the table) and technical objects (e.g., hammers) in phenomenological investigations, and proposes to approach digital objects from the concept of “relations,” on the one hand the material relations that are concretized in the development of mark‐up languages, such as SGML, HTML, and XML, and on the other hand, Web ontologies, the temporal relations that are produced and conditioned by the artificial memories of data. (shrink)

In this paper, we argue that the Anthropocene is relevant for philosophy of technology because it makes us sensitive to the ontological dimension of contemporary technology. In §1, we show how the Anthropocene has ontological status insofar as the Anthropocenic world appears as managerial resource to us as managers of our planetary oikos. Next, we confront this interpretation of the Anthropocene with Heidegger’s notion of “Enframing” to suggest that the former offers a concrete experience of Heidegger’s abstract, notoriously difficult, and (...) allegedly totalitarian concept. In consequence, technology in the Anthropocene cannot be limited to the ontic domain of artefacts, but must be acknowledged to concern the whole of Being. This also indicates how the Anthropocene has a technical origin in an ontological sense, which is taken to imply that the issue of human responsibility must be primarily understood in terms of responsivity. In the final section, we show how the Anthropocene is ambiguous insofar as it both accords and discords with what Heidegger calls the “danger” of technology. In light of this ambiguity, the Earth gains ontic-ontological status, and we therefore argue that Heidegger’s unidirectional consideration concerning the relation between being and beings must be reoriented. We conclude that the Anthropocene entails that Heidegger’s consideration of the “saving power” of technology as well as the comportment of “releasement” must become Earthbound, thereby introducing us to a saving Earth. (shrink)

Algorithms can now identify patterns and correlations in the (big) datasets, and predict outcomes based on those identified patterns and correlations with the use of machine learning techniques and big data, decisions can then be made by algorithms themselves in accordance with the predicted outcomes. Yet, algorithms can inherit questionable values from the datasets and acquire biases in the course of (machine) learning, and automated algorithmic decision-making makes it more difficult for people to see algorithms as biased. While researchers have (...) taken the problem of algorithmic bias seriously, but the current discussion on algorithmic fairness tends to conceptualize ‘fairness’ in algorithmic fairness primarily as a technical issue and attempts to implement pre-existing ideas of ‘fairness’ into algorithms. In this paper, I show that such a view of algorithmic fairness as technical issue is unsatisfactory for the type of problem algorithmic fairness presents. Since decisions on fairness measure and the related techniques for algorithms essentially involve choices between competing values, ‘fairness’ in algorithmic fairness should be conceptualized first and foremost as a political issue, and it should be (re)solved by democratic communication. The aim of this paper, therefore, is to explicitly reconceptualize algorithmic fairness as a political question and suggest the current discussion of algorithmic fairness can be strengthened by adopting the accountability for reasonableness framework. (shrink)

With automation of routine decisions coupled with more intricate and complex information architecture operating this automation, concerns are increasing about the trustworthiness of these systems. These concerns are exacerbated by a class of artificial intelligence that uses deep learning, an algorithmic system of deep neural networks, which on the whole remain opaque or hidden from human comprehension. This situation is commonly referred to as the black box problem in AI. Without understanding how AI reaches its conclusions, it is an open (...) question to what extent we can trust these systems. The question of trust becomes more urgent as we delegate more and more decision-making to and increasingly rely on AI to safeguard significant human goods, such as security, healthcare, and safety. Models that “open the black box” by making the non-linear and complex decision process understandable by human observers are promising solutions to the black box problem in AI but are limited, at least in their current state, in their ability to make these processes less opaque to most observers. A philosophical analysis of trust will show why transparency is a necessary condition for trust and eventually for judging AI to be trustworthy. A more fruitful route for establishing trust in AI is to acknowledge that AI is situated within a socio-technical system that mediates trust, and by increasing the trustworthiness of these systems, we thereby increase trust in AI. (shrink)

Precision livestock farming (PLF) is the management of livestock using the principles and technology of process engineering. Key to PLF is the dense monitoring of variegated parameters, including animal growth, output of produce (e.g. milk, eggs), diseases, animal behaviour, and the physical environment (e.g. thermal micro-environment, ammonia emissions). While its proponents consider PLF a win-win strategy that combines production efficiency with sustainability goals and animal welfare, critics emphasise, inter alia, the potential interruption of human-animal relationships. This paper discusses the notion (...) that the objectification of animals by PLF influences the developmental pathways of conventional industrial farming. We conduct a conceptual analysis of objectification by comparing discussions in feminist ethics and animal ethics. We find that in animal ethics, objectification includes deontological arguments regarding instrumentalisation, de-animalisation, alienation, commodification and quantification of animals. The focus on socio-political context and relationality connects these debates to central ideas in care ethics. We adopt a care ethics perspective to assess the implications of the objectification of animals in livestock farming. The basic claim is that sensory knowledge symbolised by the farmers’ unity of hand, head and heart would make it harder to objectify animals than abstract and instrumental reasoning where the pursuit of knowledge is intertwined with the pursuit of control, as in mainstream PLF. Despite of what can be considered as a good caring relationship between farmers and animals that is mediated by PLF, people involved in conventional industrial farming still seem to become further detached from farmers and animals, because the PLF system itself is objectifying. PLF redefines the notion of care, in terms of data transparency, standardisation of methods for analysis, real-time collection and processing of data, remote control, and the use of digital platforms. This creates new expectations and requires a redistribution of responsibilities within a wider scope of relations in the value chain. (shrink)

Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...) concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms. (shrink)

Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...) concerns, and to offer actionable guidance for the governance of the design, development and deployment of algorithms. (shrink)

In his most seminal book, Herbert Marcuse sharply objects to what he saw as pervasive one-dimensional thinking-the uncritical and conformist acceptance of existing structures, norms and behaviours. Originally published in 1964, One Dimensional Man quickly became one of the most important texts in the politically radical sixties. Marcuse's searing indictment of Western society remains as chillingly relevant today as it was at its first writing.

In discourses on digitization and the data economy, it is often claimed that data subjects shall beownersof their data. In this paper, we provide a problem diagnosis for such calls fordata ownership: a large variety of demands are discussed under this heading. It thus becomes challenging to specify what—if anything—unites them. We identify four conceptual dimensions of calls for data ownership and argue that these help to systematize and to compare different positions. In view of this pluralism of data ownership (...) claims, we introduce, spell out and defend a constructive interpretative proposal: claims for data ownership are charitably understood as attempts to call for theredistributionof material resources and the socio-culturalrecognitionof data subjects. We argue that as one consequence of this reading, it misses the point to reject claims for data ownership on the grounds that property in data does not exist. Instead, data ownership brings to attention a claim to renegotiate such aspects of thestatus quo. (shrink)

We find ourselves in a media-intensive milieu comprising networks, images, sounds, and text, which we generalize as data and metadata. How can we understand this digital milieu and make sense of these data, not only focusing on their functionalities but also reflecting on our everyday life and existence? How do these material constructions demand a new philosophical understanding? Instead of following the reductionist approaches, which understand the digital milieu as abstract entities such as information and data, this article proposes to (...) approach it from an embodied perspective: objects. The article contrasts digital objects with natural objects (e.g., apples on the table) and technical objects (e.g., hammers) in phenomenological investigations, and proposes to approach digital objects from the concept of “relations,” on the one hand the material relations that are concretized in the development of mark-up languages, such as SGML, HTML, and XML, and on the other hand, Web ontologies, the temporal relations that are produced and conditioned by the artificial memories of data. (shrink)

Questions about the structure and justification of theories, the interpretation of data, and the problem of realism have been in the forefront of debate in recent philosophy of science, and the topic of models and analogies is increasingly recognized as integral to this debate. Models of physical matter and motion ‐ for example, models of atoms and planetary systems ‐ were already familiar in Greek science, but serious analysis of “model” as a concept entered philosophy of science only in the (...) nineteenth century. This was largely the result of proliferation in classical physics of theoretical entities such as “atom,” “electro‐magnetic wave,” and “electron,” for which there appeared to be no directly observable evidence (see theoretical terms). (shrink)

This paper aims to provide an overview of surveillance theories and concepts that can help to understand and debate surveillance in its many forms. As scholars from an increasingly wide range of disciplines are discussing surveillance, this literature review can offer much-needed common ground for the debate. We structure surveillance theory in three roughly chronological/thematic phases. The first two conceptualise surveillance through comprehensive theoretical frameworks which are elaborated in the third phase. The first phase, featuring Bentham and Foucault, offers architectural (...) theories of surveillance, where surveillance is often physical and spatial, involving centralised mechanisms of watching over subjects. Panoptic structures function as architectures of power, not only directly but also through disciplining of the watched subjects. The second phase offers infrastructural theories of surveillance, where surveillance is networked and relies primarily on digital rather than physical technologies. It involves distributed forms of watching over people, with increasing distance to the watched and often dealing with data doubles rather than physical persons. Deleuze, Haggerty and Ericson, and Zuboff develop different theoretical frameworks than panopticism to conceptualise the power play involved in networked surveillance. The third phase of scholarship refines, combines or extends the main conceptual frameworks developed earlier. Surveillance theory branches out to conceptualise surveillance through concepts such as dataveillance, access control, social sorting, peer-to-peer surveillance and resistance. With the datafication of society, surveillance combines the physical with the digital, government with corporate surveillance and top-down with self-surveillance. (shrink)

What is the relation between the ethics, the law, and the governance of the digital? In this article I articulate and defend what I consider the most reasonable answer.

In previous works (Floridi 2018) I introduced the distinction between hard ethics (which may broadly be described as what is morally right and wrong independently of whether something is legal or illegal), and soft or post-compliance ethics (which focuses on what ought to be done over and above existing legislation). This paper analyses the applicability of soft ethics to the General Data Protection Regulation and advances the theory that soft ethics has a dual advantage—as both an opportunity strategy and a (...) risk management solution. (shrink)

The debate between Marcuse and Habermas over technology marked a significant turning point in the history of the Frankfurt School. After the 1960s Habermas's influence grew as Marcuse's declined and Critical Theory adopted a far less Utopian stance. Recently there has been a revival of quite radical technology criticism in the environmental movement and under the influence of Foucault and constructivism. This article takes a new look at the earlier debate from the standpoint of these recent developments. While much of (...) Habermas's argument remains persuasive, his defense of modernity now seems to concede far too much to the claims of autonomous technology. His essentialist picture of technology as an application of a purely instrumental form of nonsocial rationality is less plausible after a decade of historicizing research in technology studies. The article argues that Marcuse was right after all to claim that technology is socially determined even if he was unable to develop his insight fruitfully. The article derives a new approach to technology criticism from both constructivism and Habermas's communication theory. The essence of technology is shown to be historical and reflexive, like the essence of other social institutions. As such an institution, its rationality is always implemented in value?biased forms subject to political critique. (shrink)

"... Dr. Ihde brings an enlightening and deeply humanistic perspective to major technological developments, both past and present." —Science Books & Films "Don Ihde is a pleasure to read.... The material is full of nice suggestions and details, empirical materials, fun variations which engage the reader in the work... the overall points almost sneak up on you, they are so gently and gradually offered." —John Compton "A sophisticated celebration of cultural diversity and of its enabling technologies.... perhaps the best single (...) volume relating the philosophical tradition to the broad issues raised by contemporary technologies." —Choice "... important and challenging... " —Review of Metaphysics "... a range of rich historical, cultural, philosophical, and psychological insights, woven together in an intriguing and clear exposition... The book is really a pleasure to read, for its style, immense learning and sanity." —Teaching Philosophy The role of tools and instruments in our relation to the earth and the ways in which technologies are culturally embedded provide the foci of this thought-provoking book. (shrink)

A theoretical physicist and feminist theorist, Karen Barad elaborates her theory of agential realism, a schema that is at once a new epistemology, ontology, and ethics.