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)

Trust is pervasive in our lives. Both our simplest actions--like buying a coffee, or crossing the street--as well as the functions of large collective institutions--like those of corporations and nation states--wouldn't be possible without it. Yet, only in the last several decades has trust started to receive focused attention from philosophers as a specific topic of investigation. The Routledge Handbook of Trust and Philosophybrings together XX never before published essays, accessible for both students and researchers, created to cover the most (...) salient topics in the various theories of trust. The Handbookis broken up into four sections: a first on basic foundational and conceptual issues; a second on when trust is warranted; a third on the epistemology of trust; and a fourth on trust and science and technology. Each section is preceded by a short introduction, and each chapter includes a bibliography and cross-references to other entries in the volume. (shrink)

Recently, there has been renewed interest in so-called evidence-based policy making. Enticed by the grand promises of Big Data, public officials seem increasingly inclined to experiment with more data-driven forms of governance. But while the rise of Big Data and related consequences has been a major issue of concern across different disciplines, attempts to develop a better understanding of the phenomenon's historical foundations have been rare. This short commentary addresses this gap by situating the current push for numerical evidence within (...) a broader socio-political context, demonstrating how the epistemological claims of Big Data science intersect with specific forms of trust, truth, and objectivity. We conclude by arguing that regulators' faith in numbers can be attributed to a distinct political culture, a representative democracy undermined by pervasive public distrust and uncertainty. (shrink)

Recently, amid growing awareness that computer algorithms are not neutral tools but can cause harm by reproducing and amplifying bias, attempts to detect and prevent such biases have intensified. An approach that has received considerable attention in this regard is the Value Sensitive Design (VSD) methodology, which aims to contribute to both the critical analysis of (dis)values in existing technologies and the construction of novel technologies that account for specific desired values. This article provides a brief overview of the key (...) features of the Value Sensitive Design approach, examines its contributions to understanding and addressing issues around bias in computer systems, outlines the current debates on algorithmic bias and fairness in machine learning, and discusses how such debates could profit from VSD-derived insights and recommendations. Relating these debates on values in design and algorithmic bias to research on cognitive biases, we conclude by stressing our collective duty to not only detect and counter biases in software systems, but to also address and remedy their societal origins. (shrink)

A major international consultancy firm identified ‘AI ethicist’ as an essential position for companies to successfully implement artificial intelligence (AI) at the start of 2019. It declares that AI ethicists are needed to help companies navigate the ethical and social issues raised by the use of AI. Top 5 AI hires companies need to succeed in 2019. The view that AI is beneficial but nonetheless potentially harmful to individuals and society is widely shared by the industry, academia, governments, and civil (...) society organizations. Accordingly and in order to realize its benefits while avoiding ethical pitfalls and harmful consequences, numerous initiatives have been established to a) examine the ethical, social, legal and political dimensions of AI and b) develop ethical guidelines and recommendations for design and implementation of AI. (shrink)

In this paper I propose a new theoretical framework to analyse socio‐technical epistemic practices and systems on the Web and beyond, and apply it to the topic of web‐based scientific publishing. This framework is informed by social epistemology, science and technology studies (STS) and feminist epistemology. Its core consists of a tripartite classification of socio‐technical epistemic systems based on the mechanisms of closure they employ to terminate socio‐epistemic processes in which multiple agents are involved. In particular I distinguish three mechanisms (...) of closure, integration, aggregation and selection, and argue that they correspond to three different types of epistemic sociality. Different systems can employ different mechanism of closure or combinations thereof. Yet each mechanism has its own epistemic merits, depends on specific social, technical and epistemic prerequisites, has different strengths and weaknesses, and is optimal for different epistemic tasks. The aim of my analysis is twofold. Distinguishing different modes of epistemic sociality is a way for me not only to put forward a more nuanced framework for analysing socio‐epistemic practices, such as web‐based scientific publishing and scholarly communication. It can also serve as the theoretical basis for improving them. (shrink)

The notion of trustworthy AI has been proposed in response to mounting public criticism of AI systems, in particular with regard to the proliferation of such systems into ever more sensitive areas of human life without proper checks and balances. In Europe, the High-Level Expert Group on Artificial Intelligence has recently presented its Ethics Guidelines for Trustworthy AI. To some, the guidelines are an important step for the governance of AI. To others, the guidelines distract effort from genuine AI regulation. (...) In this chapter, we engage in a critical discussion of the concept of trustworthy AI by probing the concept both on theoretical and practical grounds, assessing its substance and the feasibility of its intent. We offer a concise overview of the guidelines and their vision for trustworthy AI and examine the conceptual underpinnings of trustworthy AI by considering how notions of 'trust' and 'trustworthiness' have been discussed in the philosophical literature. We then discuss several epistemic obstacles and moral requirements when striving to achieve trustworthy AI in practice before concluding with an argument in support of the establishment of a trustworthy AI culture that respects and protects foundational values. (shrink)

In contrast to Christopher Kelty’s case for the “careful cultural analysis of the domesticated forms that open source is taking” – which we agree to be a very useful endeavor – we would like to stick with the original call for papers for this special issue, that explicitly addresses the critical power of free software and a necessary shift to epistemologies. In our contribution we are responding to the aims of this special issue and to some of the contributions from (...) the perspective of feminist epistemology. There are several reasons for this decision. First of all, feminist scholars have been amongst the rst and most explicit to stress the linkages between knowledge and power. Apart from this generic focus, speci c feminist approaches, namely the approaches proposed by Helen Longino, Karen Barad and Lucy Suchman, o er invaluable insights for understanding the critical power of free software as a practice, which enables the materialization of principles into objects, as Kelty rightly emphasizes. Furthermore, feminist approaches suggest looking at epistemological politics and the situatedness of knowledge practices including e ects of perspectivism and marginalization. We adopt a performative understanding of epistemic practices, an understanding that take the interrelations between epistemology, ontology and ethics seriously. Thus, we start our inquiry from Kelty’s observation that free software “promises a sequence of [...] values: experimentalism and creativity, provisionality and modi ability, recti cation and refraction, dissent and critique, participation and obligation“ and that it „allows values and principles to be turned into material objects“. These and other values have already been inscribed in the launch of the GNU project in the beginning 1980s, the creation of the GPL, and they are continuously realized in the Free Software movement. Hence the interesting question is how they are realized and how are they shaped vice-versa by practices. (shrink)

Background and ProcessIn February 2012, the European Commission launched “The ONLIFE Initiative—a Concept Reengineering Exercise” within the context of the Digital Agenda for Europe. Initiated by Nicole Dewandre of the EC and chaired by Luciano Floridi , scholars from various academic backgrounds were invited to discuss the impact of information and communication technologies on individual, social and public lives. Of particular concern were the policy-relevant consequences of ICT-related developments. Taking Hannah Arendt’s The Human Condition To begin with, we took the (...) following from the prologue to The Human Condition as the opening motto of the Background Document. Arendt calls for “… a reconsideration of the human condition from the vantage point of our newest experiences and most recent fears”—vis-à-vis what she observed to be a prevailing thoughtlessness, “the heedless recklessness or hopeless confusion or complacent repetition of .. (shrink)