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  1.  97
    The Entanglement of Trust and Knowledge on the Web.Judith Simon - 2010 - Ethics and Information Technology 12 (4):343-355.
    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 (...)
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  2.  57
    Thinking About ‘Ethics’ in the Ethics of AI.Pak-Hang Wong & Judith Simon - 2020 - IDEES 48.
    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 (...)
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  3.  20
    Datatrust: Or, the Political Quest for Numerical Evidence and the Epistemologies of Big Data.Gernot Rieder & Judith Simon - 2016 - Big Data and Society 3 (1).
    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 (...)
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  4.  37
    A Socio‐Epistemological Framework for Scientific Publishing.Judith Simon - 2010 - Social Epistemology 24 (3):201-218.
    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 (...)
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  5.  52
    Scientific Publications 2.0. The End of the Scientific Paper?Gloria Origgi & Judith Simon - 2010 - Social Epistemology 24 (3):145-148.
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  6.  4
    Desired Becomings.Katja Mayer & Judith Simon - unknown
    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 (...)
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  7.  19
    Mapping the Stony Road Toward Trustworthy AI: Expectations, Problems, Conundrums.Gernot Rieder, Judith Simon & Pak-Hang Wong - forthcoming - In Marcello Pelillo & Teresa Scantamburlo (eds.), Machines We Trust: Perspectives on Dependable AI. Cambridge, Mass.:
    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. (...)
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  8.  10
    Algorithmic Bias and the Value Sensitive Design Approach.Judith Simon, Pak-Hang Wong & Gernot Rieder - 2020 - Internet Policy Review 9 (4).
    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 (...)
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  9. Handbook of Trust and Philosophy.Judith Simon (ed.) - forthcoming - Routledge.
     
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  10.  23
    The ONLIFE Initiative—a Concept Reengineering Exercise.Judith Simon & Charles Ess - 2015 - Philosophy and Technology 28 (1):157-162.
    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 (...)
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