University of Copenhagen on November 24-25 2016
The crucial institutions in todays liberal democracies, democratic institutions, science, public deliberation, the news media, public authorities and also private companies depend on various forms of trust: trust in people, processes, etc. We are, in certain crucial ways, fundamentally related to these institutions by relations of trust. Typically, we are not in a position to gather independent evidence for the reliability or trustworthiness of these institutions and the outcomes they produce, nor can we independently check these. So, when we rely on them or accept their authority, this is in part because we trust them (in some sense). Moreover, most institutions, including science, depend on complex socio-technical distributions of cognitive labor and decision-making power, e.g. in the context of biobanks, big data, algorithmic decision making, self-driving cars and this distribution of labor and decision-making also requires trust. Clearly, however, we not always agree about what or whom to trust; we diverge in the ways that we trust one another, or trust institutions, and institutions are sometimes affected by internal disagreement and distrust. The aim of the workshop is to explore these forms of trust. What are the conditions of trust in institutions? What are the relations between trust, trustworthiness, transparency and accountability? What are the condition under which disagreement presents a threat to trust? What are effective and legitimate means of maintaining or manufacturing trust?
There will be some additional slots available for presentations during the workshop, and we would very much welcome submissions. If you are interested in giving a presentation, please send an abstract of your presentation to kappel@hum.ku.dk no later than October 10th, 2016. The abstract should be approx. 1 page, and include e-mail address and institutional affiliation. We will notify you about acceptance no later than October 15, 2016. Note that, unfortunately, we will not be able to cover expenses for travel and accommodation for submitted presentations.
Confirmed speakers: Mark Alfano, Ori Freiman, Tria Gkouvas, Klemens Kappel, Arnon Keren, Kristina Rolin and Judith Simon.
Date: 24-25 November, 2016
Venue: Division of Philosophy, University of Copenhagen, Denmark
Organizers: Judith Simon and Klemens Kappel
The crucial institutions in todays liberal democracies, democratic institutions, science, public deliberation, the news media, public authorities and also private companies depend on various forms of trust: trust in people, processes, etc. We are, in certain crucial ways, fundamentally related to these institutions by relations of trust. Typically, we are not in a position to gather independent evidence for the reliability or trustworthiness of these institutions and the outcomes they produce, nor can we independently check these. So, when we rely on them or accept their authority, this is in part because we trust them (in some sense). Moreover, most institutions, including science, depend on complex socio-technical distributions of cognitive labor and decision-making power, e.g. in the context of biobanks, big data, algorithmic decision making, self-driving cars and this distribution of labor and decision-making also requires trust. Clearly, however, we not always agree about what or whom to trust; we diverge in the ways that we trust one another, or trust institutions, and institutions are sometimes affected by internal disagreement and distrust. The aim of the workshop is to explore these forms of trust. What are the conditions of trust in institutions? What are the relations between trust, trustworthiness, transparency and accountability? What are the condition under which disagreement presents a threat to trust? What are effective and legitimate means of maintaining or manufacturing trust?
There will be some additional slots available for presentations during the workshop, and we would very much welcome submissions. If you are interested in giving a presentation, please send an abstract of your presentation to kappel@hum.ku.dk no later than October 10th, 2016. The abstract should be approx. 1 page, and include e-mail address and institutional affiliation. We will notify you about acceptance no later than October 15, 2016. Note that, unfortunately, we will not be able to cover expenses for travel and accommodation for submitted presentations.
Confirmed speakers: Mark Alfano, Ori Freiman, Tria Gkouvas, Klemens Kappel, Arnon Keren, Kristina Rolin and Judith Simon.
Date: 24-25 November, 2016
Venue: Division of Philosophy, University of Copenhagen, Denmark
Organizers: Judith Simon and Klemens Kappel
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Judith Simon
Associate Professor for Philosophy of Science and Technology | IT University Copenhagen | Technologies in Practice Group
PI: Epistemic Trust in Socio-Technical Epistemic Systems | University of Vienna | Department of Philosophy
Co-Editor: Big Data & Society
Associate Editor: Philosophy & Technology
Email: jusi@itu.dk
Web: http://itu.academia.edu/JudithSimon
Associate Professor for Philosophy of Science and Technology | IT University Copenhagen | Technologies in Practice Group
PI: Epistemic Trust in Socio-Technical Epistemic Systems | University of Vienna | Department of Philosophy
Co-Editor: Big Data & Society
Associate Editor: Philosophy & Technology
Email: jusi@itu.dk
Web: http://itu.academia.edu/JudithSimon
-----------------
Judith Simon
Associate Professor for Philosophy of Science and Technology | IT University Copenhagen | Technologies in Practice Group
PI: Epistemic Trust in Socio-Technical Epistemic Systems | University of Vienna | Department of Philosophy
Co-Editor: Big Data & Society
Associate Editor: Philosophy & Technology
Email: judith.simon@univie.ac.at
Web: http://itu.academia.edu/JudithSimon
Associate Professor for Philosophy of Science and Technology | IT University Copenhagen | Technologies in Practice Group
PI: Epistemic Trust in Socio-Technical Epistemic Systems | University of Vienna | Department of Philosophy
Co-Editor: Big Data & Society
Associate Editor: Philosophy & Technology
Email: judith.simon@univie.ac.at
Web: http://itu.academia.edu/JudithSimon
