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Humanist Discussion Group, Vol. 32, No. 622.
Department of Digital Humanities, King's College London
Hosted by King's Digital Lab
www.dhhumanist.org
Submit to: humanist@dhhumanist.org
[1] From: Gimena del Rio Riande
Subject: CfP TEI 2019-Graz (28)
[2] From: Willard McCarty
Subject: Talk: Neurons spike back (Dominique Cardon); Wed 24 April 5pm (79)
--[1]------------------------------------------------------------------------
Date: 2019-04-20 03:39:40+00:00
From: Gimena del Rio Riande
Subject: CfP TEI 2019-Graz
The Program Committee is pleased to announce its call for proposals for the
19th annual Conference and Members' Meeting of the Text Encoding Initiative
Consortium (TEI), which will be held September 18-20, 2019 (Wed-Fri), at
the University of Graz, Austria; with workshops September 16-17 (Mon-Tue).
This year's theme is "What is text, really? TEI and beyond".
This TEI conference wants not only to reach the community interested in
digital representation and processing of text, but also to encourage
scholars working on the fringes of the TEI and beyond to join us in
discussion.
Proposals must be submitted online via ConfTool:
https://www.conftool.net/tei2019/
Subject: Talk: Neurons spike back (Dominique Cardon); Wed 24 April 5pm
Neurons spike back. The invention of inductive machine and the
Artificial intelligence controversy
Dominique Cardon (Sciences Po Médialab)
Safra Lecture Theatre, King's Building, Strand Campus, King's College
London, London, WC2R 2LS
Wed 24 April 2019, 5pm
Register: https://neurons-spike-back.eventbrite.co.uk
Since 2010, machine learning based predictive techniques, and more
specifically deep learning neural networks, have achieved spectacular
performances in the fields of image recognition or automatic
translation, under the umbrella term of 'Artificial Intelligence'. But
their relation to this field of research is not straightforward. In the
tumultuous history of AI, learning techniques using so-called
"connectionist" neural networks have long been mocked and ostracized by
the "symbolic" movement. This talk retraces the history of artificial
intelligence through the lens of the tension between symbolic and
connectionist approaches. From a social history of science and
technology perspective, it seeks to highlight how researchers, relying
on the availability of massive data and the multiplication of computing
power have undertaken to reformulate the symbolic AI project by reviving
the spirit of adaptive and inductive machines dating back from the era
of cybernetics.
The hypothesis behind this communication is that the new computational
techniques used in machine learning provide a new way of representing
society, no longer based on categories but on individual traces of
behaviour. The new algorithms of machine learning replace the regularity
of constant causes with the "probability of causes". It is therefore
another way of representing society and the uncertainties of action that
is emerging. To defend this argument, this communication will propose
two parallel investigations. The first, from a science and technology
history perspective, traces the emergence of the connexionist paradigm
within artificial intelligence techniques. The second, based on the
sociology of statistical categorization, focuses on how the calculation
techniques used by major web services produce predictive recommendations.
This talk will be partly based on the article (in French): Cardon
(Dominique), Cointet (Jean-Philippe), Mazières (Antoine), « La revanche
des neurones. L'invention des machines inductives et la controverse de
l'intelligence artificielle», Réseaux, n°211, 2018, pp. 173-220.
Bio: Dominique Cardon is Professor of sociology and director of the
Sciences Po Médialab. He is working on the transformation of the public
space and the uses of new technologies. He published different articles
on the place of new technologies in the no-global movement, alternative
media and on the process of bottom-up innovations in the digital world.
His recent research focuses on the analysis of the power of algorithms
in the classification of digital information. His work seeks to
articulate the sociology of science and technology with a sensitive
approach to the transformations of contemporary social worlds. He is
currently working on the social effects of the generalization of machine
learning techniques in an ever-increasing number of situations of
everyday life./
His publications include La démocratie Internet (Paris, Seuil/République
des idées, 2010), (with Fabien Granjon), Médiactivistes, Paris, Presses
de Science po, 2010, (with Antonio Casilli), Qu'est-ce que le digital
labor?, Paris, Ina Éditions, 2015, A quoi rêvent les algorithmes, Paris,
Seuil, 2015. In english : "Deconstructing the algorithm: four types of
digital information calculations", in Seyfert (Robert), Roberge
(Jonathan), eds, Algorithmic Cultures. Essays on meaning, performance
and new technologies, New York, Routledge, 2016, pp. 95-110./
This event is part of an ongoing seminar series on "critical inquiry
with and about the digital" hosted by the Department of Digital
Humanities, King's College London. If you tweet about the event you can
use the #kingsdh hashtag or mention @kingsdh. If you'd like to get
notifications of future events you can sign up to this mailing list:
https://mailman.kcl.ac.uk/mailman/listinfo/kingsdh-events .
--
Jonathan Gray | jonathangray.org
Lecturer in Critical Infrastructure Studies
Department of Digital Humanities
King's College London
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