Artificial Intelligence in Public Discourse

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https://doi.org/10.48693/151
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Title: Artificial Intelligence in Public Discourse
Authors: Thelen, Tobias
Alexandrovsky, Michael
Algedri, Hanna
Barkmann, Micaela
Bax, Tim
Becker, Antonia
Breidbach, Kyra
Breininger, Rabea
Burmester, Christian
Charmichael, Edddie
Deuschle, Alina
Dix, Dana
Doganc, Mekselina
Dönnebrink, Kai
Drescher, Luisa
Engelhardt, Kristof
Ewert, Milan
Gellert, Franziska
Gnadt, Kristin
Godt, Nikolai
Goldschmidt, Thiago
Görlitz, Michelle
Grauwelman, Isabel
Hardt, Yannick
Häuser, Deborah
Herwig, Jara
Heyen, Malte
Holzapfel, Till
Imkenberg, Fabian
Jagusch, Virginia
Jandaghi, Ali
Janz, Joline
Kalcher, Maximilian
Khokhlova, Karina
Kirmis, Paula
Kopetsch, Johanna
Krüger, Ralf
Laudon, Julia
Lazik, Lina
Le Foll, Elen
Lülf, Sönke
Luther, Anna Ricarda
Matheis, Clara
Matschke, Richard
Maubach, Louisa
Mühlinghaus, Sascha L.
Münster, Pia
Naujoks, Felix
Nemitz, Janeke
Neugarth, Thimo
Neuhoff, Sarah
Nicke, Till
Ohnesorge, Alina
Okonnek, Lilith
Oprotkowitz, Cosima
Palme, Elisa
Pätzold, Florian
Pieper, Tom
Pietschke, Daniel
Polivanov, Ivan
Rajput, Muhammad Faraz
Reichmann, Janine
Schier, Clara
Schlenker, Rebekka
Scholle, Sabine
Singh, Archana
Smyrka, Lennard
Stormborn, Julia
Strömel, Konstantin
Tamm, Johanna
Targan, Kim
Tayebi, Hedye
Timm, Franka
Titz, Lisa
Tiyavorabun, Lea
Trant, Katharina
Tsarigradski, Nikola
von Butler, Eva
Wagner, Anita
Walter, Jasmin L.
Werner, Nele
Werries, Christoph
Wohlert, Inga
Näther, Jacqueline
Richter, Matthias
Ruland, Marcel
Wiedenroth, Anna
ORCID of the author: https://orcid.org/0000-0002-3337-6093
https://orcid.org/0000-0002-5364-7778
https://orcid.org/0000-0002-5839-8010
Contributions by: Thelen, Tobias
Abstract: This book contains 26 studies conducted by students in the Cognitive Science seminar "Artificial Intelligence in Public Discourse". In their studies, they explore the use of the term Artificial Intelligence (AI) and related subfields in various parts of public discourse such as Twitter, user comments on news sites, expert interviews, government documents, television shows, newspapers, etc. It is investigated which strengths, weaknesses, opportunities, and threats are ascribed to AI technology and how this relates to the technical and academic state of the art and discussion. Most studies employ qualitative methods, but quantitative and mixed-methods approaches are also used.
Citations: Tobias Thelen (ed.), Osnabrück, Institut für Kognitionswissenschaft, 2022, 1. Auflage, PICS - Publications of the institute of Cognitive Science 2022, number 3
URL: https://doi.org/10.48693/151
https://osnadocs.ub.uni-osnabrueck.de/handle/ds-202207157198
Subject Keywords: Künstliche Intelligenz; Öffentlicher Diskurs; studentische Arbeiten; Artificial Intellgence; Public Discourse; student works
Issue Date: 15-Jul-2022
License name: Attribution-ShareAlike 4.0 International
License url: http://creativecommons.org/licenses/by-sa/4.0/
Type of publication: Buch [book]
Appears in Collections:PICS - Publications of the Institute of Cognitive Science

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