• Media type: E-Book
  • Title: Artificial Intelligence in Public Discourse
  • Contributor: Thelen, Tobias [Author]; Alexandrovsky, Michael [Author]; Algedri, Hanna [Author]; Barkmann, Micaela [Author]; Bax, Tim [Author]; Becker, Antonia [Author]; Breidbach, Kyra [Author]; Breininger, Rabea [Author]; Burmester, Christian [Author]; Charmichael, Edddie [Author]; Deuschle, Alina [Author]; Dix, Dana [Author]; Doganc, Mekselina [Author]; Dönnebrink, Kai [Author]; Drescher, Luisa [Author]; Engelhardt, Kristof [Author]; Ewert, Milan [Author]; Gellert, Franziska [Author]; Gnadt, Kristin [Author]; Godt, Nikolai [Author]; Goldschmidt, Thiago [Author]; Görlitz, Michelle [Author]; Grauwelman, Isabel [Author]; Hardt, Yannick [Author]; [...]
  • Published: Universität Osnabrück: osnaDocs, 2022-07-15
  • Language: English
  • DOI: https://doi.org/10.48693/151
  • Origination:
  • Keywords: Öffentlicher Diskurs ; studentische Arbeiten ; Artificial Intellgence ; 54.08 - Informatik in Beziehung zu Mensch und Gesellschaft ; I.2.0 - General ; student works ; Künstliche Intelligenz ; Public Discourse
  • Description: 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.
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Access State: Open Access
  • Rights information: Attribution - Share Alike (CC BY-SA)