Projekt

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Current debates about increasing polarization of the online public sphere stress the role of AI-mediated information access in creating and/or amplifying "filter bubbles" and "echo chambers". Such polarizing developments have been linked to both the biased way in which AI algorithms provide recommendations, as well as to well-known cognitive limitations and biases that hinder people from being able or willing to reflect on the information they encounter online. Taking insights from interdisciplinary research in social and computational sciences, the consortium proposes to develop a new research approach towards reflective AI that challenges the current ways of passive consumption of information and expands the existing affordances of AI technologies to create environments for reflective information practices. This includes not only providing explanations and contextualization of the information recommended by AI algorithms, but also stimulating and empowering people to critically examine information they encounter online, such as to consider alternative perspectives on the conveyed meaning. Developing this research line could lead to shifting the impact of AI technologies towards encouraging more openness and tolerance in the digital society, thus alleviating the challenges posed by societal polarization and encapsulation.

• Dr. Ksenia Koroleva

  European Institute for Participatory
  Media e. V.
  Berlin
  

• Prof. Dr. Katharina Morik

  Technische Universität Dortmund
  Fakultät für Informatik
  Lehrstuhl für Künstliche Intelligenz
  Dortmund
  

• Prof. Martha Larson, Ph.D.

  Radboud University Nijmegen
  Faculty of Science and Faculty of Arts
  iCIS/Department of Language and Communication
  Nijmegen
  Niederlande
  

• Prof. Dr.-Ing. Jasminko Novak

  European Institute for Participatory
  Media e. V.
  Berlin
  

• Prof. Dr. Enny Das

  Radboud University Nijmegen
  Faculty of Arts
  Department of Language and Communication
  Nijmegen
  Niederlande
  

• Dr. Maryam Tavakol

  Technische Universität Dortmund
  Fakultät für Informatik
  Lehrstuhl für Künstliche Intelligenz
  Dortmund
  

• Towards Reflective AI Needs, Challenges & Directions for Future Research