Panel on the accessibility and quality of AI training data for data-driven journalism
At this year's re:publica conference in Berlin, we were present with a panel on the quality and accessibility of AI training data in data-driven journalism. The panel emerged from the KITQAR research project, in which we develop ethical positions on the topic of AI data quality.
Speaking on the panel were: Uli Köppen, Head of Automation + AI Lab, Bayrischer Rundfunk Christina Elmer, Professor of Digital Journalism / Data Journalism, TU Dortmund University Andreas Hauschke, Project Manager for trustworthy AI, VDE e.V. Moderation: Simon David Hirsbrunner, senior researcher and team leader for AI and data ethics, International Centre for Ethics in the Sciences and Humanities (IZEW), University of Tübingen