29.09.2023 –, Stahlhalle
Sprache: Deutsch
Meldungen, dass ChatGPT oder andere Sprachmodelle gewisse Tests oder Klausuren bestehen, werden oft als Hinweis auf das große Potenzial dieser Modelle verstanden und öffentlich diskutiert. Auf der anderen Seite geht es viel um Gefahren, oft getrieben von weitreichenden Warnungen unter anderem der Herstellerinnen und Hersteller der Modelle selbst. Aber was sind wirklich die wichtigsten Aspekte, die wir als Gesellschaft thematisieren müssen? Was ist das Potenzial hinter dieser Technologie? Wie können wir KI im (Daten-)Journalismus nutzen? Was erwartet die Wissenschaft vom Journalismus, was braucht der Journalismus von der Wissenschaft?
In diesem Panel wollen wir diese Fragen mit Vertreterinnen und Vertretern aus Wissenschaft und Journalismus diskutieren.
Redakteur für Digitales und Technologie beim Science Media Center
Holger H. Hoos is an Alexander von Humboldt Professor of AI at RWTH Aachen University (Germany), Professor of Machine Learning at Universiteit Leiden (the Netherlands) and Adjunct Professor of Computer Science at the University of British Columbia (Canada), where he also holds an appointment as Faculty Associate at the Peter Wall Institute for Advanced Studies. He is a Fellow of the Association for Computing Machinery (ACM), Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), Fellow of the European Association for Artificial Intelligence (EurAI), chairman of the board of the Confederation of Laboratories of Artificial Intelligence Research in Europe (CLAIRE), vice-president of EurAI, past president of the Canadian Association for Artificial Intelligence (CAIAC), member of the Advisory Board and former Editor-in-Chief of the Journal of Artificial Intelligence Research (JAIR) and leader of the VISION coordination mandate for the four European networks of centres of excellence in AI established in 2020.
Katharina J. Morik has been Professor for Artificial Intelligence at the TU Dortmund University 1991 – 2022. As a pioneer of European machine learning, she contributed to inductive logic programming, genetic algorithms, automated learning, support vector machines, and probabilistic graphical models. She collaborated in several European projects and networks of excellence and was in the founding first steering committee of IEEE ICDM and still is in that of ECML PKDD. She has been leading the Collaborative Research Center 876 on Resource-Aware Machine Learning with 20 Professors and 60 Ph D students. The CRC 876 was approved for the maximum of 12 years. She is a Fellow of the German Society for Computer Science and member of the Academy of Technical Sciences and the North-Rhine Westphalian Academy of Sciences and Arts. Together with Stefan Wrobel, she founded the Lamarr Institute for Machine Learning and AI, one of the five institutional AI centers in Germany.
Eva Wolfangel ist eine deutsche Journalistin und Kulturwissenschaftlerin. Ihre Reportagen zu Technikethik, Künstlicher Intelligenz sowie anderen Themen aus den Bereichen Informatik und Digitalisierung verbinden kreative Erzähltechnik und Wissenschaftsjournalismus. Sie schreibt für die ZEIT, Geo, Spiegel, Brand eins, Technology Review und Spektrum der Wissenschaft und wurde unter anderem mit dem Medienpreis Luft- und Raumfahrt sowie dem European Science Writer of the Year Award ausgezeichnet.
Uli Köppen is Head of AI + Automation Lab and Co-Lead of investigative data team BR Data at German Public Broadcaster Bayerischer Rundfunk. In this role she’s working with interdisciplinary teams of journalists, coders and product developers specializing in investigative data stories, interactive storytelling and experimentation with methods such as bots and machine learning. As a Nieman Fellow 2019 she spent an academic year at Harvard and MIT and was part of Online News Association's Women's Leadership Accelerator 2022. Together with her colleagues she has won several international awards. (Bild-Credit: Lisa Hinder, BR)