An upcoming webinar run by Informatics Europe will feature Karl de Fine Licht, associate professor in ethics and technology at Chalmers University of Technology in Sweden, who will discuss ‘Integrating Large Language Models into Higher Education: Guidelines for Effective Implementation’. The webinar, taking place on the 29th of September at 16:00 IST (17:00-18:00 CEST), is brought to the community through Dr Dympna O’Sullivan, ADAPT academic and Head of Research at TU Dublin’s Faculty of Computing, Digital and Data, who is Chair of the Informatics Europe Ethics Working Group. The event forms part of a series designed as a platform for computer scientists to share their latest research achievements in informatics and exchange insights into career development related to informatics research. Webinars are open to all, fostering knowledge exchange within the overall Informatics/Computer Science community.
Registration for the event can be done here: https://www.informatics-europe.org/events/webinars.html
The rise of large language models (LLMs) like OpenAI’s GPT-4 has opened new possibilities in higher education, sparking debate about their role in educational curricula. In this presentation, Professor Karl de Fine Licht will argue that the discussions have often missed the need for proper guidelines for LLMs’ utilisation. It emphasises a transparent and inclusive approach involving faculty, administration, and students in decision-making. The importance of clear rationales for LLM guidelines and an effective implementation plan will be highlighted to foster acceptance and compliance.
Bio: Karl de Fine Licht is an associate professor in ethics and technology at Chalmers University of Technology. He has a wide array of research interests, including AI in public decision-making and, more recently, AI in higher education. de Fine Licht is also a member of the ethics committee at the Chalmers AI Research Centre (CHAIR), and serves as a pedagogical leader (PEDUL). He is responsible for coordinating the implementation efforts at Chalmers related to AI tools in higher education.
