Webinar date: 4 September 2024
From writing science news stories, to visualising data, and making RTV productions, generative AI is transforming science communication practice. This transformation is raising questions about the skills we need to teach for our students to thrive in the world of generative AI and creating challenges in how we assess them. In this webinar, organised by the PCST Teaching Forum, we reflected on these issues and considered how science communication teaching needs to adapt with the advent of powerful tools such as ChatGPT and how assessments need to change to ensure they remain effective.
This webinar was the second in the series. The first looked at how AI is used in science communication practice, and reflected on the skills we need to teach science communication students in order for them to be competitive in the job market. This second webinar looked more closely at science communication pedagogy in the context of generative AI, guidelines for training, ethics and gender issues.
Programme
Chair: Melanie Smallman, University College London
Hosts: Frans van Dam, Utrecht University and Andy Ridgway, University of the West of England
Introductions
Chair Melanie Smallman
Experiences of working with AI in a science communication teaching and research environment
Dominique Brossard, Department of Life Sciences Communication, University of Wisconsin-Madison, United States
Pitfalls and problems (particularly relating to gender) with generative AI
Giuliana Rubbia and Gloria Bordogna, Istituto Nazionale di Geofisica e Vulcanologia Milano, Italy
What is required from training? Reporting on a participatory approach to develop guidelines for training
Núria Saladié and Gema Revuelta, Science, Communication and Society Studies Centre, Universitat Pompeu Fabra Barcelona, Spain
General discussion with audience
