AI Educator Webinares/Workshops

As generative AI continues to revolutionize teaching and learning, it is imperative for educators to understand how this technology impacts assessment practices. AI for Education's webinar, "Redefining Assessment in the Age of AI," discussed the transformative effects of AI on student learning and the necessity of evolving assessment methods to keep pace with these changes.

Last week we hosted a session on this topic. Demand was so great for it, and so many questions remained, that we followed up right away with a sequel. What do we know about how the chatbot works? Does ChatGPT pose an existential threat to higher education, or instead offer new ways of teaching, learning, and researching? Last week's session: https://youtu.be/Bz7aW6vStBw

LELA - LernLabor Hochschuldidaktik für Digital Skills, CH Die Webinar-Reihe «AI or what the ChatGPT?» basiert auf der Vorarbeit des LeLa Forums https://lela.ch/detail/agenda/chatgpt und soll Perspektiven der fünf Hochschulen und den Auswirkungen auf die Lehrentwicklung mit/durch oder von KI diskutieren. Zudem kam der Bedarf auf, das zu beschreiben bzw zu erklären, was KI eigentlich ist und welche ethischen Grundfragen sich daraus ergeben. Diese über den Tellerrand Fragen werden am 21.3 und 20.6 beschrieben werden und bietet sodurch einen gemeinsame Sprache. Die Inputs wurden aufgenommen und hier veröffentlicht.

With their ability to generate human-like language and complete a variety of tasks, generative AI has the potential to revolutionise the way we communicate, learn and work. But what other doors will this technology open for us, and how can we harness it to make great leaps in technology innovation? Have we finally done it? Have we cracked AI? Join Professor Michael Wooldridge for a fascinating discussion on the possibilities and challenges of generative AI models, and their potential impact on societies of the future. Michael Wooldridge is Director of Foundational AI Research and Turing AI World-Leading Researcher Fellow at The Alan Turing Institute. His work focuses on multi-agent systems and developing techniques for understanding the dynamics of multi-agent systems. His research draws on ideas from game theory, logic, computational complexity, and agent-based modelling. He has been an AI researcher for more than 30 years and has published over 400 scientific articles on the subject. This lecture is part of a series of events - How AI broke the internet - that explores the various angles of large-language models and generative AI in the public eye. This series of Turing Lectures is organised in collaboration with The Royal Institution of Great Britain.