0930 - 1100 UTC (90') 1030 - 1200 CET Join the Debate: AI-driven weather forecasting models should replace traditional human-led analysis in training and decision-making (Madalina Ungur - EUMETSAT)
0930 - 1100 UTC (90') 1030 - 1200 CET Join the Debate: AI-driven weather forecasting models should replace traditional human-led analysis in training and decision-making (Madalina Ungur - EUMETSAT)
Innovation in training is often associated with new tools and technologies. Lately, AI dominates this conversation, generating excitement, skepticism and confusion. Many of us are already experimenting with generative AI in our personal and professional lives. AI is also reshaping the landscape of meteorology, from global forecasting models to interactive learning tools, but how far will it go?
This session offers a chance to explore this topic through a structured, participatory Debate around a provocative statement, such as:
“AI-driven weather forecasting models should replace traditional human-led analysis in training and decision-making.”
The format is simple: participants are randomly split into two teams, one to argue in favor of the statement, the other against it. Each team has 45-60 minutes to prepare their arguments, choose three speakers, and build their case using available resources, including generative AI tools such as ChatGPT to support brainstorming, summarising key points, and organising ideas.
After a fast-paced debate and closing arguments, we will step back and reflect on the experience: What did we learn about AI? What about ourselves as learners?
This debate is not about winners and losers. It’s a creative, energetic format that invites critical thinking, collaboration, and playful engagement with one of the most important questions facing training communities.
We are hoping to run one session online and one in person, in Florence.