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Swedish NLP webinars - Climate change and large-scale language models: a panel discussion

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Online

This is a bi-weekly webinar series for people who work with, or are interested in, NLP. The idea is to provide a platform for both academic researchers and industry practitioners to present, listen to, and discuss recent work in NLP.

Arranged by: 
AI Sweden and RISE NLU Group

In this week's edition of the Swedish NLP webinar series, we will host a panel discussion on climate change and large-scale models.

The role of AI in contributing to solutions tackling climate change is often discussed. We have now invited experts to discuss different aspects of the effect that AI in general, and NLP in particular, may have on climate change. The panel consists of experts from multiple areas, including climate scientists, AI researchers and funding agencies.

The panel will be moderated by Magnus Sahlgren, Head of the Natural Language Understanding Group at RISE Research Institutes of Sweden and Johanna Bergman, Head of Project Portfolio at AI Sweden. The panel consists of: 

Leon Derczynski,  Professor in Computer Science, IT University of Copenhagen
Joakim Nivre, Professor in NLP, Uppsala University
Victor Galaz Rodriguez, Deputy Director, Stockholm Resilience Center
Fredrik Weisner, Head of AI, Vinnova

Questions to be discussed include:

  • Do we as AI researchers have any responsibility in this? If so, what and in what way?
  • Are there potential measures we can take that could have a real impact?
  • Given that large Transformers are state-of-the-art, is it reasonable to research other methods that are currently giving worse results?

 

To attend the event and to receive any updates;

Register here

By practitioners, for practitioners

The main focus of the webinars is NLP development in Sweden and for the Swedish language, but international breakthroughs may also be discussed. 

Each webinar features an initial 45-minute presentation that covers recent work that in some sense is relevant for Swedish NLP, followed by 45 minutes of discussion.

Time: Wednesdays odd weeks 14:00-15:30