Entitled “The Role of Large Language Models in Countering Radicalisation”, CounteR’s second webinar will take place online on Thursday, 25 January 2024 from 2:00 to 3:30 p.m. CET. We kindly invite you to register and attend.
For the CounteR consortium, this webinar marks a series of intense and rewarding project activities that will shape CounteR’s final stage of project implementation. All partners and stakeholders are most welcome to join and take part in the virtual discussion. By attending our webinar, they will be able to find out about progress achieved by CounteR, and interact with our distinguished panellists.
In the introductory part, Adrian Onu from AST will present the CounteR project and its solutions. The CounteR platform provides a proactive and technology-driven approach to identifying and countering radical content and the spread of extremist ideologies online.
Next, IMG’s Angel Spasov will talk about synthetic visual data generation using AI. In the following part of the webinar, Prof. Gergely Palla from ELTE will present embedding techniques of networks. These topics are in the focus of a number of scientific publications, authored by consortium partners, available on our website’s Publications Section.
The conclusive module is dedicated to challenges in model bias and explainability. It will be presented by Guillem Garcia from INS. As moderator of the webinar, EI will give the floor to the participants, willing to ask questions, and will encourage active interaction of the audience and the experts during the session.
To participate in the webinar, all interested stakeholders are invited to fill in the registration form. After the event, the presentations will be made available on our website. Follow CounteR’s LinkedIn page for more updates as they become available.
CounteR’s first webinar was conducted in 2022: check our publication for more details.
