European Commission Unveils €4 Billion Funding for Generative AI through 2027 at 4th AI Community Workshop & AIDA Symposium 2024, Thessaloniki#CommunityWorkshop

At the recent #CommunityWorkshop, Cecile Huet from the European Commission announced significant funding initiatives aimed at advancing generative AI (GenAI) across Europe. With €4 billion allocated for GenAI development and €500 million specifically designated for its applications, the initiative underscores Europe’s commitment to leading in AI innovation and responsibly integrating AI technologies into diverse sectors.

These funding schemes, which are part of the European Commission’s larger digital transformation agenda, are designed to accelerate research, ethical development, and practical applications of GenAI, strengthening Europe’s competitive position in the global AI landscape. The funding will support projects focused on technical innovation, societal impact, and the creation of secure, reliable AI systems that align with European values.

The #GenAI4EU initiative will cover various applications, ranging from industry solutions to public sector advancements, creating opportunities for researchers, developers, and companies to contribute to Europe’s digital future.

For those interested in following the developments, the live stream and full program details can be accessed here: https://lnkd.in/d_r6-vmX, with comprehensive funding information available at: https://lnkd.in/dCPfgPJp.

Workshop Explores the Power of Generative AI in Social Science Research with SCOPE, #AIonDemand, and #NestBW Projects

On June 6-7, a collaborative workshop led by the Societal COmmunication in times of PErmacrisis (SCOPE) project, along with #AIonDemand and #NestBW, showcased the transformative potential of generative AI (GenAI) in social science research. The event aimed to introduce social scientists to AI tools that can reimagine research processes, drawing in over 40 interdisciplinary attendees, including sociologists, political scientists, media scientists, journalists, physicists, AI researchers, and computational social scientists.

The workshop featured five international speakers who provided hands-on insights and demonstrations:

  • Talk 1: Prof. Dr. Paul Lukowicz, Humane AI Net Coordinator and DFKI director, covered the fundamentals of large language models, highlighting their capabilities and limitations.
  • Talk 2: Fiona Draxler, a postdoc at the University of Mannheim, shared her experiences using GenAI for qualitative analysis.
  • Talk 3: Razia Aliani, a Canadian consultant and top LinkedIn research voice, offered a hands-on tutorial on conducting literature reviews and efficiently analyzing data with AI, showing researchers how to streamline paper writing using generative AI tools.
  • Talk 4: Hugo Alves, co-founder of Synthetic Users, demonstrated the generation of interview data based on predefined demographics and led discussions on the pros and cons of synthetic data in research.
  • Talk 5: Passant Elagroudy, DFKI postdoc and Humane AI Net project manager, presented existing GenAI resources for conducting research, including the GenAI research resources website here.

Organized by Passant Elagroudy, Talisa Schwall, Olga Zagovora, Simone Mitzner, and Michaela Maier, the event concluded with hands-on group activities, where participants reimagined their research projects in the light of GenAI.

Stay tuned for the talk recordings and materials, soon to be available on #AIonDemand.

Event details: https://lnkd.in/dt57j96p