AI for Good 169d ago

Recent advances in Generative AI have given rise to strong emotions among the general public, including excitement, fear, wonder, and disbelief. To be sure, the emergence of Large Language Models (LLMs) marks a significant milestone in the history of AI. But are systems like ChatGPT and Gemini actually intelligent, and are we at the threshold of so-called Artificial General Intelligence (AGI)? This session provides an overview of how LLM-based systems work, where they excel, and where they fall short, with a special emphasis on opportunities for the complementary strengths of humans and machines. Speakers: Serge Belongie Professor of Computer Science, University of Copenhagen Moderators: Markus Reichstein Director & Professor, Max Planck Institute for Biogeochemistry AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges. AI for Good is organized by ITU in partnership with over 50 UN partners and co-convened with the Government of Switzerland. Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to solve global challenges using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ X: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.