Global Future Council on the Future of Artificial Intelligence
Global Future Council on the Future of Artificial Intelligence

Description
The emergence of stronger forms of artificial intelligence, such as foundation models, multi-modal models, large language models, and transformers, has the potential to disrupt existing sectors and information ecosystems. How can the transformative powers, and the opportunities and risks associated with these new models be better understood and harnessed?
Co-Chair
Virginia Dignum, Dean, Umeå School of Business, Economics and Statistics
Stuart Russell, Professor of Computer Science, University of California
Council Manager
Benjamin Larsen, Project Lead, Artificial Intelligence and Machine Learning - C4IR Platforms, World Economic Forum
Our contribution
Related articles

Generative AI won't kill education — unless we allow it to
Generative AI doesn't signal the end of human civilization, as some have warned — but it is disruptive. The education sector, in particular, must prepare.

すべての人のためのAIの未来を構築するために、今こそ連携を
AI(人工知能)ガバナンスの枠組みは、産業界のリーダー、政府、アカデミア、市民社会の組織を巻き込み、共同で構築される必要があります。

We must come together to ensure an AI future that works for all
AI is already transforming our lives and economies. To harness its potential and mitigate risks, we need a governance framework built through cooperation.

Why EdTech must prioritise research and innovation from the Global South
See why EdTech research projects must move beyond targeting traditional learning outcomes in the Global South and learning innovation in the Global North.

This is the AI balancing act: between its huge potential and growing emissions
The AI industry could be worth $1,600 billion by 2030. That growth means more emissions. Here's how we balance AI's potential and its environmental impact.