As artificial intelligence (AI) technologies continue to expand rapidly across industries and society, concerns about their environmental footprint are intensifying. While the potential benefits of AI for economic growth, innovation, and climate solutions are significant, there remain crucial gaps in how AI’s environmental impact — including energy consumption, water use, greenhouse gas emissions, and electronic waste — is measured and managed. The pioneering ITU report “Measuring what matters: How to assess AI’s environmental impact” identified critical challenges such as reliance on indirect estimates, fragmented data across AI lifecycle stages, and a lack of standardized, transparent frameworks for reporting and accountability.
WYF Launches Global AI Talent Compact at AI for Good...
World Youth Forum (WYF), an international nonprofit advancing challenge-based learning and youth development across more than 30 countries, launched the...
AI for Good | Global Summit
Real AI, real problems, real solutions: What we learned from...
Walk the halls at the AI for Good Global Summit and you notice that the most crowded rooms aren’t the...
AI for Good | Global Summit
Building smarter cities: From connected infrastructure to trusted urban services
What makes a city “smart” is not the number of sensors installed across its streets. It is the ability to...
AI for Good | Global Summit









