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A high-level platform bringing together technology, business, public-sector and impact leaders to unlock the potential of AI and data for climate, nature and society.
AI is transforming every sector of the economy and can accelerate progress across energy, industry, agriculture, climate resilience and nature protection.
But delivering a positive impact requires more than technological performance: it depends on reliable data, fit-for-purpose models, responsible governance and a clear understanding of AI’s environmental and societal footprint.
Showcase proven solutions delivering measurable impact
Explore more efficient, responsible and human-led approaches to AI
Strengthen collaboration around data access, quality and governance
While AI unlocks powerful tools for progress, it also raises urgent questions about ethics, environmental impact, and governance.
Artificial Intelligence at ChangeNOW 2026
AI was a cross-cutting theme throughout the 2026 Summit, with a wide range of “AI for Good” solutions showcased in the exhibition area and discussed across numerous sessions. ChangeNOW shone a light on the transformative potential of artificial intelligence in sectors such as health, climate, and education, exploring how innovation could serve people and the planet.
Who Does AI Serve?
Artificial intelligence is advancing at breakneck speed, but a fundamental question remains: who benefits, and who bears the cost? This session shines a light on three realities that are too often treated in isolation: the environmental impact of AI, the governance choices that determine accountability, and the power dynamics inherent in data, language, and institutions.
We will move from analysis to concrete leverage points: how to measure and reduce impacts, how public and private procurement can set standards, what transparency and enforcement can realistically achieve, and how open, participatory approaches can rebalance control over data and systems. The goal is clear: to shape AI so that it serves humanity and the planet, rather than reinforcing existing inequalities.
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