Artificial Intelligence
at ChangeNOW 2026

Exploring innovation, ethics, and impact

AI will be a cross-cutting theme throughout the 2026 Summit, with a variety of “AI for Good” solutions showcased in the exhibition area and featured across numerous sessions.

Artificial Intelligence at ChangeNOW 2026

AI will be 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 will shine a light on the transformative potential of artificial intelligence in sectors such as health, climate, and education, exploring how innovation can serve people and the planet.

Innovation and Responsibility

While AI unlocks powerful tools for progress, it also raises urgent questions about ethics, environmental impact, and governance. The Summit will explore these tensions, asking how we can design and deploy AI systems that are not only efficient but also equitable, transparent, and climate-conscious.

Fighting Disinformation

As generative AI reshapes how information is produced and shared, the rise of disinformation becomes one of today’s most critical challenges. ChangeNOW will address how technology can safeguard truth and strengthen democratic resilience in an era where the boundaries between fact and fabrication are increasingly blurred.

Conference : Who Does AI Serve?

The conference “Who Does AI Serve?”, held on Tuesday, March 31 at 12 p.m. on the Agora Stage, will bring together diverse voices to discuss how AI’s benefits and harms are unequally distributed. The session will connect AI’s environmental footprint, accountability frameworks, and power structures within data and language systems — moving from diagnosis to action to ensure AI truly serves humanity and the Earth.

Discover one of the 2026 conferences about Artificial Intelligence

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.