Science-led AI governance must integrate systemic equity and global cooperation for sustainable development
Original framing: “Science-led governance of AI can help power sustainable development: Guterres” — Global Issues
The article presents science as a foundational element of AI governance, but it critiques the limitations of a purely science-led approach. It calls for science to be integrated with other dimensions for a more holistic framework.
AI governance cannot be reduced to a purely scientific or technical endeavor; it must confront the deep historical and systemic inequities that shape knowledge production and resource distribution.
Integrating Indigenous knowledge, democratizing data, and fostering global cooperation are essential for building ethical and sustainable AI systems. A cross-cultural and interdisciplinary approach, informed by historical awareness and future modeling, can help align technological progress with human and planetary well-being. By centering marginalized voices and embedding equity into governance structures, we can move toward a more just and inclusive digital future.