# Ten principles

1. **Science is a driver of socioeconomic development**. It must be done everywhere, including in the poorest regions.
2. **Modern science is rooted in colonialist practices**. This should be acknowledged and reversed.
3. **Research agendas must be dictated by the needs of the people worldwide**, not by a privileged minority or to satisfy private interests.
4. Scientific knowledge should be immediately **free and accessible to all**.
5. **AI and digital technologies** have become a fundamental part of experimental sciences.
6. **Open source software**, if properly funded and maintained, promotes reproducibility and reusability of scientific outputs.
7. **Community building** is at the root of scientific innovation and ensures participation of the global majority.
8. Training and mentoring are integral to scientific development and the **only path to sustainability.**
9. AI requires vast amounts of data. Also in science, **data providers** should be credited and data extractivism avoided.
10. AI is transforming our world — at the risk of deepening existing inequalities. Science is one aspect of society where **AI can bear undisputable good**.