Science Collaboration is the Backbone

Scientific collaboration is the backbone of a fair, innovative, and human‑centered AI ecosystem. In a world where technological capabilities are unevenly distributed, collaborative research becomes a powerful equalizer — enabling nations, institutions, and communities to pool knowledge, share resources, and accelerate discovery in ways no single actor can achieve alone.

At its core, scientific collaboration ensures that the development of artificial intelligence reflects the diversity of human experience. It brings together researchers from different regions, disciplines, and cultural perspectives to co‑create solutions that are more ethical, more inclusive, and more globally relevant. By opening pathways for joint research, shared datasets, interoperable infrastructure, and cross‑border scientific exchange, collaboration transforms isolated innovation into collective progress.

For the AI Without Borders Network, scientific collaboration is not only a method — it is a principle of justice. It ensures that emerging economies and historically underrepresented communities have the opportunity to contribute to frontier research, shape global standards, and participate in the governance of technologies that will define their futures. It strengthens trust, reduces duplication, and accelerates breakthroughs that benefit humanity as a whole.

Ultimately, scientific collaboration is the foundation of a world where AI advances through cooperation rather than competition, and where knowledge becomes a shared resource for dignity, rights, and prosperity.

Policy & Ethics Roundtable in Brazil

We held a policy and ethics roundtable under the leadership of Lula, the President of Brazil, at the UNGA 80. With a focus on AI geopolitics, the roundtable addressed the rise of AI as America and China battle for global AI supremacy and dominance. Under the title: Geopolitics of AI: The Clash of Four Competing Worldviews, an upcoming book by Dr Jean Narcisse Djaha, AI experts expressed their concerns about the rise of geopolitics in technology in general, with a particular focus on the Global South, still behind in the innovation race.

What We Have Done:

The AI Without Borders Network has engaged inclusive and globally accessible in cross-sector engagements to foster multilateral collaboration in AI. These programs brought together researchers, policymakers, technologists, and community leaders to co-create solutions, share knowledge, and shape ethical AI practices.

What We Can do:

Our distinguished experts have the potential to help democratize AI innovation, build capacity across borders, and ensure that AI development reflects diverse global perspectives.