Maya Sherman: AI Governance Depends on Diplomacy, Not Just

This balancing act is central to Sherman’s vision. Her work demonstrates that effective AI governance requires three pillars: technical rigor, ethical foresight, and cross-border collaboration. "We're not just regulating technology—we're shaping the future of human interaction," she says.

This approach aligns with broader trends in tech diplomacy. Israel’s collaboration with India on AI research, highlighted in the RegulatingAI podcast, demonstrates how cross-border partnerships can drive innovation while addressing shared challenges. "When we talk about AI ethics, we're really talking about human rights," Sherman notes. "That requires listening to voices from every corner of the globe." How AI Policy Meets

Path B: The Fragmentation Risk

The cautionary path, however, is already unfolding. Regulatory fragmentation is creating a patchwork of standards that hinders global cooperation. Sherman warns that without unified frameworks, "we'll see a two-tier system where developed nations dictate terms to the rest of the world." This could entrench existing power imbalances, with emerging economies left to navigate a labyrinth of conflicting regulations. American Bazaar Onli

The digital divide is another critical risk. As AI systems become more sophisticated, access to these tools will determine economic outcomes. "If we don't prioritize inclusivity, AI will become a weapon of exclusion," Sherman cautions. American Bazaar Onli

The Deciding Factors

The next 12 months will determine whether AI governance becomes a tool for equity or a mechanism for exclusion. Key factors include: (1) the balance between regulation and innovation, (2) the role of international cooperation in setting standards, and (3) the prioritization of cultural and linguistic diversity in AI systems. Sherman’s work shows that these are not abstract debates—they are practical choices with real-world consequences.

My Read: A Call for Inclusive Diplomacy

I believe we are on the cusp of a paradigm shift. Sherman’s emphasis on diplomacy over technology alone is not just idealistic—it’s pragmatic. The alternative is a future where AI exacerbates global inequalities, with developing nations left behind. To avoid this, policymakers must adopt a more nuanced approach that values cultural context, linguistic diversity, and cross-border dialogue. American Bazaar Onli

Here’s what would change my mind: a demonstrated commitment from global leaders to fund inclusive AI initiatives and establish binding international standards. Until then, the path forward remains clear—and urgent.

— Romaric Anderson, Tech Curator at AI Loop