Description
As global interest in AI governance intensifies, various multilateral bodies have initiated competing frameworks, summits, and regulatory agendas. In light of a globally fractured regulatory stage, I contributed to the development of a tiered global AI policy strategy aimed at steering global priorities toward transparent, accountable governance of AI models and public-interest technology.
This work informed Mozilla’s 2025 Global AI Governance Strategy and its engagement with international frameworks including the EU’s Digital Services Act, the EU AI Act, and evolving US executive orders. Alongside it, I produced executive briefings, policy memos, and partnership briefs spanning governance, IP, labor, and emerging technology.
Some Questions I explored:
How can multilateral and multistakeholder governance models be leveraged to advance transparency and accountability in model development, given the differing preferences of Western nations (favoring multistakeholderism) and developing countries (favoring multilateral fora)?
In what ways can regional anxieties, such as the EU’s focus on digital sovereignty and regulatory exportation, and the US’s emphasis on national security and innovation dominance, be aligned with broader global AI governance frameworks?
What strategies can be employed to optimize influence and legitimacy within multilateral fora, particularly when navigating tensions around input legitimacy (formal decision-making processes) versus outcome legitimacy (demonstrated ability to achieve stated goals) in the evolving AI governance landscape?