AI Governance

In June 2026, I joined the Centre for the Governance of AI (GovAI) in London as a Summer Fellow on the AI governance research track.

My current research, titled “Same Words, Different Meanings: A Negotiator’s Guide to China-Facing AI Governance Language,” examines how the same AI governance terms can carry different meanings in Chinese and Western discourse. The project aims to give policymakers a practical guide for diplomatic engagement with China, including upcoming Track I dialogues, by identifying where apparently shared language may conceal substantive disagreements.

Why AI governance? Over the past decade, much of my work as an international journalist focused on geopolitics, national security, and technology. I have reported from inside TSMC — the world's most advanced semiconductor manufacturer — interviewed the president of Taiwan, and embedded aboard a US nuclear-powered submarine. Much of this reporting examined the intensifying geopolitical competition between the United States and China. Over time, it became increasingly clear to me that artificial intelligence would become one of the defining issues shaping world order and US-China rivalry in the decades ahead.

Frontier AI has now become a mainstream political and economic issue. Yet, much of the focus remains on accelerating AI capabilities, rather than building sufficient safety guardrails and governance frameworks to ensure these systems can be deployed responsibly and safely.

While pursuing my Master's degree in climate policy at the University of Cambridge, I observed a rapid expansion of the AI governance field. There are growing resources to support AI safety research, alongside a recognition that the field needs talent from a wide range of backgrounds to help shape discussions. During the Michaelmas term, I completed the AI Alignment Fellowship at the Cambridge AI Safety Hub.

The research paper will be published later this summer. I will share further updates in this space.