Hong Kong University Hosts Global AI Governance Conference as Policy Debates Intensify
The two-day HKU-led forum brought together scholars and policymakers to expand international dialogue on AI regulation, accountability, and global coordination
University-led AI governance initiatives in Hong Kong are increasingly positioning the city as a convening point for global technology policy debates, with the Hong Kong Global AI Governance Conference 2026 held at the University of Hong Kong focusing on how artificial intelligence should be regulated across borders and sectors.
The conference, hosted on April 10–11, 2026 by the HKU Musketeers Foundation Institute of Data Science, gathered dozens of academics, policymakers, and industry figures from Asia, Europe, and North America to examine the governance challenges posed by rapidly advancing AI systems.
What is confirmed is that the event included keynote dialogues, panel discussions, and thematic sessions on areas such as education, legal frameworks, public governance, and international cooperation.
Organisers described the conference as an effort to broaden the global AI policy conversation beyond dominant geopolitical framing and to include perspectives from a wider range of regions.
That emphasis reflects a growing concern in academic and policy circles that AI governance debates are often concentrated around a small number of major technological powers, leaving broader international stakeholders underrepresented.
Across the two days, participants discussed issues including accountability in AI systems, explainability of machine learning models, regulatory design, and the societal impacts of emerging technologies.
Several sessions also examined how governments and institutions can coordinate across jurisdictions as AI development accelerates faster than existing legal and regulatory frameworks.
The conference forms part of a broader series of initiatives at HKU’s data science and policy institutes aimed at integrating technical research with ethical and governance questions.
The institution has increasingly hosted interdisciplinary forums on artificial intelligence, reflecting Hong Kong’s positioning as a regional hub for academic and policy exchange on emerging technologies.
While the discussions highlighted areas of emerging consensus on the need for stronger oversight and international collaboration, no binding policy outcomes were produced.
What remains ongoing is how such academic and policy dialogues may translate into formal regulatory coordination across different jurisdictions, particularly as governments continue to develop their own competing approaches to AI governance.
The conference, hosted on April 10–11, 2026 by the HKU Musketeers Foundation Institute of Data Science, gathered dozens of academics, policymakers, and industry figures from Asia, Europe, and North America to examine the governance challenges posed by rapidly advancing AI systems.
What is confirmed is that the event included keynote dialogues, panel discussions, and thematic sessions on areas such as education, legal frameworks, public governance, and international cooperation.
Organisers described the conference as an effort to broaden the global AI policy conversation beyond dominant geopolitical framing and to include perspectives from a wider range of regions.
That emphasis reflects a growing concern in academic and policy circles that AI governance debates are often concentrated around a small number of major technological powers, leaving broader international stakeholders underrepresented.
Across the two days, participants discussed issues including accountability in AI systems, explainability of machine learning models, regulatory design, and the societal impacts of emerging technologies.
Several sessions also examined how governments and institutions can coordinate across jurisdictions as AI development accelerates faster than existing legal and regulatory frameworks.
The conference forms part of a broader series of initiatives at HKU’s data science and policy institutes aimed at integrating technical research with ethical and governance questions.
The institution has increasingly hosted interdisciplinary forums on artificial intelligence, reflecting Hong Kong’s positioning as a regional hub for academic and policy exchange on emerging technologies.
While the discussions highlighted areas of emerging consensus on the need for stronger oversight and international collaboration, no binding policy outcomes were produced.
What remains ongoing is how such academic and policy dialogues may translate into formal regulatory coordination across different jurisdictions, particularly as governments continue to develop their own competing approaches to AI governance.
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