Advisory Board Members​​

AIHK Safety & Governance Council

The Artificial Intelligence Association of Hong Kong (AIHK) has established a new council division dedicated to addressing challenges and promoting best practices in AI safety, ethics, and technological innovation for commercial and institutional applications and use cases.

This Council brings together leading academic and industry experts to drive critical discussions and shape the future of responsible AI development in Hong Kong and beyond.

Prof Adrian Yee

Religion & Philosophy

HKBU

Prof Andrea Sauchelli

Philosophy

LINGNAN UNIVERSITY

Prof Antoni Chan

Computer Science

CITY UNIVERSITY HK

Prof Boris Babic

Data Science, Philosophy, & Law

HKU

Prof Brian Wong

Humanities

HKU

Prof Gleb Papyshev

Government & International Affairs

LINGNAN UNIVERSITY

Prof Janet Hui-Wen Hsiao

Cognitive Science & AI Ethics

HKUST

Prof Lequan Yu

Computing & Data Science

HKU

Prof Levi Mahonri Checketts

Chinese, History, Religion, Philosophy

HKBU

Prof Masaru Yarime

Public Policy & AI Governance

HKUST

Prof Nathaniel Sharadin

Philosophy

HKU


Prof Pak-Hang Wong

Religion & Philosophy

HKBU

Prof Rachel Sterken

Philosophy

HKU

Prof Reynold Cheng

AI & Data Science

HKU

Prof Yangqiu Song

Computer Science & Engineering

HKUST

Vision

To establish Hong Kong as a global leader in AI safety and technological excellence by cultivating a robust ecosystem where academic insight informs policy, research, and industrial practices. The Council envisions a future where AI innovations contribute meaningfully to economic growth, societal well-being, and public trust, underpinned by a strong culture of responsibility and integrity.

Mission

The Council’s mission is to advance the development, deployment, and regulation of AI technologies in ways that are safe, ethical, and beneficial to the economy and society. By convening professors, researchers, and thought leaders from Hong Kong’s foremost universities, the Council fosters interdisciplinary collaboration aimed at establishing standards and solutions for emergent risks and opportunities in AI.