About the institute
AI leadership in Hong Kong: the people behind AIKm
Founded in 2024 at Hong Kong Science Park, currently in Cyberport. AIKm (AI and Machine Learning Institute for Enterprise Knowledge Management) is a Hong Kong institute connecting applied AI research, enterprise strategy and responsible AI governance. Dr Hoson H.S. Lam, Chairman and Chief Scientist, leads its research and consulting, supported by fellows and board advisors from academia and industry. Our work connects deep learning, RAG, knowledge graphs and agentic AI with enterprise knowledge management and the wider societal impact of AI.
Enterprise AI governance consulting → · Responsible AI research →
Mission
Turning organisational knowledge into a working asset
Every organisation accumulates knowledge: in documents, systems, conversations and the experience of its people. Most of it sits idle. Our mission is to empower organisations with state-of-the-art deep learning and AI technologies that optimise knowledge processes, enhance decision-making and drive innovation, while remaining mindful of the wider societal impact of the systems we build.
We bridge academic research and business reality. Our researchers and data scientists develop algorithms and reference architectures in the lab, then prove them in live enterprise deployments, in Asia's bilingual, fast-moving markets where off-the-shelf answers rarely fit.
AIKm operates from Cyberport and works with enterprises, universities and industry bodies across Hong Kong, the Greater Bay Area and internationally, in English, Cantonese and Mandarin.
Organisation chart
Our governance and committee structure
AIKm is governed by a Council (Board of Directors) drawn from academia, industry and government, supported by honorary leadership, standing committees and an executive team.
How we work
Three principles behind everything we ship
Research-grade rigour
Recommendations rest on measured results, not vendor claims. We evaluate retrieval accuracy, agent reliability and generation quality before anything reaches production.
Bilingual by design
Our systems and programmes are designed for organisations operating across Traditional Chinese, Simplified Chinese and English, a constraint most global tooling ignores.
From lab to line of business
A method only matters when it survives contact with real data, real users and real governance requirements. We stay engaged through deployment, not just the pilot.
Governance
Honorary chairman, advisors and steering committee
AIKm's governance combines honorary leadership with a working steering committee that guides the institute's strategic direction and programme priorities.
Dr Herbert Lee
Honorary Chairman
Board-level advisors
- Prof John Mok
- Prof Wilton Chau
- Prof. Dr. Kelvin WAN
Members (alphabetical)
- Dr Charles Cheung
- Dr Herbert Lee
- Dr Hoson Lam
- Dr Joe Chan
- Prof John Mok
- Prof Kenneth Lam
- Dr Patrick Ma
- Prof Wilton Chau
Leadership & fellows
The people behind AIKm
AIKm is led by a farsighted team: Dr Hoson H.S. Lam as Chairman & Chief Scientist, Fellow Members from Stanford's list of the world's top 2% most-cited scientists, and Board Advisors from academia, engineering and the Project Management Institute. Together they steer the institute's work on deep learning and enterprise AI with a constant eye on its impact and importance to society.
Dr Hoson H.S. Lam
Chairman & Chief Scientist
Dr Hoson H.S. Lam leads AIKm's research programme and consulting practice, directing the institute's work on enterprise knowledge management, retrieval-augmented generation and agentic AI systems. See his CityU Scholars profile.
Prof Kenneth Lam
Stanford listed top 2% most-cited scientist
Prof Kenneth Lam is a Fellow Member of AIKm and is named on Stanford University's list of the world's top 2% most-cited scientists. See the PolyU EEE profile.
Dr W.M. Tsang
Stanford listed top 2% most-cited scientist
Dr W.M. Tsang is a Fellow Member of AIKm and is named on Stanford University's list of the world's top 2% most-cited scientists. See the CityU Scholars profile.
Advisory board: our advisors
AIKm's board advisors guide the institute on enterprise deployment, innovation and programme governance. Together with our Fellow Members they act as senior advisors to the Chairman & Chief Scientist on strategic direction and research priorities.
Prof John Mok
Board Advisor
Prof John Mok serves as a Board Advisor to AIKm on engineering, industry and enterprise deployment. More at LinkedIn profile.
Prof Wilton Chau
Board Advisor
Prof Wilton Chau serves as a Board Advisor to AIKm on innovation, entrepreneurship and technology commercialisation. More at CUHK Business School profile.
Prof. Dr. Kelvin WAN
Board Advisor
Prof. Dr. Kelvin WAN, a globally certified AI top leader from both PMI(US) and APMG(UK) specializing in AI Governance, Methodology, Risk, AI Program (EC-Council) and AI Project (AIPM and PMI) on programme governance and enterprise delivery. More at LinkedIn profile.
Membership
Join the AIKm community
We welcome practitioners, researchers and enterprise teams into our member network. Members join seminars and study groups, receive our research notes, and get early access to training cohorts and pilot programmes.
Membership is open to individuals and organisations. Tell us about your interests and we'll follow up with the current programme calendar.
Apply to joinFrequently asked questions
About AIKm: FAQ
What is AI governance for Hong Kong enterprises?
AI governance is the set of responsibilities, policies and controls used to oversee AI throughout its lifecycle. For Hong Kong enterprises, it includes data privacy, model risk, auditability and human oversight. AIKm addresses these topics through responsible AI research, enterprise consulting and professional training; governance complements technical deployment rather than replacing it.
Who leads AIKm?
AIKm is led by Dr Hoson H.S. Lam, Chairman & Chief Scientist, and governed by Honorary Chairman Dr Herbert Lee with Honorary Advisors Prof John Mok and Prof Wilton Chau. Fellow Members Prof Kenneth Lam and Dr W.M. Tsang are both on Stanford University's list of the world's top 2% most-cited scientists. This farsighted team guides AIKm's research and consulting with a strong focus on the impact of deep learning and AI on society.
Where is AIKm located?
AIKm is based at Unit 809, Level 8, Cyberport 5, 100 Cyberport Road, Hong Kong. Email director@aikm.ai.
What does AIKm do?
AIKm is a pioneering Hong Kong institute, founded in 2024, that runs applied deep learning and AI research, AI consulting and professional AI training focused on enterprise knowledge management: RAG, enterprise knowledge graphs, agentic AI systems, multimodal generative AI and responsible AI governance. Its work is shaped by a concern for the societal impact and importance of AI.
Which industries does AIKm serve?
AIKm serves finance and insurance, retail and F&B, logistics and freight, property and facilities, and professional services across Hong Kong and the Greater Bay Area, in English, Cantonese, Mandarin and Arabic.
How is AIKm structured?
AIKm is governed by a Council (Board of Directors), supported by honorary leadership, standing committees (nomination, audit, remuneration, financial administration, training and membership) and an executive team led by the General Manager and Secretary. Research, Consulting, Education & Training, and Community & Membership sit under the Chairman & Chief Scientist's Office.
How can I become an AIKm member?
AIKm offers corporate, fellow, senior, full, student and personal membership. See the AIKm members roster at https://aikm.ai/members and apply via the AIKm application form linked from every page's 'Apply to join' button.