Keynote Speech I
Topic: “AI Ethics and Governance – Emerging Consensus and Future Challenges”
Professor Matthew Lee
Chair Professor of Digital Business and AI
Associate Dean (Learning and Teaching)
Lee Shau Kee School of Business and Administration
Hong Kong Metropolitan University
Professor Matthew Lee is Chair Professor of Digital Business & AI and Associate Dean (Teaching & Learning) at Hong Kong Metropolitan University (HKMU). He was a former Vice President and Chair Professor of Information Systems & E-Commerce at the City University of Hong Kong.
His research focuses on how information systems and artificial intelligence shape individual, team, and business behaviors. Key areas include IT innovation adoption, knowledge management, e-commerce, online marketing, social networks, technology addiction, digital competence, and AI's impact on these domains. He is particularly interested in AI Ethics and Governance, having recently developed and taught a full master-level course to business school graduate students.
Professor Lee has published over 200 articles in leading research journals and conferences, with substantial citation impact. His accolades include the IEE Prize, the Research.com Business and Management in China Leader Award, and a consistent top-10 ranking among business and management scientists in China (Research.com). He is listed among Stanford's top 2% most highly cited scientists globally and ranks in the top 0.05% worldwide in Information Management (ScholarGPS).
Professor Lee is a graduate of several prestigious universities in the UK, including Oxford University. He is qualified as a barrister-at-law in Hong Kong, England, and Wales, and a chartered engineer under the UK Engineering Council. He has served on the boards of main-board listed companies and top-level public and academic governance bodies in Hong Kong. Professor Lee is currently a council member of the Hong Kong Productivity Council and a member of the Process Review Committee of the Hong Kong Monetary Authority.
AI Ethics and Governance – Emerging Consensus and Future Challenges
Artificial Intelligence (AI) has experienced rapid advancements and adoption in recent years, particularly after the emergence of Generative AI (GAI) around 2022. AI is transforming business and society at a scale previously unheard of. At the same time, this transformation raises critical ethical concerns and governance challenges. The new and powerful possibilities enabled by AI require novel approaches to ethical guidance, given their far-reaching potential impact across all walks of life, both positively and negatively. AI ethics informs how AI may be governed (i.e., AI governance), which in turn should be an integral part of corporate governance for any responsible business.
Although there are diverse perspectives and approaches on AI ethics and the corresponding governance issues, some consensus is starting to emerge. This talk will review some of the emerging consensuses and significant areas of controversy, highlighting research directions that may help resolve them and advance both theory and practice in the field moving forward.
Keynote Speech II
Topic: “Responsible Artificial Intelligence in Higher Education:
A European Framework for Innovation, Disruption, and Governance”
Professor Dr Ralf Dillerup
Dean of Heilbronn University Business School
Chair of Heilbronn University Graduate School
Professor Dr Ralf Dillerup is Dean of the Heilbronn University Business School and Chair of the Graduate School at Heilbronn University. He also serves as Professor of Strategic Management and Program Director of the MBA in Global Entrepreneurship. Previously, he co-chaired the university board and has held several leadership and lecture roles within the university. He has held visiting professorships at institutions in the United States, Vietnam, and across Europe. His academic leadership is focused on advancing interdisciplinary business education, integrating technology, fostering innovation, and promoting global entrepreneurial thinking.
Before transitioning to academia, Professor Dillerup held several senior management positions in industry. At Robert Bosch's global heating division, he served in senior controlling and CFO roles. He also contributed to corporate strategy, purchasing, and logistics at the headquarters of Mercedes-Benz. His career began in production planning and sales at ASB Greenworld in Canada. These experiences provided him with deep, hands-on insight into global operations, strategy, and business process optimization.
Professor Dillerup earned his doctorate in business administration and mechanical engineering from the University of Stuttgart, where he also completed his undergraduate studies. During this time, he conducted research and taught in the areas of self-organizing systems and the application of technology in business contexts
Responsible Artificial Intelligence in Higher Education:
A European Framework for Innovation, Disruption, and Governance
Artificial Intelligence is rapidly transforming higher education—accelerating innovation while simultaneously disrupting long-established models of teaching, learning, assessment, and institutional governance. AI is enabling new forms of pedagogical innovation while simultaneously challenging established practices, institutional structures, and regulatory frameworks. This keynote presents a European perspective on Responsible AI in higher education, emphasizing the interplay between technological advancement, ethical accountability, and governance. It examines AI's dual capacity to enhance educational quality and efficiency, while also introducing disruptive effects related to academic integrity, equity, transparency, and trust. Drawing on the EU-funded project EUonAIR, the presentation highlights interim results from ongoing research and pilot initiatives, including emerging governance models, implementation guidelines, and interim project results from pilot initiatives across institutions. The keynote concludes by proposing strategic recommendations for aligning AI-enabled innovation with ethical principles, ensuring that adoption is both socially sustainable and educationally meaningful in an era of rapid technological change.
Panel Discussion I
Topic: “AI in Business Education: Bridging Challenges and Opportunities”
Professor Dr Ulrike Weingart
Professor for Ethics in Leadership and Management
Heilbronn University of Applied Sciences
Professor Dr Ulrike Weingart is Professor for Ethics in Leadership and Management, Heilbronn University of Applied Sciences. She holds an MBA from the University of Witten/Herdecke, Germany, and a PhD from the School of Philosophy, Theology and Religion at the University of Birmingham, UK. Her academic career began at the University of Birmingham (2000–2004), followed by a period of lecturing at the Graduate School of Philosophy and Religion at Assumption University in Thailand.
From 2011 to 2020, she worked for a subordinate authority of the German Federal Foreign Office, with professional postings in Moscow, Russia, and later in New Delhi, India. After returning to Germany, she served as Visiting Professor of General Management and Business Ethics at Heilbronn University in 2021 and has held a Professorship in Family Business and Ethics there since March 2024. She leads the Family Business Hub and is a member of the university's Ethics Committee. Her research focuses on business ethics, AI and ethics, and family enterprises. She is married and a mother of three children.
Panel Discussion I
Topic: “AI in Business Education: Bridging Challenges and Opportunities”
Ir Dr Kelvin Lo
Director for Technology and Infrastructure Development
Faculty of Education
The University of Hong Kong
Ir Dr Man Fung LO (Kelvin) is currently Director for Technology and Infrastructure Development and Senior Lecturer at the Faculty of Education, The University of Hong Kong. Internationally, he serves on the Alteryx SparkED Faculty Advisory Committee and the IFIP IP3 Global Industry Council, advancing data analytics and ICT professionalism. He is active in research and scholarly activities, serving as Associate Editor-in-Chief of the Journal of Information Technology Education: Research, and as Associate Editor for the Journal of Research in Innovative Teaching & Learning, IEEE Transactions on Technology and Society, and the International Journal of Artificial Intelligence in Business and Management. He is also dedicated to community service, serving as a reviewer for the scholarship programme of Phi Delta Kappa and for Kappa Delta Pi.
Panel Discussion I
Topic: “AI in Business Education: Bridging Challenges and Opportunities”
Mr Kevin Pereira
Managing Director
Financial Services
Blu Artificial Intelligence, Hong Kong
Kevin Pereira is currently a Managing Director at Blu Artificial Intelligence, a consulting firm that specializes in Artificial Intelligence. After growing up in Hong Kong, he started his career in Private Banking with Citi in New York. He then moved back to Hong Kong and joined Bank of New York Mellon's Asset Management business, where he helped to start a new group that specialized in products tailored to High Net Worth Individuals. After obtaining his MBA, Kevin worked at a technology startup in Myanmar that was building internet infrastructure. Kevin is also an Adjunct Associate Professor at HKUST teaching “AI in Marketing” and “Big Data in Finance”. At the HKU, he teaches “Artificial Intelligence for Business Leaders” for MBAs.
Kevin graduated with a BSc in Economics with concentrations in Finance, Management and Marketing from the Wharton School at the University of Pennsylvania. He also has an MBA from INSEAD.
Panel Discussion I
Topic: “AI in Business Education: Bridging Challenges and Opportunities”
Mr Daniel Nill
Perspective Professor for AI & Digitalisation in Business Management
Heilbronn University of Applied Sciences
Mr Daniel Nill is a digital expert specializing in digital sales, process optimization, and the application of artificial intelligence. As a Perspective Professor at Heilbronn University of Applied Sciences and a doctoral candidate at the Technical University of Munich, he combines academic expertise with practical experience. He is a sought-after speaker on topics such as innovation, entrepreneurship, and collaboration between government, industry, and academia. In his academic role, he regularly lectures on cutting-edge topics like Research Methods and AI Enablement, guiding students and professionals to develop practical skills for the digital age. He also organizes interactive workshops designed to bridge theory and application.
Panel Discussion I
Topic: “AI in Business Education: Bridging Challenges and Opportunities”
Professor David Ahlstrom
Chair Professor of Management and Associate Dean (Research)
Lee Shau Kee School of Business and Administration
Hong Kong Metropolitan University
Professor David Ahlstrom is an Associate Dean (Research) and a Chair Professor in the Lee Shau Kei School of Business and Administration, Hong Kong Metropolitan University. He received a PhD in Management and International Business from New York University after having worked in the data communications industry for several years. His research includes managing in Asia, innovation and entrepreneurship, decision-making, firm growth and economic history. He has published over 180 peer-reviewed publications, and was awarded the Clarivate (formerly Thomson-Reuters) Highly Cited Researcher Award, given to professor / researchers in the top 0.1% of all researchers in their field, for having a number of highly-ciited published papers over the previous ten-year period (awarded 3 years running: 2017, 2018, and 2019). He has also been in the Stanford University 'Top 2% Scientists Worldwide' in terms of career citations and academic performance, from 2021 to the present. And in 2012, Prof. Ahlstrom was nominated for The Economist magazine's First worldwide 'Business Professor of the Year' award. He is Emeritus Professor of The Chinese University of Hong Kong.
Panel Discussion II
Topic: “The Future of Work: Human–AI Co-Creation and Automation in the Digital Age”
Mr Leonard Chan, MH
Founder and CEO
tag.digital Limited
Leonard Chan, MH, is the founder and CEO of tag.digital Limited, with over 30 years of R&D experience in industrial automation, online advertising, and digital publishing. His projects have earned numerous accolades, including the Hong Kong ICT Awards and double Winner awards from the Asia Pacific ICT Alliance (APICTA).
Passionate about nurturing future talent, Mr Chan actively participates in mentorship programs and promotes STEAM education. He holds key public roles, including Founding Chairman of the Hong Kong Innovative Technology Development Association and Deputy Chairman of HKIRC. Committed to advancing Hong Kong's technology development, particularly in cybersecurity, he was awarded the Medal of Honour by the HKSAR Government in 2025.
Panel Discussion II
Topic: “The Future of Work: Human–AI Co-Creation and Automation in the Digital Age”
Dr Anthony Lai
Founder
VX Research Limited
Anthony Cheuk Tung Lai works at VX Research Limited on malware investigation, incident response, and offensive security testing. He began hacking after playing Chroot wargame and Beist CTF, reading 2600, and China hacker magazines. He has spent the last 20 years working in the risk and security areas of MNCs in the financial industry.
Anthony is a hobbyist bug hunter and creator of CTF challenges who hacks for fun and belief. In addition to VXCON, which he founded and chairs, he also spoke at Black Hat, DEFCON, Secuinside, AVTokyo, Hack In the Box, HITCON, and DFRWS.
He earned his doctorate from HKUST, where he also worked in the cybersecurity lab and focused on malware and vulnerability research. His credentials additionally include SANS GREM (Gold), GXPN, GCIH, and Offsec OSEE.
Panel Discussion II
Topic: “The Future of Work: Human–AI Co-Creation and Automation in the Digital Age”
Ms Karen Wong
Partner
PwC Hong Kong
Ms Karen Wong is a Partner in the Consulting practice of PwC Hong Kong. She has over 17 years of experience in financial services industry, specialising in data analytics and AI modelling, regulatory risk and capital change, and operational and resilience design. Recognised for end-to-end risk consulting and large-scale transformation initiatives across major commercial banks and insurance companies in Hong Kong and the broader APAC regions.
Karen is highly experienced in helping FIs to strengthen risk resilience, optimise capital efficiency and accelerate business transformations by leveraging emerging technologies, reengineering operating models and streamlining critical business processes. Karen is often invited to deliver speeches on evolving risk & regulatory topics, and was the editorial panel for the regulatory publications in relation to Banking with AI.
Karen holds a Master degree from the Chinese University of Hong Kong in Risk Management Science and a Bachelor degree from the Hong Kong University of Science and Technology in Finance and Information Systems. She is a Chartered Financial Analyst (CFA) and Certified Financial Risk Manager (FRM).
Panel Discussion II
Topic: “The Future of Work: Human–AI Co-Creation and Automation in the Digital Age”
Ms Cherilyn Hehl
Research Assistant in Entrepreneurship
Heilbronn University of Applied Sciences
Cherilyn Hehl is a Research Assistant in Entrepreneurship at Hochschule Heilbronn, Germany, with a multidisciplinary background in business administration, music, and education. Her work focuses on innovation, creativity, and emotional intelligence as key future skills in higher education and entrepreneurial contexts.
In her role as a tutor and facilitator, she designs and moderates interactive learning formats that connect academic theory with practical application, fostering interdisciplinary thinking and international collaboration. Alongside her academic career, she is a professional artist and founder in the creative industries, bringing extensive experience in storytelling, communication, and cross-cultural exchange.
Cherilyn's work is driven by the belief that innovation emerges at the intersection of technology, creativity, and human connection. She is particularly interested in the responsible and creative use of AI to empower individuals, enhance learning experiences, and support innovative business and marketing practices.
Panel Discussion II
Topic: “The Future of Work: Human–AI Co-Creation and Automation in the Digital Age”
Dr Bella Vongvisitsin
Assistant Professor in Hospitality and Tourism Management
Lee Shau Kee School of Business and Administration
Hong Kong Metropolitan University
Dr Bella Vongvisitsin is an Assistant Professor in Hospitality and Tourism Management at the Lee Shau Kee School of Business and Administration, Hong Kong Metropolitan University. She holds a PhD in Tourism Management from the Hong Kong Polytechnic University and is a Certified Hospitality Educator by the American Hotel and Lodging Educational Institute. Bella is a recognized scholar with widely cited publications in top-tier journals, related to travel tech start-ups, GenAI in tourism education, and diversity, equity, and inclusion.
Beyond academia, Bella has led transformative consultancy projects across Asia, working with prominent national organizations in the tourism sector. One of the relevant projects was a feasibility study for establishing a tourism tech subsidiary company of the Tourism Authority of Thailand. Additionally, she was the co-founder of Inclusive Tourism Asia, a travel tech startup shortlisted as a Top 8 Finalist by the Alibaba Entrepreneurs Fund, which champions accessible and inclusive travel experiences.
Hong Kong Metropolitan University
Heilbronn University Graduate School
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