News.
Better Technology, Worse Motivation: GenAI and the Mediocrity Trap
Authors : Yvonne Jie Chen, Jie Gong, Jin Li and Zibo Zhao | While generative AI (GenAI) promises productive efficiency, it can paradoxically lead to…
Dynamic Selection in Algorithmic Decision-making
Author: Jin Li, Ye Luo and Xiaowei Zhang | In a contextual multi-armed bandit model, a novel bias (self-fulfilling bias) arises because the endogeneity of…
Seesaw Experimentation
Author: Jin Li, Ye Luo and Xiaowei Zhang | We show how a firm’s performance can decline despite consistently implementing successful A/B test innovations—a phenomenon…
AI-Driven Organizational Innovation.
CAMO is the premier research centre exploring how AI transforms organizations, management practices, and the nature of work. As AI capabilities approach and exceed human performance across domains, we study how organizations must evolve to harness these technologies effectively.
Located in Hong Kong, we serve as the vital bridge where East meets West — combining the rigorous theoretical foundations of world-leading scholars with unprecedented access to the rapid AI transformation in Asia.
Partners
Latest Events.
2026 Mar｜2nd Asian Conference on Organizational Economics
The 2nd Asian Conference on Organizational Economics will take place at the Hong Kong University Business School from March 12-14, 2026.
Luohan Academy Frontier Dialogue Explores “Intelligent Organizations and Meta-Knowledge Workers”
Luohan Academy hosted a Frontier Dialogue titled “Intelligent Organizations and Meta-Knowledge Workers”, bringing together over 90 participants from academia, industry, and…
Research Labs.
Deloitte-HKU Lab for Organizational
Transformation
The success of organizations depends on its ability to attract the right people, motivate effective action, and coordinate efforts. Artificial intelligence is transforming all three of these areas, requiring organizations to adapt their structures for the new challenges and opportunities.
Our lab focuses on guiding this essential transformation. Our work identifies effective organizational response and examine their interaction with markets, norms, and institutions. Through research and collaboration with industry practitioners, we assess the current state of AI adoption in firms, identify common pitfalls, and develop frameworks that help leaders structure and address these critical challenges.
Lab for AI-Agents in Business and Economics
Our mission is to pioneer AI-driven solutions for business challenges by developing multi-agent systems and domain-specific AI architectures, while guiding organizations through ethical, scalable, and transformative AI adoption. We focus on developing platforms for AI agents and multi-agent architecture for business and management, designing AI agents for specific business applications with deep domain knowledge, and studying the economic impact of AI transformation on human behavior, business and organizations.
AI Implementation (AI2) Lab
The AI Implementation (AI2) Lab is dedicated to turning AI and business research into real-world AI adoption. We collaborate with organizations to identify frictions, develop deployment strategies, and measure impact of AI implementation. Our work focuses on helping firms adopt and scale AI, designing business models for the AI era, and incubating AI-related innovations through experimentation and prototyping.
Lab for the Future of Work
and Well-being
Our mission is to advance understanding of how generative AI is transforming labor markets, leisure, and overall wellbeing, with a particular focus on China. We are committed to conducting rigorous, data-driven, and causally robust research to generate actionable insights. Distinctively, our people-centered approach places human wellbeing at the core of our analysis, going beyond productivity and profitability to explore how technological change can foster better jobs and lives.
Connect with us
We’d love to hear from you. We will get back to you as soon as possible.
General Enquiry
If you’ve been referred to us or have met our team in person, we encourage you to complete the short questionnaire below. This helps us better understand your needs and connect you more quickly with the most suitable contacts and solutions. Submissions from referrals and direct connections will be given priority in our review process.
Contact Info
Social Media
Copyright © HKU Centre for AI, Management Organization 2025. All rights reserved.