Weekly Top Picks :
Latest Release.
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 lower-quality work. We conducted an experiment with professional illustrators and found that AI assistance flattens the quality curve—it accelerates initial gains but sharply diminishes the returns on sustained effort. Faced…
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 the data influences the choices of decisions, affecting the distribution of future data to be collected and analyzed. Our proposed IV-based algorithms correct this bias, obtaining true parameter values and…
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 we term “seesaw experimentation.” An improvement in the measured primary dimension can create negative externalities in unmeasured secondary dimensions that exceed the gains. Using a multivariate normal distribution model, we…
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
Organizations succeed by attracting talent, motivating action, and coordinating efforts—areas AI is transforming, demanding structural adaptation. Our lab guides this shift, identifying effective responses and their interplay with markets, norms, and institutions. Through research and industry collaboration, we assess AI adoption, spotlight pitfalls, and craft frameworks for leaders.
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
We advance understanding of generative AI’s transformation of China’s labor markets, leisure, and wellbeing through rigorous, data-driven, causally robust research generating actionable insights. Our people-centered approach prioritizes human wellbeing, going beyond productivity and profitability to foster better jobs and lives.
The Human-Artificial Intelligence Lab
We study comparative intelligence in humans and artificial systems to develop evidence-based frameworks for effective human–AI collaboration.
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.