The Human-Artificial Intelligence Lab

Lab Directors:

Mission

We study comparative intelligence in humans and artificial systems to develop evidence-based frameworks for effective human–AI collaboration.

Our on-going projects: 

Large-scale human vs. artificial intelligence comparisons in areas such as creativity and logical reasoning.

Measurement rigor: task design, scoring schemes, and evaluation standards that stay fair across humans and models.

Develop theories and frameworks for better human-artificial intelligence collaboration at the individual and organizational level. 

Latest Article:
A large-scale comparison of divergent creativity in humans and large language models

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.

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.