AI@Work

AI@Work Research Group

Artificial intelligence (AI), is finding its way into organizations in both planned and unplanned ways. Not just manual labour but also tasks such as collaboration, coordination, management and even creativity are increasingly supported or even replaced by traditional and generative AI tools. This has many unpredictable and often unintended consequences on work practices and organizations. In the AI@Work group we study these changes as they unfold. By embedding our researchers in organizations for many months, we make sense of changes as they are happening.

The AI@Work group is a community of researchers, part of the KIN Center for Digital Innovation, who study these consequences. They use an ethnographic research approach: embedded into an organization, researchers study the impact of a newly introduced technology for many months and sometimes years as "digital anthropologists". Their research spans diverse organizational contexts, from radiologists utilizing AI for diagnostics to top sport coaches analyzing biometric data from athletes' wearables, and human resource managers employing algorithms to hire the right candidates. Headed by Marleen Huysman, the group interacts intensely with the practice world beyond academia, advising stakeholders from government to multinational companies. Thanks to the work of AI@Work, a generation of “reflective digital practitioners” is emerging: managers who can see through hype and make their own independent decisions, users who can collaborate with designers to help build sociotechnical systems, and designers who understand the social context for which they design technological tools.

Research Papers

Collaborative AI

Practical tips for AI development

Managing AI WISEly Program

Interested in managing AI effectively in your organization?

Check out our new EE program

Research approach: embedded ethnographic research

At AI@Work we study the process of designing, implementing and using AI tools in the workplace by means of ethnographic research, which has proven an effective way to study technology in action and do justice to how it entwines with organizing. Ethnographic research is exceptionally well-suited for studying emerging intelligent technologies. The inductive and exploratory characteristic of ethnographic research makes it suitable to study phenomena in the making and settings that are emergent and not yet stable nor coherent. In fact, ethnographers are advised to enter the field with as few assumptions as possible and develop insights that are grounded in empirical observations. Also, ethnography often entails longitudinal field research which is fitting for studying processes and relations.

Educational opportunities for researchers

KIN Summer School

Theoretical Perspective on Digital Innovation course

The , co-organized with the Rotterdam School of Management (Erasmus University), serves as a bridge between researchers and practitioners. Every two years we bring together scholars, business leaders, policymakers, trade unionists, and other relevant stakeholders enthusiastic about shaping the future of work with AI and digital technologies.

02 Apr 2025

First cohort completes Managing AI WISEly Program

19 Dec 2024

New book explores AI implementation in radiology

26 Jul 2024

Grant for research on GenAI's impact on professionals’ work and organizations

31 Oct 2024

Reshaping Work Conference 2024

04 Jul 2024

Fostering top-quality research: insights from the KIN Summer School 2024

News overview

Research Papers

Managing AI WISEly Program

Interested in managing AI effectively in your organization?

Check out our new EE program

AI@Work Research Group

The AI@Work research group transcends the boundaries between technology and organizational practice. It comprises engineers trained in the sociology of work and social scientists with hands-on training in AI techniques.

prof. dr. Marleen Huysman

Professor of Knowledge and Organization