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AI@Work Research Group

AI@Work

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
Bridging researchers & practitioners

Discover how we connect researchers and practitioners

Managing AI beyond the hype

 Turn AI initiatives into effective value for your organizations

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.

The bridge between researchers and practitioners

AI@Work transforms academic research into tools and strategies organizations can use today. The research group provides platforms for collaboration with professionals, runs workshops in the organizations it studies to reflect on findings together, and has developed practical recommendations for the responsible development and use of AI in organizational settings.

AI@Work for practitioners

Latest Research Insights

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 -

prof. dr. Anastasia V. Sergeeva

Professor of Work, Technology and Organization

dr. Ella Hafermalz

Associate Professor

dr. Mohammad Rezazade Mehrizi

Associate Professor

dr. Maura Soekijad

Associate Professor

dr. Reza Mousavi Baygi

Assistant Professor

dr. Stella Kyratzi

Postdoctoral Researcher

dr. Tamara Thuis

Assistant Professor

dr. Stella Pachidi

dr. Maria Carmen Punzi

Postdoctoral Researcher -

dr. Karthik Rapaka

Postdoctoral Researcher -

dr. Tomislav Karacic

Lorna Anne Downie

PhD Candidate

Melissa Sexton

PhD candidate

Ferdinand Mol

PhD candidate

Sybil Liu

PhD candidate

Saba Jalali

PhD candidate

Julia Baraban

PhD candidate

dr. Bomi Kim

Marjolein Bruggeling

Parttime PhD Candidate

Ines Baer

Parttime PhD Candidate

dr. Jana Retkowsky

Postdoctoral Researcher

dr. Elmira van den Broek

Assistant Professor at Stockholm School of Economics -

dr. Lauren Waardenburg

Are you looking for a way to broaden your (organization's) perspective on digital innovation?

Please contact us

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