Education Research Current Organisation and Cooperation NL
Login as
Prospective student Student Employee
Bachelor Master VU for Professionals
Exchange programme VU Amsterdam Summer School Honours programme VU-NT2 Semester in Amsterdam
PhD at VU Amsterdam Research highlights Prizes and distinctions
Research institutes Our scientists Research Impact Support Portal Creating impact
News Events calendar Energy in transition
Israël and Palestinian regions Women at the top Culture on campus
Practical matters Mission and core values Entrepreneurship on VU Campus
Organisation Partnerships Alumni University Library Working at VU Amsterdam
Sorry! De informatie die je zoekt, is enkel beschikbaar in het Engels.
This programme is saved in My Study Choice.
Something went wrong with processing the request.
Something went wrong with processing the request.

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 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

The bridge between researchers and practitioners

The Reshaping Work Conference, 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. 

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

dr. Ella Hafermalz

Associate Professor

Ella Hafermalz

dr. Mohammad Rezazade Mehrizi

Associate Professor

MOHAMMAD REZAZADE MEHRIZI

dr. Anastasia V. Sergeeva

Associate Professor

ANASTASIA SERGEEVA

dr. Anne-Sophie Mayer

Assistant professor

dr. Wendy Günther

Assistant Professor

Wendy Günther

dr. Reza Mousavi Baygi

Assistant Professor

dr. Jana Retkowsky

Postdoctoral Researcher

Mario Sosa

PhD Candidate

Tomislav Karacic

PhD Candidate

Lorna Anne Downie

PhD Candidate

Melissa Sexton

PhD candidate

Ferdinand Mol

PhD candidate

David Mei

PhD candidate

Sybil Liu

PhD candidate

Bomi Kim

PhD Candidate

BOMI KIM

Marjolein Bruggeling

Parttime PhD Candidate

Ines Baer

Parttime PhD Candidate

Tamara Thuis

PhD Candidate at Rotterdam School of Management (RSM) Erasmus University Rotterda

dr. Stella Pachidi

dr. Elmira van den Broek

Assistant Professor at Stockholm School of Economics

Elmiea van den Broek

dr. Lauren Waardenburg

LAUREN WAARDENBURG

Julia Baraban

PhD candidate

Saba Jalali

PhD candidate

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

Please contact us

Quick links

Homepage Culture on campus VU Sports Centre Dashboard

Study

Academic calendar Study guide Timetable Canvas

Featured

VUfonds VU Magazine Ad Valvas

About VU

Contact us Working at VU Amsterdam Faculties Divisions
Privacy Disclaimer Veiligheid Webcolofon Cookies Webarchief

Copyright © 2024 - Vrije Universiteit Amsterdam