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Join us for a special Masterclass given by Dr. Diletta Huyskes (postdoctoral researcher, University of Milan). Registration required and refreshments follow at the same location.
Event details of Masterclass | From Bicycles to Bureaucracies: Practicing a Contemporary Sociotechnical Analysis of AI
Date
18 May 2026
Time
15:00 -17:30
Location
Oudemanhuispoort
Room
C1.23

About the Masterclass

From everyday artifacts to critical algorithms, this Masterclass will illustrate how social and cultural values are embedded in technology. Drawing on classical socio-technical theory and ethnographic research on the automation of public services conducted in the Netherlands and Italy, this Masterclass will reveal the cultural, institutional, and ethical dimensions of modern technologies and how they can be uncovered through the rediscovery of social constructivism and its methodological lens.

How to Apply

This Masterclass is open to RMA and MA students, PhD candidates and interested colleagues. 

Credits: 1 ECTS

For questions and to apply please send an email to gdc@uva.nl by the morning of May 18. 

About the Speaker

Diletta Huyskes is a Postdoctoral Researcher in the project “Towards a Decolonized Artificial Intelligence” at the Centre for Philosophy and Technology (PHILTECH), Department of Philosophy, University of Milan. She is also an Affiliated Researcher at the Data School, Utrecht University. She holds a PhD in Sociology, where she focused on how public institutions in different cultural contexts approach automation, with an emphasis on human actors rather than algorithms. Her interests range from the the relationship between social exclusion and processes of datafication or algorithmization, the social dimension of automation bias and automation complacency, the governance of artificial intelligence and how different cultures can shape different artifacts. She is also the co-founder of Immanence, a company supporting public and private organizations in AI governance.

Oudemanhuispoort

Room C1.23
Oudemanhuispoort 4-6
1012 CN Amsterdam