Annual Showcase

AI imaginaries and their contemporary socio-technical aspects are the focus of this research project. The moral commitments that underlie utopian and dystopian visions with the development of AI are revealed.

A deeper understanding of how health data comes into value is needed to persuasively defend any alternative data governance models. This research project traces the flows of value(s) during the health data creation process. 

Urban explorations are carried out by making and exchanging recipes. This design experiment combines spatial drifting with the recursive practices of recipe-making to facilitate more-than-human commoning.

Developing machine learning systems requires multidisciplinary teams working across the ML pipeline. In this workshop, participants are invited to act out a fictional ML design scenario and reflect on how values are embedded and lost in industry practices.

Digital platforms rely heavily on harvesting end-user data to provide personalized content. This master thesis offers a design vision of digital consent practices and disclosure interactions as a process rather than a moment.

We all have unconscious tendencies to categorise and discriminate. These biases are perpetuated by structures of power baked into the data we feed to algorithms. This master thesis offers a collection of queer ambiguous toys, each illustrating a different kind of reflexive practice and designer-AI collaboration.

We cannot decolonize our digital futures without confronting the ghosts from our pasts. This research project extends the temporality of the current speculative model to allow for and actively make space for multiplicity in AI design practices.

Ongoing and experimental speculative readings of Terms of Service (ToS) serve the purpose to reveal what it represents. By doing so, this research project takes a reflective and transformative alternative route.

By expanding design anthropology through the lens of social learning theories and developing novel methods for an ethnographic study of algorithms, this research project contributes to the more-than-human turn in HCI research and to decentralizing the study of algorithmic impact.

By translating ethical guidelines into actual system requirements, this research project focuses on overcoming forms of harmful algorithmic behavior and explores computational strategies for putting ethics into practice in current Machine Learning workflows.

By collaborating with experts from machine learning, robotics, nursing studies, and healthcare, this prototeam has designed methods to investigate and envision future interactions between sensing technologies, care receivers, and the care network around them, from the standpoint of the affected.

By cooperating with people to investigate what is valuable for them to be translated into data from a non-extractive and more communal perspective, this research project supports the co-creation of data models based on local sets that members collect themselves with participatory and speculative DIY sensors.

Profit-driven services and technologies can be problematic when limiting the ability to interpret reality and perhaps reconcile human and more-than-human worlds. An investigation into how small and urban farmers understand data and how they re-interpret data through practices is carried out.

Using high-level, abstract guidelines in practice can be difficult to apply to specific clinical AI projects. A workshop format has been designed and tested at a clinical AI company to help teams apply guidelines to their project.

Contestation Café is a speculative concept based on research into the shared values of contestation and repair. Through the act of writing a manifesto for contestation, the space has manifested itself in the present and is waiting only for the fixers and public to arrive.

Mutant in the Mirror is an auto-theoretical experiment centered on queerness. It seeks to problematize notions of normativity and naturalization reproduced in and through artificially intelligent systems. It can be read as a gesture of resistance, a means to rethink encoded meaning beyond binary hegemonic, heteronormative classification and categorization.

Data Dérive invites participants to wander in the city while interfacing with urban surveillance systems, probing their underlying social relations, and developing new modes of embodied resistance and subversion.

Having human agency and dignity under the spotlight requires robust measures of governance, security, and accountability. This research project explores how participatory design can contribute to envisioning democratic models of governance within data-driven systems.

The use of sensing technologies raises complex tensions and issues in the city. In this workshop, participants engage with auto-ethnographic and fictional modes of design inquiry to explore and prototype commons-based, open, and distributed modes of sensing in the wild.