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Lina Rahm

Publications and source records attributed to Lina Rahm.

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Policies frozen in silicon: using WPR to expose the politics of problem-solution configurations in technical artifacts

Design is often characterized as an act of problem-solving. This is a perspective that, while pervasive, risks reducing complex socio-technical conditions to easily fixable issues. This paper critiques the ideology of "design as problem-solving", highlighting its culmination in technological solutionism, where societal and human challenges are reframed as technical problems awaiting technical answers. Drawing on critiques and the recognition of "wicked problems", we argue that design must also be understood as a process of problem-framing, emphasizing the interpretive work involved in defining what counts as a problem and why. To advance this analytical perspective, we propose applying the What's the Problem Represented to be? (WPR) approach from critical policy studies to design and technology. By treating artifacts as materialized problem representations, WPR allows for the systematic unpacking of the ideological, cultural, and political assumptions encoded in technological forms. This analytical lens can reveal hidden problematisations within artifacts, foster reflexive design practice, and empirically challenge techno-solutionism. Ultimately, integrating WPR into design research enriches both design theory and philosophy of technology by offering a method to interrogate how technologies shape, and are shaped by, the questions they claim to answer.

cs.HC

On the importance of AI research beyond disciplines

As the impact of AI on various scientific fields is increasing, it is crucial to embrace interdisciplinary knowledge to understand the impact of technology on society. The goal is to foster a research environment beyond disciplines that values diversity and creates, critiques and develops new conceptual and theoretical frameworks. Even though research beyond disciplines is essential for understanding complex societal issues and creating positive impact it is notoriously difficult to evaluate and is often not recognized by current academic career progression. The motivation for this paper is to engage in broad discussion across disciplines and identify guiding principles fir AI research beyond disciplines in a structured and inclusive way, revealing new perspectives and contributing to societal and human wellbeing and sustainability.

cs.CY