Algoritmische Rechtvaardigheid

Algorithmic bias can lead to harmful forms of algorithmic discrimination. In this article, I argue that technology does not exist in a vacuum and is always part of power relations. I therefore criticize technological fixes that reducesocial problems to a technical solution. Dominant solutions like ‘debiasing’,while important, avoid questions about deep-rooted injustices. They ‘accept’and work with and within the frames of existing social (power) structures.Justice requires considering the structural dimensions of inequality. I draw attention to Langdon Winner’s call to ask whether a technology is ‘just’rather than approaching the issue of algorithmic discrimination from a solutionist angle of optimization and functionality. I propose that we draw inspiration from the work of philosophers who approach justicefrom a structural or systemic perspective. This results in a philosophical approach that stretches the concept of ‘discrimination’ and exposes therelationships between inequalities. Moreover, it questions the structures and boundaries in which the technology is embedded. Finally, I criticize the current hype around AI that distracts us from the fact that we have had existential problems with AI for a long time and that these problems are deeply intertwined with (the history of) our social power relations.