Gender, bias and the performativity of computational artifacts
Numerous case studies in fields such as science and technology studies, media studies or (critical) computer science have shown that computational artifacts can be gendered, racialized or otherwise biased by design. In my contribution I will illuminate some of the mechanisms in the development of technology that foster such biases, e.g. stereotypes or the I-methodology. Moreover, I will draw attention to the concept of posthuman performativity. With its particular focus on the agency of non-human actors, this notion extends the framework of understanding biased artifacts to rather unintended, but nevertheless problematic, effects of design processes.