ABSTRACT
This chapter argues that algorithms, machine learning and artificial intelligence (AI) have proliferated new forms of discrimination for gender and sexual minorities. We trace the ways in which new and emerging technologies have created nodes of vulnerability for queer and trans communities, drawing upon critical algorithm studies, in considering algorithms as cultural technologies. We explore how and where vulnerabilities around gender and sexuality materialise through AI, algorithms and machine learning by focusing on four distinct aspects of AI development: data collection, algorithm design, automated decisions and recommendations in AI systems and how these systems are deployed in the world. The chapter argues that focusing separately on these four facets of AI development can facilitate re-thinking not only the practices and objectives for gender, sexuality and technology, but also how research is performed in these areas.
