Dr Benedetta Catanzariti is a British Academy Postdoctoral Fellow in Science, Technology and Innovation Studies at the University of Edinburgh. Her work explores the social, historical, and political dimensions of data and AI, with particular attention to the ways computing cultures shape (and are shaped by) knowledge and society. Her current project, Technology in Translation, explores the contexts of development of healthcare AI, focusing on the tensions between, on the one hand, ambitions to scale up AI models across medical specialties and tasks and, on the other hand, practices and experiences that resist datafication and operationalisation (e.g. contextual knowledge of patients’ clinical history, social dimensions of health and illness, and the material dimensions of diagnostics and medical records). She is involved in several national and international research collaborations investigating the epistemic dimensions of data and AI and the material political economy of large computing infrastructures. She is a core member of the AI Ethics & Society network, and a Postdoctoral Affiliate in the Centre for Technomoral Futures at the Edinburgh Futures Institute. She earned her PhD in Science, Technology and Innovation Studies from the University of Edinburgh in 2023, focusing on the classification practices underpinning emotion recognition systems for mental healthcare. Her dissertation has received an SPS Outstanding Dissertation Award (2023) and the AsSIST-UK Andrew Webster PhD Prize (2024). Prior to her fellowship, Benedetta was a DCMS Policy Fellow under the AHRC Bridging Responsible AI Divides (BRAID) programme, and a Teaching Fellow in Ethical Data Futures (Edinburgh Futures Institute).