Switch to: References

Add citations

You must login to add citations.
  1. Why Digital Assistants Need Your Information to Support Your Autonomy.Jan-Hendrik Heinrichs - 2021 - Philosophy and Technology 34 (4):1687-1705.
    This article investigates how human life is conceptualized in the design and use of digital assistants and how this conceptualization feeds back into the life really lived. It suggests that a specific way of conceptualizing human life — namely as a set of tasks to be optimized — is responsible for the much-criticized information hunger of these digital assistants. The data collection of digital assistants raises not just several issues of privacy, but also the potential for improving people’s degree of (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • In Search of a Problem: Mapping Controversies over NHS (England) Patient Data with Digital Tools.Liz McFall & David Moats - 2019 - Science, Technology, and Human Values 44 (3):478-513.
    There is a long history in science and technology studies of tracking problematic objects, such as controversies, matters of concern, and issues, using various digital tools. But what happens when public problems do not play out in these familiar ways? In this paper, we will think through the methodological implications of studying “problems” in relation to recent events surrounding the sharing of patient data in the National Health Service in the United Kingdom. When a data sharing agreement called care.data was (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • “Unable to Determine”: Limits to Metrical Governance in Agricultural Supply chains.Susanne Freidberg - 2020 - Science, Technology, and Human Values 45 (4):738-760.
    Metrics have long served as tools for governing at a distance. In the food industry, major manufacturers have embraced metrics as tools to govern the sustainability of the farms producing their commodity raw materials. This metrical turn has been influenced but also complicated by agricultural datafication, that is, the increasing quantities of data generated on and about farms. Despite the sheer abundance of data that companies might use to measure and drive improvement in on-farm sustainability, they have struggled to collect (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation