Switch to: References

Add citations

You must login to add citations.
  1. “Your friendly AI assistant”: the anthropomorphic self-representations of ChatGPT and its implications for imagining AI.Karin van Es & Dennis Nguyen - forthcoming - AI and Society:1-13.
    This study analyzes how ChatGPT portrays and describes itself, revealing misleading myths about AI technologies, specifically conversational agents based on large language models. This analysis allows for critical reflection on the potential harm these misconceptions may pose for public understanding of AI and related technologies. While previous research has explored AI discourses and representations more generally, few studies focus specifically on AI chatbots. To narrow this research gap, an experimental-qualitative investigation into auto-generated AI representations based on prompting was conducted. Over (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Data justice in education: Toward a research agenda.Luci Pangrazio, Glenn Auld, Julianne Lynch, Carly Sawatzki, Gavin Duffy, Shelley Hannigan & Jo O’Mara - forthcoming - Educational Philosophy and Theory.
    Educational institutions increasingly rely on digital platforms to deliver content and learning, monitor attendance, communicate with stakeholders, and evaluate institutional performance. Despite the efficiency and accessibility gains they offer, digital platforms are powered by personal data which, through a process of datafication, can be used to track, monitor, and profile staff and students. The insights drawn from this data can be used to shape educational and professional futures. This article examines how datafication has become a social justice issue in education, (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • From data politics to the contentious politics of data.Stefania Milan & Davide Beraldo - 2019 - Big Data and Society 6 (2).
    This article approaches the paradigm shift of datafication from the perspective of civil society. Looking at how individuals and groups engage with datafication, it complements the notion of “data politics” by exploring what we call the “contentious politics of data”. By contentious politics of data we indicate the bottom-up, transformative initiatives interfering with and/or hijacking dominant processes of datafication, contesting existing power relations or re-appropriating data practices and infrastructure for purposes distinct from the intended. Said contentious politics of data is (...)
    Download  
     
    Export citation  
     
    Bookmark   5 citations  
  • From hostile worlds to multiple spheres: towards a normative pragmatics of justice for the Googlization of health.Tamar Sharon - 2021 - Medicine, Health Care and Philosophy 24 (3):315-327.
    The datafication and digitalization of health and medicine has engendered a proliferation of new collaborations between public health institutions and data corporations like Google, Apple, Microsoft and Amazon. Critical perspectives on these new partnerships tend to frame them as an instance of market transgressions by tech giants into the sphere of health and medicine, in line with a “hostile worlds” doctrine that upholds that the borders between market and non-market spheres should be carefully policed. This article seeks to outline the (...)
    Download  
     
    Export citation  
     
    Bookmark   9 citations  
  • In search of the citizen in the datafication of public administration.Lisa Reutter & Heather Broomfield - 2022 - Big Data and Society 9 (1).
    The administrative reform of the datafied public administration places great emphasis on the classification, control, and prediction of citizen behavior and therefore has the potential to significantly impact citizen–state relations. There is a growing body of literature on data-oriented activism which aims to resist and counteract existing harmful data practices. However, little is known about the processes, policies, and political-economic structures that make datafication possible. There is a distinct research gap on situated and context-specific empirical research, which critically interrogates the (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • Public perceptions of good data management: Findings from a UK-based survey.Rhianne Jones, Robin Steedman, Helen Kennedy & Todd Hartman - 2020 - Big Data and Society 7 (1).
    Low levels of public trust in data practices have led to growing calls for changes to data-driven systems, and in the EU, the General Data Protection Regulation provides a legal motivation for such changes. Data management is a vital component of data-driven systems, but what constitutes ‘good’ data management is not straightforward. Academic attention is turning to the question of what ‘good data’ might look like more generally, but public views are absent from these debates. This paper addresses this gap, (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations