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• W4382073092 abstract "Purpose The purpose of this paper is to explore the epistemological tensions embedded within big data and data-driven technologies to advance a socio-political reconsideration of the public dimension in the assessment of their implementation. Design/methodology/approach This paper builds upon (and revisits) the European Union’s (EU) normative understanding of artificial intelligence (AI) and data-driven technologies, blending reflections rooted in philosophy of technology with issues of democratic participation in tech-related matters. Findings This paper proposes the conceptual design of sectorial and/or local-level e-participation platforms to ignite an ongoing discussion – involving experts, private actors, as well as cognizant citizens – over the implementation of data-driven technologies, to avoid siloed, tech-solutionist decisions. Originality/value This paper inscribes the EU’s normative approach to AI and data-driven technologies, as well as critical work on the governance of these technologies, into a broader political dimension, suggesting a way to democratically and epistocratically opening up the decisional processes over the development and implementation of these technologies and turn such processes into a systemic civic involvement." @default.
• W4382073092 created "2023-06-27" @default.
• W4382073092 creator A5036375848 @default.
• W4382073092 date "2023-06-27" @default.
• W4382073092 modified "2023-09-23" @default.
• W4382073092 title "From big data epistemology to AI politics: rescuing the public dimension over data-driven technologies" @default.
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• W4382073092 doi "https://doi.org/10.1108/jices-12-2022-0108" @default.
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