TY - JOUR
T1 - From big data epistemology to AI politics
T2 - rescuing the public dimension over data-driven technologies
AU - Calzati, Stefano
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - AI
KW - Big data
KW - E-participation
KW - Epistemology
KW - EU
KW - Public
UR - http://www.scopus.com/inward/record.url?scp=85162948835&partnerID=8YFLogxK
U2 - 10.1108/JICES-12-2022-0108
DO - 10.1108/JICES-12-2022-0108
M3 - Article
AN - SCOPUS:85162948835
SN - 1477-996X
VL - 21
SP - 358
EP - 372
JO - Journal of Information, Communication and Ethics in Society
JF - Journal of Information, Communication and Ethics in Society
IS - 3
ER -