Datafication, Classification, and the Non-Neutrality of Big Data and AI
Events

Datafication, Classification, and the Non-Neutrality of Big Data and AI

DECEMBER 12, 2025

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Speaker:  Stefano Canali

December 12, 2025 | 2:30 pm
Politecnico di Milano 25.1.2 Room (Bld. 5)
Via U.B. Secondo, 3

Contact:  Prof. Francesco Pierri

Abstract

On December 12, 2025, at 2:30 pm the seminar on "Datafication, Classification, and the Non-Neutrality of Big Data and AI" will take place in Politecnico di Milano 25.1.2 Room (Building 5, Emilio Massa).

Big data and artificial intelligence are clearly and increasingly everywhere and the tools of web and data science have moved from their original disciplinary backgrounds into more and more domains and increasingly in the hands of the public. In this lecture I will take a step back and look at the processes that have led to this raise in the the volume, velocity, and variety of data, introducing the concept of datafication as a way of making sense of the fact that these processes are not simply technological, but also social and political. On this basis I will discuss the grounding of artificial intelligence systems on datafication and present a framing of these systems as classification machines that make up worlds as much as they analyse them. These should lead us against seeing big data and artificial intelligence systems as neutral technologies and point to their political status and embedding as socio-technical systems.

The event can be also be followed online on Webex.

Short Bio

Stefano Canali is a philosophy researcher, currently junior assistant professor (RTDA) at the Department of Electronics, Information and Bioengineering of Politecnico di Milano. He primarily works in philosophy of science and medicine, with a focus on the role of data, digital technologies, and machine learning in knowledge production and their ethical and social implications. He is part of the META unit of humanities and social sciences at Politecnico and one of the coordinators of PhilHead, an interdisciplinary network on philosophy and medicine.