Predictive Analytics and the Collective Dimensions of Data Protection

Law, Innovation and Technology - forthcoming in 16.1

31 Pages Posted: 25 Nov 2023

See all articles by Rainer Mühlhoff

Rainer Mühlhoff

University of Osnabrück

Hannah Ruschemeier

FernUniversität in Hagen

Date Written: October 26, 2023

Abstract

This paper takes an interdisciplinary approach, combining legal studies, ethics and technical insights to shed light on the complex issues surrounding the regulation of predictive analytics. We argue that the individualised concept of regulation, shaped by the dogma of fundamental rights, is unable to adequately capture the implications of predictive analytics. We show that predictive analytics is a problem of collective privacy and informal power asymmetries, and conceptualise the form of data power at work in predictive analytics as “prediction power”. The unregulated prediction power of certain actors poses social risks, especially if this form of information power asymmetry is not normatively represented. The article analyses this in the light of recent case law of the European Court of Justice and new legislation at the EU level. To address these challenges, we develop the concept of "predictive privacy" as a protected good based on collective interest.

Keywords: Big Data, Ethics, DSA, GDPR, Collective Data Protection, Privacy, Group Privacy, AI

Suggested Citation

Mühlhoff, Rainer and Ruschemeier, Hannah, Predictive Analytics and the Collective Dimensions of Data Protection (October 26, 2023). Law, Innovation and Technology - forthcoming in 16.1, Available at SSRN: https://ssrn.com/abstract=4614268

Rainer Mühlhoff

University of Osnabrück ( email )

Germany

Hannah Ruschemeier (Contact Author)

FernUniversität in Hagen ( email )

Universitätsstrasse
Hagen, 58084
Germany

HOME PAGE: http://www.fernuni-hagen.de/prof-ruschemeier/en/

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