On the Possibility of Normative Contestation of Automated Data-Driven Decisions
Emre Bayamlıoğlu, Irina Baraluic, Liisa Janssens and Mireille Hildebrandt (eds), Being Profiled: Cogitas Ergo Sum. 10 Years of Profiling the European Citizen, 2018: Amsterdam University Press,
4 Pages Posted: 10 Jun 2019
Date Written: 2018
Abstract
This provocation intends to identify the possible requirements of a transparency model which aims to decompose and analyse automated decision-making systems not by the mechanisms of their operation but rather by the normativity embedded in their behaviour/action. For the effective contestation of automated decisions, essential components of a Rule-based Model (RbM) are briefly described as: i) the data as ‘decisional input’, ii) the ‘normativities’ contained by the system both at the inference and decision (rule- making) level, iii) the context and further implications of the decision, iv) the accountable actors.
Keywords: algorithmic transparency, data-driven decision-making, GDPR Article 22, techno-regulation
JEL Classification: K40
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