Data-Driven Decision-Making and The 'Rule of Law'

48 Pages Posted: 18 Dec 2018 Last revised: 21 Dec 2018

See all articles by Emre Bayamlıoğlu

Emre Bayamlıoğlu

Tilburg University - Tilburg Institute for Law, Technology, and Society (TILT)

Ronald E. Leenes

Tilburg Institute for Law, Technology, and Society; Tilburg Law School; Tilburg University

Date Written: June 1, 2018

Abstract

The paper intends to identify certain “rule of law” implications of Big Data analysis from a techno-regulatory perspective — namely, (i) the collapse of the normative enterprise, (ii) the erosion of moral enterprise and (iii) replacing of causative basis with correlative calculations. Although these implications are not completely specific to Big Data space but rather of general nature regarding techno-regulation, each of these rule of law implications become aggravated, and extend into deeper dimensions when techno-regulation is implemented through data-driven systems.

Keywords: algorithmic due process, rule of law, techno-regulation

Suggested Citation

Bayamlıoğlu, Emre and Leenes, Ronald E., Data-Driven Decision-Making and The 'Rule of Law' (June 1, 2018). Tilburg Law School Research Paper. Available at SSRN: https://ssrn.com/abstract=3189064 or http://dx.doi.org/10.2139/ssrn.3189064

Emre Bayamlıoğlu (Contact Author)

Tilburg University - Tilburg Institute for Law, Technology, and Society (TILT) ( email )

P.O.Box 90153
Prof. Cobbenhagenlaan 221
Tilburg, 5037
Netherlands

Ronald E. Leenes

Tilburg Institute for Law, Technology, and Society

NL-5000 LE Tilburg
Netherlands

Tilburg Law School ( email )

Tilburg, 5000 LE
Netherlands

Tilburg University ( email )

P.O. Box 90153
Tilburg, DC 5000 LE
Netherlands

Register to save articles to
your library

Register

Paper statistics

Downloads
67
rank
329,681
Abstract Views
341
PlumX Metrics