AI and Big Data: A Blueprint for a Human Rights, Social and Ethical Impact Assessment

(2018) 34(4) Computer Law & Security Review 754-772

35 Pages Posted: 17 Aug 2018

See all articles by Alessandro Mantelero

Alessandro Mantelero

Polytechnic University of Turin - Department of Management and Production Engineering

Date Written: May 12, 2018

Abstract

The use of algorithms in modern data processing techniques, as well as data-intensive technological trends, suggests the adoption of a broader view of the data protection impact assessment. This will force data controllers to go beyond the traditional focus on data quality and security, and consider the impact of data processing on fundamental rights and collective social and ethical values. Building on studies of the collective dimension of data protection, this article sets out to embed this new perspective in an assessment model centred on human rights (Human Rights, Ethical and Social Impact Assessment-HRESIA). This self-assessment model intends to overcome the limitations of the existing assessment models, which are either too closely focused on data processing or have an extent and granularity that make them too complicated to evaluate the consequences of a given use of data. In terms of architecture, the HRESIA has two main elements: a self-assessment questionnaire and an ad hoc expert committee. As a blueprint, this contribution focuses mainly on the nature of the proposed model, its architecture and its challenges; a more detailed description of the model and the content of the questionnaire will be discussed in a future publication drawing on the ongoing research.

Keywords: Data Protection, Impact Assessment, Data Protection Impact Assessment, Human Rights, Human Rights Impact Assessment, Ethical Impact Assessment, Social Impact Assessment, General Data Protection Regulation

JEL Classification: K1, K2, K13, K19

Suggested Citation

Mantelero, Alessandro, AI and Big Data: A Blueprint for a Human Rights, Social and Ethical Impact Assessment (May 12, 2018). (2018) 34(4) Computer Law & Security Review 754-772 . Available at SSRN: https://ssrn.com/abstract=3225749

Alessandro Mantelero (Contact Author)

Polytechnic University of Turin - Department of Management and Production Engineering ( email )

Corso Duca degli Abruzzi, 24
Torino, 10129
Italy

HOME PAGE: http://staff.polito.it/alessandro.mantelero/

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