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Cited by 305

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AI and Big Data: A blueprint for a human rights, social and ethical impact assessment

Open access
Mantelero, Alessandro·2018·Computer Law & Security Review
DOI 10.1016/j.clsr.2018.05.017
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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.

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Metadata

Authors
Mantelero, A.
Venue
Computer Law & Security Review
Publisher
Elsevier BV
Published
2018-08
Volume
34
Issue
4
Pages
754-772
ISSN
2212-473X (ISSN-L)
DOI
10.1016/j.clsr.2018.05.017
OpenAlex
W2884074583
Cited by
305
References
0
FWCI
137.92
Type
journal article
Language
en
Open access
hybrid
Licence
Funders
Horizon 2020 (732027)

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