Legal, ethical and social impact on the use of computational intelligence based systems for land border crossings

This paper provides an overview on the most relevant legal, ethical and social implications arising from the use of computational intelligence based systems for land border crossings. Based on the automatic deception detection system (ADDS) developed in the iBorderCtrl project, issues such as the peculiarities of the interaction of humans with machines, profiling, automated decision-making and the risk of false positives can be identified and demonstrate how computational intelligence based systems can challenge fundamental legal and ethical principles. These include in particular the right to privacy, human dignity and the principle of non-discrimination. By further analysing the various issues, this paper seeks to provide some thoughts on remedies and safeguards which should be considered when developing computational intelligence based systems.© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.EC/H2020/700626/E

A data protection framework for transeuropean genetic research projects

The paper proposes a data protection framework for trans-European medical research projects, which is based on a technical security infrastructure as well as on organizational measures and contractual obligations. It mainly relies on pseudonymization, an internal Data Protection Authority and on a Trusted Third Party. The Outcome is an environment that combines both good research conditions and in extensive protection of patients privacy

Correction to: An ethico-legal framework for social data science (International Journal of Data Science and Analytics, (2021), 11, 4, (377-390), 10.1007/s41060-020-00211-7)

The article ‘‘An ethico-legal framework for social data science’’, written by Nikolaus Forgó, Stefanie Hänold, Jeroen van den Hoven, Tina Krügel, Iryna Lishchuk, René Mahieu, Anna Monreale, Dino Pedreschi, Francesca Pratesi, David van Putten originally published electronically on the publisher’s internet portal (currently SpringerLink) on April 10, 2021 without open access. The copyright of the article changed t

An ethico-legal framework for social data science

This paper presents a framework for research infrastructures enabling ethically sensitive and legally compliant data science in Europe. Our goal is to describe how to design and implement an open platform for big data social science, including, in particular, personal data. To this end, we discuss a number of infrastructural, organizational and methodological principles to be developed for a concrete implementation. These include not only systematically tools and methodologies that effectively enable both the empirical evaluation of the privacy risk and data transformations by using privacy-preserving approaches, but also the development of training materials (a massive open online course) and organizational instruments based on legal and ethical principles. This paper provides, by way of example, the implementation that was adopted within the context of the SoBigData Research Infrastructure.Correction + DOI 10.1007/s41060-021-00261-5Ethics & Philosophy of Technolog

Correction to: An ethico-legal framework for social data science (International Journal of Data Science and Analytics, (2021), 11, 4, (377-390), 10.1007/s41060-020-00211-7)

The article ‘‘An ethico-legal framework for social data science’’, written by Nikolaus Forgó, Stefanie Hänold, Jeroen van den Hoven, Tina Krügel, Iryna Lishchuk, René Mahieu, Anna Monreale, Dino Pedreschi, Francesca Pratesi, David van Putten originally published electronically on the publisher’s internet portal (currently SpringerLink) on April 10, 2021 without open access. The copyright of the article changed toCorrection DOI 10.1007/s41060-020-00211-7Ethics & Philosophy of Technolog