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

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dc.identifier.uri http://dx.doi.org/10.15488/9791
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/9848
dc.contributor.author Krügel, Tina ger
dc.contributor.author Schütze, Benjamin ger
dc.contributor.author Stoklas, Jonathan ger
dc.date.accessioned 2020-04-24T06:57:11Z
dc.date.available 2020-04-24T06:57:11Z
dc.date.issued 2018
dc.identifier.citation Krügel, T.; Schütze, B.; Stoklas, J.: Legal, ethical and social impact on the use of computational intelligence based systems for land border crossings. In: 2018 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ : IEEE, 2018. DOI: https://doi.org/10.1109/IJCNN.2018.8489349 ger
dc.description.abstract 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. ger
dc.description.sponsorship EC/H2020/700626/EU ger
dc.language.iso eng ger
dc.publisher Piscataway, NJ : IEEE
dc.relation info:eu-repo/grantAgreement/EC/H2020/700626/EU ger
dc.relation.ispartof 2018 International Joint Conference on Neural Networks (IJCNN) ger
dc.rights Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. ger
dc.subject Datenschutz ger
dc.subject Grenzschutz ger
dc.subject KI ger
dc.subject Rechtsinformatik ger
dc.subject.ddc 340 | Recht ger
dc.subject.ddc 004 | Informatik ger
dc.title Legal, ethical and social impact on the use of computational intelligence based systems for land border crossings eng
dc.type ConferenceObject ger
dc.type Text ger
dc.relation.isbn 978-1-5090-6014-6
dc.relation.doi 10.1109/IJCNN.2018.8489349
dc.description.version acceptedVersion ger
tib.accessRights frei zug�nglich ger


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