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
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. | |
License of this version: | Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. |
Document Type: | ConferenceObject |
Publishing status: | acceptedVersion |
Issue Date: | 2018 |
Appears in Collections: | Juristische Fakultät |
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Germany | 114 | 35.74% |
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United States | 50 | 15.67% |
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Netherlands | 43 | 13.48% |
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United Kingdom | 14 | 4.39% |
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China | 10 | 3.13% |
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Italy | 9 | 2.82% |
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Bulgaria | 6 | 1.88% |
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Iran, Islamic Republic of | 5 | 1.57% |
other countries | 56 | 17.55% |
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