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

Download statistics - Document (COUNTER):

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:

Repository version

To cite the version in the repository, please use this identifier:

Selected time period:


Sum total of downloads: 319

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

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 114 35.74%
2 image of flag of United States United States 50 15.67%
3 image of flag of Netherlands Netherlands 43 13.48%
4 image of flag of United Kingdom United Kingdom 14 4.39%
5 image of flag of China China 10 3.13%
6 image of flag of Italy Italy 9 2.82%
7 image of flag of No geo information available No geo information available 6 1.88%
8 image of flag of Ireland Ireland 6 1.88%
9 image of flag of Bulgaria Bulgaria 6 1.88%
10 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 5 1.57%
    other countries 56 17.55%

Further download figures and rankings:


Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository