Details
| Original language | English |
|---|---|
| Title of host publication | 2018 International Joint Conference on Neural Networks (IJCNN) |
| ISBN (electronic) | 978-1-5090-6014-6 |
| Publication status | Published - 10 Oct 2018 |
| Event | 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) - Rio de Janeiro, Brazil Duration: 8 Jul 2018 → 13 Jul 2018 |
Publication series
| Name | Proceedings of the International Joint Conference on Neural Networks |
|---|---|
| ISSN (electronic) | 2161-4407 |
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.
Keywords
- Law, Ethics, Fundamental Rights, Data Protection, Privacy, Computational Intelligence, Border Control
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2018 International Joint Conference on Neural Networks (IJCNN). 2018. 8489349 (Proceedings of the International Joint Conference on Neural Networks).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research
, Brazil, 8 Jul 2018. https://doi.org/10.1109/IJCNN.2018.8489349
}
TY - GEN
T1 - Legal, ethical and social impact on the use of computational intelligence based systems for land border crossings
AU - Cornelius-Krügel, Tina
AU - Schütze, Benjamin
AU - Stoklas, Jonathan
N1 - Funding information: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 700626. The authors would like to thank the iBorderCtrl consortium members for their feedback in understanding the technical backgrounds and therefore supporting the legal and ethical research of this technology.
PY - 2018/10/10
Y1 - 2018/10/10
N2 - 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.
AB - 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.
KW - Law
KW - Ethics
KW - Fundamental Rights
KW - Data Protection
KW - Privacy
KW - Computational Intelligence
KW - Border Control
UR - http://www.scopus.com/inward/record.url?scp=85056534249&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2018.8489349
DO - 10.1109/IJCNN.2018.8489349
M3 - Conference contribution
SN - 978-1-5090-6015-3
T3 - Proceedings of the International Joint Conference on Neural Networks
BT - 2018 International Joint Conference on Neural Networks (IJCNN)
T2 - 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)<br/>
Y2 - 8 July 2018 through 13 July 2018
ER -