High-Risk AI Systems—Lie Detection Application
Integrating artificial intelligence into border control systems may help to strengthen security and make operations more efficient. For example, the emerging application of artificial intelligence for lie detection when inspecting passengers presents significant opportunities for future implementati...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/17/1/26 |
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| author | Konstantinos Kalodanis Panagiotis Rizomiliotis Georgios Feretzakis Charalampos Papapavlou Dimosthenis Anagnostopoulos |
| author_facet | Konstantinos Kalodanis Panagiotis Rizomiliotis Georgios Feretzakis Charalampos Papapavlou Dimosthenis Anagnostopoulos |
| author_sort | Konstantinos Kalodanis |
| collection | DOAJ |
| description | Integrating artificial intelligence into border control systems may help to strengthen security and make operations more efficient. For example, the emerging application of artificial intelligence for lie detection when inspecting passengers presents significant opportunities for future implementation. However, as it makes use of technology that is associated with artificial intelligence, the system is classified as high risk, in accordance with the EU AI Act and, therefore, must adhere to rigorous regulatory requirements to mitigate potential risks. This manuscript distinctly amalgamates the technical, ethical, and legal aspects, thereby offering an extensive examination of the AI-based lie detection systems utilized in border security. This academic paper is uniquely set apart from others because it undertakes a thorough investigation into the categorization of these emerging technologies in terms of the regulatory framework established by the EU AI Act, which classifies them as high risk. It further makes an assessment of practical case studies, including notable examples such as iBorderCtrl and AVATAR. This in-depth analysis seeks to emphasize not only the enormous challenges ahead for practitioners but also the progress made in this emerging field of study. Furthermore, it seeks to investigate threats, vulnerabilities, and privacy concerns associated with AI, while providing security controls to address difficulties related to lie detection. Finally, we propose a framework that encompasses the EU AI Act’s principles and serves as a foundation for future approaches and research projects. By analyzing current methodologies and considering future directions, the paper aims to provide a comprehensive understanding of the viability and consequences of deploying AI lie detection capabilities in border control. |
| format | Article |
| id | doaj-art-4b3c03f7e2ed46d88b745a145e9ba182 |
| institution | Kabale University |
| issn | 1999-5903 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj-art-4b3c03f7e2ed46d88b745a145e9ba1822025-01-24T13:33:36ZengMDPI AGFuture Internet1999-59032025-01-011712610.3390/fi17010026High-Risk AI Systems—Lie Detection ApplicationKonstantinos Kalodanis0Panagiotis Rizomiliotis1Georgios Feretzakis2Charalampos Papapavlou3Dimosthenis Anagnostopoulos4Department of Informatics & Telematics, Harokopio University of Athens, 17778 Athens, GreeceDepartment of Informatics & Telematics, Harokopio University of Athens, 17778 Athens, GreeceSchool of Science and Technology, Hellenic Open University, 26335 Patras, GreeceDepartment of Electrical & Computer Engineering, University of Patras, 26504 Patras, GreeceDepartment of Informatics & Telematics, Harokopio University of Athens, 17778 Athens, GreeceIntegrating artificial intelligence into border control systems may help to strengthen security and make operations more efficient. For example, the emerging application of artificial intelligence for lie detection when inspecting passengers presents significant opportunities for future implementation. However, as it makes use of technology that is associated with artificial intelligence, the system is classified as high risk, in accordance with the EU AI Act and, therefore, must adhere to rigorous regulatory requirements to mitigate potential risks. This manuscript distinctly amalgamates the technical, ethical, and legal aspects, thereby offering an extensive examination of the AI-based lie detection systems utilized in border security. This academic paper is uniquely set apart from others because it undertakes a thorough investigation into the categorization of these emerging technologies in terms of the regulatory framework established by the EU AI Act, which classifies them as high risk. It further makes an assessment of practical case studies, including notable examples such as iBorderCtrl and AVATAR. This in-depth analysis seeks to emphasize not only the enormous challenges ahead for practitioners but also the progress made in this emerging field of study. Furthermore, it seeks to investigate threats, vulnerabilities, and privacy concerns associated with AI, while providing security controls to address difficulties related to lie detection. Finally, we propose a framework that encompasses the EU AI Act’s principles and serves as a foundation for future approaches and research projects. By analyzing current methodologies and considering future directions, the paper aims to provide a comprehensive understanding of the viability and consequences of deploying AI lie detection capabilities in border control.https://www.mdpi.com/1999-5903/17/1/26EU AI Acthigh-risk AI systemslie detectionborder control |
| spellingShingle | Konstantinos Kalodanis Panagiotis Rizomiliotis Georgios Feretzakis Charalampos Papapavlou Dimosthenis Anagnostopoulos High-Risk AI Systems—Lie Detection Application Future Internet EU AI Act high-risk AI systems lie detection border control |
| title | High-Risk AI Systems—Lie Detection Application |
| title_full | High-Risk AI Systems—Lie Detection Application |
| title_fullStr | High-Risk AI Systems—Lie Detection Application |
| title_full_unstemmed | High-Risk AI Systems—Lie Detection Application |
| title_short | High-Risk AI Systems—Lie Detection Application |
| title_sort | high risk ai systems lie detection application |
| topic | EU AI Act high-risk AI systems lie detection border control |
| url | https://www.mdpi.com/1999-5903/17/1/26 |
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