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Future Internet
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14 May 2025

Correction: Kalodanis et al. High-Risk AI Systems—Lie Detection Application. Future Internet 2025, 17, 26

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1
Department of Informatics & Telematics, Harokopio University of Athens, 17778 Athens, Greece
2
School of Science and Technology, Hellenic Open University, 26335 Patras, Greece
3
Department of Electrical & Computer Engineering, University of Patras, 26504 Patras, Greece
*
Author to whom correspondence should be addressed.
In the original publication [], the authors identified that references [38,41] had become inaccessible. As a result, the authors replaced them with the following new references:
38.
O’Shea, J.; Crockett, K.; Khan, W.; Kindynis, P.; Antoniades, A.; Boultadakis, G. Intelligent Deception Detection through Machine Based Interviewing. In Proceedings of the International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, 8–13 July 2018; IEEE: Piscataway, NJ, USA, 2018. ISSN 2161-4407. https://doi.org/10.1109/IJCNN.2018.8489392.
41.
Yildirim, S.; Chimeumanu, M.S.; Rana, A.Z. The influence of micro-expressions on deception detection. Multimed. Tools Appl. 2023, 82, 29115–29133.
Due to these changes, some content of Section 4.1. has been revised as stated below:
The sentence:
“Using a virtual border interview, it analyzed micro-expressions on a traveler’s face to assess the truthfulness of their answers, claiming an accuracy rate of approximately 76% during controlled trials [38].”
has been updated to:
“Using a virtual border interview, it analyzed micro-expressions on a traveler’s face to assess the truthfulness of their answers, claiming an accuracy rate of approximately 75% during controlled trials [38].”
Additionally, a citation for [38] has been added after the phrase “national watchlists”.
Another sentence:
“A failure analysis revealed that the AI-based lie detection system had a high false-positive rate, incorrectly flagging innocent travelers as deceptive in about 27% of cases [41].”
has been updated to:
“A failure analysis revealed that the AI-based lie detection system had a high false-positive rate, incorrectly flagging innocent travelers as deceptive in about 24.45% of cases [37].”
Finally, citation [41] has been added after the sentence ending with “behaviors may vary greatly”.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Kalodanis, K.; Rizomiliotis, P.; Feretzakis, G.; Papapavlou, C.; Anagnostopoulos, D. High-Risk AI Systems—Lie Detection Application. Future Internet 2025, 17, 26. [Google Scholar] [CrossRef]
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