Artificial Intelligence Applied to Whistleblowing Channels

André Alves- Escola Superior de Tecnologia de Setúbal, Campus do IPS, Estefanilha, 2914-508 Setúbal, Portugal
Rui Mansidão- Escola Superior de Tecnologia de Setúbal, Campus do IPS, Estefanilha, 2914-508 Setúbal, Portugal

Abstract: The present study addresses the implications of using AI – Artifi- cial Intelligence – and iAP – Public Administration Interoperability – in whis- tleblowing channels, to improve the effectiveness of these tools for reporting irregularities in organizations. To this end, a brief literature review was conducted on whistleblowing channels, AI, and iAP. Subsequently, the aim was to assess the current level of citizens’ knowledge about AI and iAP, as well as their levels of trust and perceived use- fulness regarding these technologies. Citizens show an average positive level of knowledge about AI and iAP, with no significant differences between these variables. Similarly, citizens consider these technologies to be trustworthy and useful for application in whistleblowing channels, which constitutes an important starting point for their widespread implementation.

10th International Scientific Conference ERAZ 2024 – Conference Proceedings: KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT,  hybrid – online, virtually and in person, Lisbon, Portugal, June 6, 2024

ERAZ Conference Proceedings published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia

ERAZ conference partners: Faculty of Logistics, University of Maribor, Maribor (Slovenia); University of National and World Economy – UNWE, Sofia (Bulgaria); Center for Political Research and Documentation (KEPET), Research Laboratory of the Department of Political Science of University of Crete (Greece); Institute of Public Finance – Zagreb (Croatia); Faculty of Tourism and Hospitality Ohrid, University of St. Kliment Ohridski from Bitola (North Macedonia)

ERAZ Conference 2024 Conference Proceedings: ISBN 978-86-80194-86-8, ISSN 2683-5568,

DOI: https://doi.org/10.31410/ERAZ.2024

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission. 

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