Artificial Intelligence Applied to Whistleblowing Channels
Artificial Intelligence Applied to Whistleblowing Channels

Author(s): Andre Alves, Rui Mansidao
Subject(s): Social Sciences
Published by: Udruženje ekonomista i menadžera Balkana
Keywords: Whistleblowing channels; Artificial intelligence; Interoperability in public sector
Summary/Abstract: The present study addresses the implications of using AI – Artificial Intelligence – and iAP – Public Administration Interoperability – in whistleblowing 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.

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