Damásio, Bruno Miguel PintoMendonça, Sandro Miguel FerreiraAlmeida, Ana Patrícia Poças Pires Bulha2025-11-072025-11-072025-10-28http://hdl.handle.net/10362/190279Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and ManagementThis research investigates the ethical challenges associated with Artificial Intelligence (AI), focusing on the role of regulation as a potential enabler of trust. It addresses the central research question: Can regulation be considered a value of trust in AI? Based on a comparative analysis of existing AI ethical guidelines and empirical findings from experts, this study investigated which legal frameworks support ethical principles guidelines. The research adopts a mixedmethod approach, combining bibliometric analysis, literature review, and normative evaluation. Findings suggest that regulation not only reinforces ethical compliance but also serves as a stabilizing mechanism that fosters legitimacy and confidence in AI systems. This study clarifies the connection between ethics, regulation, and trust, on AI systems, by identifying key ethical values most aligned with current regulatory mechanisms.engArtificial IntelligenceEthicRegulationTransparencyAccountabilityTrustGuidelinesGovernanceAlgorithmResponsibleSDG 4 - Quality educationSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructureSDG 10 - Reduced inequalitiesSDG 16 - Peace, justice and strong institutionsSDG 17 - Partnerships for the goalsmaster thesis204070856