Publication
AI Ethics Guidelines: Is regulation a value of trust?
| Summary: | This 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. |
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| Main Authors: | Almeida, Ana Patrícia Poças Pires Bulha |
| Subject: | Artificial Intelligence Ethic Regulation Transparency Accountability Trust Guidelines Governance Algorithm Responsible SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 10 - Reduced inequalities SDG 16 - Peace, justice and strong institutions SDG 17 - Partnerships for the goals |
| Year: | 2025 |
| Country: | Portugal |
| Document type: | master thesis |
| Access type: | open access |
| Associated institution: | Universidade Nova de Lisboa |
| Language: | English |
| Origin: | Repositório Institucional da UNL |
| Summary: | This 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. |
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