Advancements in artificial intelligence (AI) technology are rapidly transforming global governance structures and institutions, including key bodies responsible for promoting and protecting human rights and putting AI as one of the key topics on the international agenda. However, the implications of AI for the effectiveness of international human rights mechanisms remain unclear since the development of AI regulations is still in its initial phase. This thesis aims to investigate the role of AI in shaping global governance and its potential impact on the efficacy of human rights institutions worldwide. The thesis will explore international efforts towards human rights-centric AI governance and current ethical and human rights considerations. This thesis framework can be intended as a starting point in recognizing the importance of international cooperation in AI governance and its significance for the protection of human rights.
Artificial intelligence governance in international relations: a human rights perspective
STANISAVLJEVIC, KATARINA
2023/2024
Abstract
Advancements in artificial intelligence (AI) technology are rapidly transforming global governance structures and institutions, including key bodies responsible for promoting and protecting human rights and putting AI as one of the key topics on the international agenda. However, the implications of AI for the effectiveness of international human rights mechanisms remain unclear since the development of AI regulations is still in its initial phase. This thesis aims to investigate the role of AI in shaping global governance and its potential impact on the efficacy of human rights institutions worldwide. The thesis will explore international efforts towards human rights-centric AI governance and current ethical and human rights considerations. This thesis framework can be intended as a starting point in recognizing the importance of international cooperation in AI governance and its significance for the protection of human rights.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/67931