Artificial intelligence (AI) and other related technologies have rapidly advanced and are being increasingly integrated into various domains, ranging from healthcare, scientific research and law to government, finance and education. As AI-driven systems become more prevalent, questions surrounding liability and accountability arise. This dissertation aims to investigate the liability implications and the legal ramifications related to the delegation of human decision-making and action to AI-driven systems, analyzing the existing legal frameworks and in particular the upcoming EU proposal for the regulation of AI liability, identifying key stakeholders, and proposing recommendations to address liability concerns.
The exploration of AI begins with a comprehensive definition and an analysis of its defining characteristics and continues with the examination of the current legal frameworks governing civil liability for damages and consider their applicability to cases involving AI technology. An initial consideration involves determining whether autonomous AI systems should be granted legal entity status. If not, the next step is to identify the parties responsible for compensating victims for damages resulting from AI behavior. Additionally, we must evaluate how the unique features of AI may affect the suitability of existing liability regimes and assess whether these regimes are sufficient to address AI-related damage. Finally, we need to consider whether the establishment of new liability rules specific to AI is warranted.
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