Addressing risks in artificial intelligence act and in future quantum computing legislation

Abstract

Artificial intelligence (AI) and quantum computing (QC) are two trans-formative technologies with the potential to reshape global public policies. Although distinct, both face similar regulatory challenges, particularly in data protection, national stability, and market power. Major corporations and geopolitical competition drive their development, making effective regulation essential. In response to this need, this thesis explores the intersection of artificial intelligence and quantum computing, focusing on their similarities and associated risks. The research aims to determine how the EU Artificial Intelligence Act (AIA) addresses various risks and to apply these insights to future EU regulation of quantum computing. To achieve this, a state-of-the-art literature review was conducted, examining the current development and potential challenges of both technologies. The findings aim to provide a foundation for developing effective quantum computing regulations.