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Browsing by Subject "Data Protection Law"

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  • Ebrahimzadeh, kimia (2023)
    This master's thesis investigates the role of competition law in addressing the issue of excessive data collection and its implications in the context of big data. With the rapid shift towards a data-driven economy, the significance of data protection has grown exponentially, prompting an examination of its interconnectedness with competition policy. Although consumers have access to free products and services, the absence of monetary costs raises concerns about the need for appropriate action and regulation. The thesis argues that a competition policy solely focused on prices may overlook potential welfare harms linked to non-price factors like privacy and consumer choice. Moreover, it contends that excessive data collection can be deemed anticompetitive under EU competition law. The main research objectives of this thesis revolve around exploring whether excessive data collection can be classified as exploitative abuse under competition law and, if so, how it can be addressed. The findings reveal existing inadequacies in competition law and propose potential avenues for competition policy to combat excessive data collection effectively. The suggested approach aims to extend competition law's intervention beyond a narrow focus on prices and integrate a framework based on fair trading conditions and privacy considerations. The topicality and relevance of this research are evident in the current digital economy landscape. By providing a comprehensive examination of competition policy's implications in the era of big data, with a particular emphasis on personal data, this thesis contributes valuable insights and policy considerations to ongoing discussions. Notably, it goes beyond previous articles by encompassing various theories of harm and privacy as quality parameter. Overall, this thesis enriches the understanding of competition law's role in managing excessive data collection, safeguarding consumer welfare, and promoting fair practices in the digital age.
  • Bhardwaj, Shivam (2020)
    The banking and financial sector has often been synonymous with established names, with some having centuries old presence. In the recent past these incumbents have been experiencing a consequential disruption by new entrants and rapidly changing consumer demands. These disruptions to the status quo have been characterised by a shift towards adoption of technology and artificial intelligence particularly in the service and products offered to the end customers. The changing business climate in the financial sector has risen many convoluted questions for the regulators. These complications cover a vast set of issues – from the concerns relating to the privacy of data of the end users to the increasing vulnerability of the financial market, to unproportionally increased compliance requirements for new entrants, all form part of the mesh of questions that have arisen in the wake of new services and operations being designed with the aid and assistance of artificial intelligence, machine learning and big data analytics. It is in this background that this Thesis seeks to explore the trajectory of the development of the legal landscape for regulating artificial intelligence – both in general and specifically in the financial and banking sector, particularly in the European Union. During the analysis, existing legal enactments, such as the General Data Protection Regulation, have been scrutinised and certain observations have been made regarding the areas that still remain unregulated or open to debate under the laws as it stands today. In the same vein, an attempt has been made to explore the emerging discussion on a dedicated legal regime for artificial intelligence in the European Union, and those observations have been viewed from the perspective of the financial sector, thereby creating thematic underpinnings that ought to form part of any legal instrument aiming to optimally regulate technology in the financial sector. To concretise the actual application of such a legal instrument, a European Union member state has been identified and the evolution of the regulatory regime in the financial sector has been discussed with the said member states’ financial supervisory authority, thus highlighting the crucial role of the law making and enactment bodies in creating and sustaining a technologically innovative financial and banking sector. The themes recognised in this Thesis could be the building blocks upon which the future legal discourse on artificial intelligence and the financial sector could be structured.