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Browsing by Subject "algorithms"

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  • Kivi-Koskinen, Anni Sofia (2023)
    The rapid advancement of AI technologies has sparked inquiries across various legal domains, including intellectual property (IP) law. While the impact of AI on copyright and patents has received considerable attention, the influence of AI on EU trademark law is also anticipated. The World Intellectual Property Organization (WIPO) has acknowledged this impact cautiously, recognizing that AI may affect certain aspects of trademark 1law. One significant domain where AI will exert its influence on trademarks is online retail platforms. These platforms have already implemented various AI applications to provide consumers with highly personalized product recommendations. Moreover, AI-driven shopping experiences, facilitated by virtual assistants like Amazon's Alexa, have redefined the role of consumers in the purchasing process, diverging from traditional shopping practices. This thesis aims to explore how the emergence of AI technologies will impact fundamental doctrines of trademark law, including the functions of trademarks, the concept of the average consumer, and the assessment of trademark infringement. Additionally, it seeks to identify the types of AI applications deployed by e-commerce platforms and advocate for necessary actions that EU legislators must undertake to address these implications within trademark law. The findings of this thesis indicate that while many prominent doctrines of EU trademark law will remain relevant amidst the rise of AI technologies, some require re-examination in the context of advanced AI applications. The transformative nature of AI necessitates a comprehensive assessment and potential recalibration of these doctrines to ensure their efficacy in regulating AI-driven environments.
  • Higuera Ornelas, Adriana (2022)
    AI-driven innovation offers numerous possibilities for the public sector. The potential of digital advancements is already palpable within the tax administrations. Automation is efficiently used for tax assessments, to perform compliance management, to enhance revenue collection and to provide services to taxpayers. A digital transformation encompassing Big Data, advanced analytics and ADM systems promises significant benefits and efficiencies for the tax administrations. It is essential that public organizations meet the necessary legal framework and safeguards to expand the use of these automated systems since its sources of information, technical capacity, and extent of application have evolved. Using Finland as a case study, this research assesses the use of automated decision-making systems within the public sector. Constitutional and administrative legal principles serve as guidelines and constraints for the administrative activity and decision-making. This study examines the lawfulness of the deployment of ADM systems in the field of taxation by looking its compatibility with long-standing legal principles. Focus if given to the principles of the rule of law, due process, good administration, access to information, official accountability, confidentiality, and privacy. Numerous public concerns have been raised regarding the use of ADM systems in the public sector. Scholars, academics and journalists have justifiably pointed out the risks and limitations of ADM systems. Despite the legal challenges posed by automation, this research suggests that ADM systems used to pursue administrative objectives can fit with long-standing legal principles with appropriate regulation, design and human capacity.