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  • The Client and Authority Proceedings in the Digital Era
    74-101
    Views:
    492

    The study examines the digital transformation of Hungarian administrative procedure and the advance of automation. Based on statistical data, the study highlights that in connection with digital public administration procedures, the importance of customer-focused services appears as the standard of digital public administration. Digitalization is dominated by electronic contact options, online information and submission of electronic requests, rather than complete automation of administrative procedures. The study focuses on digital authority procedures from the point of view of how this manifests itself primarily for the client: how to satisfy the need for information, how to contact the authorities and how to initiate the procedure. In addition to the legal bases, this part primarily focuses on the possibilities. After that, the consequences of digital solutions (automation) for making substantive decisions from the customer's point of view are discussed; this part of the study therefore concentrates more on the normative side of the processes and finally analyzes this. As a result, it states that automatic decision-making is mainly used in case of registrative acts based on official records and decisions embodied in decision-type documents, but there are already examples of the automation of the decision-making mechanism in connection with the production of facts. Although more complex automation is just spreading its wings, in connection with the rapid technical development and innovations of recent years, the legal system must keep up with digitalization and not give in to it.

  • Risks of Artificial Intelligence-Based Decision Support and Decision-Making Systems in Executive-Level Decision-Making in Companies: A Literature Review
    152-177
    Views:
    512

    The study examines the risks associated with artificial intelligence (AI) based decision-making and decision-support systems in the decision-making processes of company executives, as well as small and medium-sized enterprises. Due to global trends and digital advancements, company management increasingly faces complex decisions, which AI-based decision-making and decision-support systems may well be suited to support. However, this carries several risks, and the study aims to identify the legal, ethical, and business risks associated with the use of such AI systems, with a particular focus on the decisions made by company executives. The analysis is based on a literature review, which will ultimately be compared with survey responses found in the AI Index Reports published annually by Stanford University.