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Germany's Autobahn Toll for Heavy Cargo Vehicles After Four Years: Experiences and Perspectives
(2009)
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Algorithms have a profound and growing influence on our lives, but partially remain a black box to us. Keeping the risks that arise from rule-based and learning systems in check is a challenging task for both: society and the legal system. The essay undertakes the challenge to examine existing and adaptable legal solutions and to complement them with further proposals. It designs a regulatory model in four steps along the time axis: preventive regulation instruments, accompanying risk management, ex post facto protection and the vision of an algorithmic responsibility code. Together, they form a legislative blueprint to further regulate applications of artificial intelligence.
Social media platforms are increasingly used in the public administration context. Against this background, this study not only derives and tests the impact of determinants that explain citizens’ intention to use social media channels of public services, but also examines to what extent their intention to use influences their intention to recommend these services to others (word of mouth). An expanded technology acceptance model (TAM) was tested based on data from a survey of 164 citizens. The model provides insight into the creation of social media applications of public authorities, for example, by providing four determinants that significantly influence citizens’ intention to use Facebook pages of public institutions as well as their intention to recommend the page to other citizens.
