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tandfonline.com – Suing the algorithm: the mundanization of automated decision-making in public services through litigation

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT Automated decision-making using algorithmic systems is increasingly being introduced in the public sector constituting one important pillar in the emergence of the digital welfare state. Promising more efficiency and fairer decisions in public services, repetitive tasks of processing applications and records are, for example, delegated to fairly simple rule-based algorithms. Taking this growing trend of delegating decisions to algorithmic systems in Sweden as a starting point, the article discusses two litigation cases about fully automated decision-making in the Swedish municipality of Trelleborg. Based on analyzing court rulings, exchanges with the Parliamentary Ombudsmen and in-depth interviews, the article shows how different, partly conflicting definitions of what automated decision-making in social services is and does, are negotiated between the municipality,… Continue Reading

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tandfonline.com – Fad or future? Automated analysis of financial text and its implications for corporate reporting

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. This paper describes the current state of natural language processing (NLP) as it applies to corporate reporting. We document dramatic increases in the quantity of verbal content that is an integral part of company reporting packages, as well as the evolution of text analytic approaches being employed to analyse this content. We provide intuitive descriptions of the leading analytic approaches applied in the academic accounting and finance literatures. This discussion includes key word searches and counts, attribute dictionaries, naïve… Continue Reading