Titlebook: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society; 20th IFIP WG 6.11 Co Denis Dennehy,Anastasia Griva,Matti M?nty

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Responsible Machine Learning Pilot Test Projects: A Medical Coding Case Studynd mitigate project risks and systems risks, before implementing new ML systems at scale? We report on an exploratory case study of a U.S.-based healthcare provider organization’s ML pilot project, undertaken when a software vendor proposed an automated solution that would combine natural language p

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Always Trust the Advice of AI in Difficulties? Perceptions Around AI in Decision Makingific data. Borrowing from the social sciences and emerging sub-body of mathematics research literature and theories around algorithmic knowledge and value realization leads to the formation of perceptions around the confidence of allowing AI to be at the heart of any domain’s decision-making. This a

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Big Data Analytics Affordances for Social Innovation: A Theoretical Frameworkstitutional voids and supports enable or hinder the actualisation of those perceived affordances. In doing so, we contribute to identifying the missing link needed to understand the social innovation process in relation to BDA. The framework paves the ground towards understanding the institutionaliz

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Ethics and AI Issues: Old Container with New Wine?k advanced in 1986 by Richard Mason suggests that the categories of problems remains much as they have over the decades, with the exception of a new set of societal issues. Within these categories, however, the increase in capabilities of computing generally and AI in particular, shift some affordan

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Governing Artificial Intelligence and Algorithmic Decision Making: Human Rights and Beyondn also promoted as guidelines for Artificial Intelligence and Automatic Decision-making governance, or as engineering principles that may be turned into design requirements. Since literature so far engages only partially with the relevance and suitability of the extension of human rights in the real

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