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  1. AI at work: understanding its uses and consequences on work activities and organization in radiology.Tamari Gamkrelidze, Moustafa Zouinar & Flore Barcellini - forthcoming - AI and Society:1-19.
    The progressive dissemination of artificial intelligence (AI) systems in work settings raises numerous questions and concerns regarding their consequences, whether positive or negative, on work activities and organizations. This paper presents an empirical study that was designed to identify and analyze these consequences in radiology. This study focuses on two AI systems: a voice recognition dictation system for radiological reports and a system for detecting fractures on X-rays images. Based on a qualitative analysis of field observations of work activities and (...)
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  • Are AI systems biased against the poor? A machine learning analysis using Word2Vec and GloVe embeddings.Georgina Curto, Mario Fernando Jojoa Acosta, Flavio Comim & Begoña Garcia-Zapirain - forthcoming - AI and Society:1-16.
    Among the myriad of technical approaches and abstract guidelines proposed to the topic of AI bias, there has been an urgent call to translate the principle of fairness into the operational AI reality with the involvement of social sciences specialists to analyse the context of specific types of bias, since there is not a generalizable solution. This article offers an interdisciplinary contribution to the topic of AI and societal bias, in particular against the poor, providing a conceptual framework of the (...)
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