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  1. Design for values and conceptual engineering.Herman Veluwenkamp & Jeroen van den Hoven - 2023 - Ethics and Information Technology 25 (1):1-12.
    Politicians and engineers are increasingly realizing that values are important in the development of technological artefacts. What is often overlooked is that different conceptualizations of these abstract values lead to different design-requirements. For example, designing social media platforms for deliberative democracy sets us up for technical work on completely different types of architectures and mechanisms than designing for so-called liquid or direct forms of democracy. Thinking about Democracy is not enough, we need to design for the proper conceptualization of these (...)
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  • Technology as Driver for Morally Motivated Conceptual Engineering.Herman Veluwenkamp, Marianna Capasso, Jonne Maas & Lavinia Marin - 2022 - Philosophy and Technology 35 (3):1-25.
    New technologies are the source of uncertainties about the applicability of moral and morally connotated concepts. These uncertainties sometimes call for conceptual engineering, but it is not often recognized when this is the case. We take this to be a missed opportunity, as a recognition that different researchers are working on the same kind of project can help solve methodological questions that one is likely to encounter. In this paper, we present three case studies where philosophers of technology implicitly engage (...)
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  • Embedding AI in society: ethics, policy, governance, and impacts.Michael Pflanzer, Veljko Dubljević, William A. Bauer, Darby Orcutt, George List & Munindar P. Singh - 2023 - AI and Society 38 (4):1267-1271.
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  • How does artificial intelligence work in organisations? Algorithmic management, talent and dividuation processes.Joan Rovira Martorell, Francisco Tirado, José Luís Blasco & Ana Gálvez - forthcoming - AI and Society:1-11.
    This article analyses the forms of dividuation workers undergo when they are linked to technologies, such as algorithms or artificial intelligence. It examines functionalities and operations deployed by certain types of Talent Management software and apps—UKG, Tribepad, Afiniti, RetailNext and Textio. Specifically, it analyses how talented workers materialise in relation to the profiles and the statistical models generated by such artificial intelligence machines. It argues that these operate as a nooscope that allows the transindividual plane to be quantified through a (...)
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  • At the intersection of humanity and technology: a technofeminist intersectional critical discourse analysis of gender and race biases in the natural language processing model GPT-3.M. A. Palacios Barea, D. Boeren & J. F. Ferreira Goncalves - forthcoming - AI and Society:1-19.
    Algorithmic biases, or algorithmic unfairness, have been a topic of public and scientific scrutiny for the past years, as increasing evidence suggests the pervasive assimilation of human cognitive biases and stereotypes in such systems. This research is specifically concerned with analyzing the presence of discursive biases in the text generated by GPT-3, an NLPM which has been praised in recent years for resembling human language so closely that it is becoming difficult to differentiate between the human and the algorithm. The (...)
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  • A Neo-Republican Critique of AI ethics.Jonne Maas - 2022 - Journal of Responsible Technology 9 (C):100022.
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