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  1. Perspectives for a human-centric industry: understanding the social critique of the utopian proposal.Margherita Pugnaletto - forthcoming - AI and Society:1-10.
    This article assesses the exploration of the utopian paradigm within the context of technological advancement and its implications for human labor. It engages in this reflection, beginning with John Danaher’s reading of utopian perspectives related to the evolution of the labor domain, and then focusing on the significance of the social element and its dynamics in redefining labor and productive structures. It focuses on utopia as a regulatory ideal, valuing the conjectural contributions from theories throughout the history of utopian thought. (...)
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  • Expectable Outcome Deontology – A New Theory of Life’s Meaning.Markus Rüther - forthcoming - Journal of Value Inquiry:1-29.
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  • The achievement gap thesis reconsidered: artificial intelligence, automation, and meaningful work.Lucas Scripter - forthcoming - AI and Society:1-14.
    John Danaher and Sven Nyholm have argued that automation, especially of the sort powered by artificial intelligence, poses a threat to meaningful work by diminishing the chances for meaning-conferring workplace achievement, what they call “achievement gaps”. In this paper, I argue that Danaher and Nyholm’s achievement gap thesis suffers from an ambiguity. The weak version of the thesis holds that automation may result in the appearance of achievement gaps, whereas the strong version holds that automation may result on balance loss (...)
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  • Why Care About Sustainable AI? Some Thoughts From The Debate on Meaning in Life.Markus Rüther - 2024 - Philosophy and Technology 37 (1):1-19.
    The focus of AI ethics has recently shifted towards the question of whether and how the use of AI technologies can promote sustainability. This new research question involves discerning the sustainability of AI itself and evaluating AI as a tool to achieve sustainable objectives. This article aims to examine the justifications that one might employ to advocate for promoting sustainable AI. Specifically, it concentrates on a dimension of often disregarded reasons — reasons of “meaning” or “meaningfulness” — as discussed more (...)
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