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  1. The Incalculability of the Generated Text.Alžbeta Kuchtová - 2024 - Philosophy and Technology 37 (1):1-20.
    In this paper, I explore Derrida’s concept of exteriorization in relation to texts generated by machine learning. I first discuss Heidegger’s view of machine creation and then present Derrida’s criticism of Heidegger. I explain the concept of iterability, which is the central notion on which Derrida’s criticism is based. The thesis defended in the paper is that Derrida’s account of iterability provides a helpful framework for understanding the phenomenon of machine learning–generated literature. His account of textuality highlights the incalculability and (...)
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  • When to Fill Responsibility Gaps: A Proposal.Michael Da Silva - forthcoming - Journal of Value Inquiry:1-26.
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  • From liability gaps to liability overlaps: shared responsibilities and fiduciary duties in AI and other complex technologies.Bart Custers, Henning Lahmann & Benjamyn I. Scott - forthcoming - AI and Society:1-16.
    Complex technologies such as Artificial Intelligence (AI) can cause harm, raising the question of who is liable for the harm caused. Research has identified multiple liability gaps (i.e., unsatisfactory outcomes when applying existing liability rules) in legal frameworks. In this paper, the concepts of shared responsibilities and fiduciary duties are explored as avenues to address liability gaps. The development, deployment and use of complex technologies are not clearly distinguishable stages, as often suggested, but are processes of cooperation and co-creation. At (...)
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  • The existence of manual mode increases human blame for AI mistakes.Mads N. Arnestad, Samuel Meyers, Kurt Gray & Yochanan E. Bigman - 2024 - Cognition 252 (C):105931.
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