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  1. The Age of the Intelligent Machine: Singularity, Efficiency, and Existential Peril.Alexander Amigud - 2024 - Philosophy and Technology 37 (2):1-20.
    Machine learning, and more broadly artificial intelligence (AI), is a fascinating technology and can be considered as the closest approximation to the Cartesian “thinking thing” that humans have ever created. Just as the industrial revolution required a new ethos, the age of intelligent machines will create its own, challenging the established moral, economic, and political presuppositions. This paper discusses the relationship between AI and society; it presents several thought experiments to explore the complexity of the relationship and highlights the insufficiency (...)
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  • Algorithms Don’t Have A Past: Beyond Gadamer’s Alterity of the Text and Stader’s Reflected Prejudiced Use.Matthew S. Lindia - 2024 - Philosophy and Technology 37 (1):1-6.
    This commentary on Daniel Stader's recent article, “Algorithms Don't Have a Future: On the Relation of Judgement and Calculation” develops and complicates his argument by suggesting that algorithms ossify multiple kinds of prejudices, namely, the structural prejudices of the programmer and the exemplary prejudices of the dataset. This typology at once suggests that the goal of transparency may be impossible, but this impossibility enriches the possibilities for developing Stader's concept of reflected prejudiced use.
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