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  1. Algorithmic Decision-Making and the Control Problem.John Zerilli, Alistair Knott, James Maclaurin & Colin Gavaghan - 2019 - Minds and Machines 29 (4):555-578.
    The danger of human operators devolving responsibility to machines and failing to detect cases where they fail has been recognised for many years by industrial psychologists and engineers studying the human operators of complex machines. We call it “the control problem”, understood as the tendency of the human within a human–machine control loop to become complacent, over-reliant or unduly diffident when faced with the outputs of a reliable autonomous system. While the control problem has been investigated for some time, up (...)
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  • Multiple Realization in Systems Biology.Wei Fang - 2020 - Philosophy of Science 87 (4):663-684.
    Thomas Polger and Lawrence Shapiro claim that unlike human-made artifacts cases of multiple realization in naturally occurring systems are uncommon. Drawing on cases from systems biology, I argue t...
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  • Neural Redundancy and Its Relation to Neural Reuse.John Zerilli - 2019 - Philosophy of Science 86 (5):1191-1201.
    Evidence of the pervasiveness of neural reuse in the human brain has forced a revision of the standard conception of modularity in the cognitive sciences. One persistent line of argument against such revision, however, cites the evidence of cognitive dissociations. While this article takes the dissociations seriously, it contends that the traditional modular account is not the best explanation. The key to the puzzle is neural redundancy. The article offers both a philosophical analysis of the relation between reuse and redundancy (...)
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