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  1.  49
    Can a Machine Think ? Automation Beyond Simulation.M. Beatrice Fazi - 2019 - AI and Society 34 (4):813-824.
    This article will rework the classical question ‘Can a machine think?’ into a more specific problem: ‘Can a machine think anything new?’ It will consider traditional computational tasks such as prediction and decision-making, so as to investigate whether the instrumentality of these operations can be understood in terms of the creation of novel thought. By addressing philosophical and technoscientific attempts to mechanise thought on the one hand, and the philosophical and cultural critique of these attempts on the other, I will (...)
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  2.  16
    Can a Machine Think ? Automation Beyond Simulation.M. Beatrice Fazi - 2019 - AI and Society 34 (4):813-824.
    This article will rework the classical question ‘Can a machine think?’ into a more specific problem: ‘Can a machine think anything new?’ It will consider traditional computational tasks such as prediction and decision-making, so as to investigate whether the instrumentality of these operations can be understood in terms of the creation of novel thought. By addressing philosophical and technoscientific attempts to mechanise thought on the one hand, and the philosophical and cultural critique of these attempts on the other, I will (...)
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  3.  4
    Beyond Human: Deep Learning, Explainability and Representation.M. Beatrice Fazi - forthcoming - Theory, Culture and Society:026327642096638.
    This article addresses computational procedures that are no longer constrained by human modes of representation and considers how these procedures could be philosophically understood in terms of ‘algorithmic thought’. Research in deep learning is its case study. This artificial intelligence technique operates in computational ways that are often opaque. Such a black-box character demands rethinking the abstractive operations of deep learning. The article does so by entering debates about explainability in AI and assessing how technoscience and technoculture tackle the possibility (...)
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  4. Contingent Computation: Abstraction, Experience, and Indeterminacy in Computational Aesthetics.M. Beatrice Fazi - 2018 - Rowman & Littlefield International.
    Contingent Computation offers a new theoretical perspective through which we can engage philosophically with computing. The book proves that aesthetics is a viable mode of investigating contemporary computational systems.
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  5.  22
    Do Algorithms Have Fun? On Completion, Indeterminacy and Autonomy in Computation.Luciana Parisi & M. Beatrice Fazi - unknown
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