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  1. Algorithms, Governance, and Governmentality: On Governing Academic Writing.Lucas D. Introna - 2016 - Science, Technology, and Human Values 41 (1):17-49.
    Algorithms, or rather algorithmic actions, are seen as problematic because they are inscrutable, automatic, and subsumed in the flow of daily practices. Yet, they are also seen to be playing an important role in organizing opportunities, enacting certain categories, and doing what David Lyon calls “social sorting.” Thus, there is a general concern that this increasingly prevalent mode of ordering and organizing should be governed more explicitly. Some have argued for more transparency and openness, others have argued for more democratic (...)
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  • Algorithms as culture: Some tactics for the ethnography of algorithmic systems.Nick Seaver - 2017 - Big Data and Society 4 (2).
    This article responds to recent debates in critical algorithm studies about the significance of the term “algorithm.” Where some have suggested that critical scholars should align their use of the term with its common definition in professional computer science, I argue that we should instead approach algorithms as “multiples”—unstable objects that are enacted through the varied practices that people use to engage with them, including the practices of “outsider” researchers. This approach builds on the work of Laura Devendorf, Elizabeth Goodman, (...)
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  • Algorithms and their others: Algorithmic culture in context.Paul Dourish - 2016 - Big Data and Society 3 (2).
    Algorithms, once obscure objects of technical art, have lately been subject to considerable popular and scholarly scrutiny. What does it mean to adopt the algorithm as an object of analytic attention? What is in view, and out of view, when we focus on the algorithm? Using Niklaus Wirth's 1975 formulation that “algorithms + data structures = programs” as a launching-off point, this paper examines how an algorithmic lens shapes the way in which we might inquire into contemporary digital culture.
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  • The ethics of algorithms: mapping the debate.Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo, Sandra Wachter & Luciano Floridi - 2016 - Big Data and Society 3 (2):2053951716679679.
    In information societies, operations, decisions and choices previously left to humans are increasingly delegated to algorithms, which may advise, if not decide, about how data should be interpreted and what actions should be taken as a result. More and more often, algorithms mediate social processes, business transactions, governmental decisions, and how we perceive, understand, and interact among ourselves and with the environment. Gaps between the design and operation of algorithms and our understanding of their ethical implications can have severe consequences (...)
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  • Meeting the universe halfway: quantum physics and the entanglement of matter and meaning.Karen Barad - 2007 - Durham: Duke University Press.
    A theoretical physicist and feminist theorist, Karen Barad elaborates her theory of agential realism, a schema that is at once a new epistemology, ontology, and ethics.
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  • (1 other version)The whale and the reactor: a search for limits in an age of high technology.Langdon Winner - 1986 - Chicago: University of Chicago Press.
    "--David Dickson, New York Times Book Review "The Whale and the Reactor is the philosopher's equivalent of superb public history.
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  • On the Mode of Existence of Technical Objects.Gilbert Simondon - 2011 - Deleuze and Guatarri Studies 5 (3):407-424.
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  • (1 other version)A thousand plateaus: capitalism and schizophrenia.Gilles Deleuze - 1987 - London: Athlone Press. Edited by Félix Guattari.
    Suggests an open system of psychological exploration to cut through accepted norms of morality, language, and politics.
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  • Is there an ethics of algorithms?Martin Peterson - 2011 - Ethics and Information Technology 13 (3):251-260.
    We argue that some algorithms are value-laden, and that two or more persons who accept different value-judgments may have a rational reason to design such algorithms differently. We exemplify our claim by discussing a set of algorithms used in medical image analysis: In these algorithms it is often necessary to set certain thresholds for whether e.g. a cell should count as diseased or not, and the chosen threshold will partly depend on the software designer’s preference between avoiding false positives and (...)
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