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  1. Dissecting the Algorithmic Leviathan: On the Socio-Political Anatomy of Algorithmic Governance.Pascal D. König - 2020 - Philosophy and Technology 33 (3):467-485.
    A growing literature is taking an institutionalist and governance perspective on how algorithms shape society based on unprecedented capacities for managing social complexity. Algorithmic governance altogether emerges as a novel and distinctive kind of societal steering. It appears to transcend established categories and modes of governance—and thus seems to call for new ways of thinking about how social relations can be regulated and ordered. However, as this paper argues, despite its novel way of realizing outcomes of collective steering and coordination, (...)
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  • Algorithms and values in justice and security.Paul Hayes, Ibo van de Poel & Marc Steen - 2020 - AI and Society 35 (3):533-555.
    This article presents a conceptual investigation into the value impacts and relations of algorithms in the domain of justice and security. As a conceptual investigation, it represents one step in a value sensitive design based methodology. Here, we explicate and analyse the expression of values of accuracy, privacy, fairness and equality, property and ownership, and accountability and transparency in this context. We find that values are sensitive to disvalue if algorithms are designed, implemented or deployed inappropriately or without sufficient consideration (...)
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  • The Disciplinary Power of Predictive Algorithms: A Foucauldian Perspective.Paul B. de Laat - 2019 - Ethics and Information Technology 21 (4):319-329.
    Big Data are increasingly used in machine learning in order to create predictive models. How are predictive practices that use such models to be situated? In the field of surveillance studies many of its practitioners assert that “governance by discipline” has given way to “governance by risk”. The individual is dissolved into his/her constituent data and no longer addressed. I argue that, on the contrary, in most of the contexts where predictive modelling is used, it constitutes Foucauldian discipline. Compliance to (...)
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  • AI&Society: Editorial Volume 35.2: The Trappings of AI Agency.Karamjit S. Gill - 2020 - AI and Society 35 (2):289-296.
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  • Artificial intelligence, transparency, and public decision-making.Karl de Fine Licht & Jenny de Fine Licht - forthcoming - AI and Society:1-10.
    The increasing use of Artificial Intelligence for making decisions in public affairs has sparked a lively debate on the benefits and potential harms of self-learning technologies, ranging from the hopes of fully informed and objectively taken decisions to fear for the destruction of mankind. To prevent the negative outcomes and to achieve accountable systems, many have argued that we need to open up the “black box” of AI decision-making and make it more transparent. Whereas this debate has primarily focused on (...)
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  • Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing. [REVIEW]Peter Seele, Claus Dierksmeier, Reto Hofstetter & Mario D. Schultz - forthcoming - Journal of Business Ethics:1-23.
    Firms increasingly deploy algorithmic pricing approaches to determine what to charge for their goods and services. Algorithmic pricing can discriminate prices both dynamically over time and personally depending on individual consumer information. Although legal, the ethicality of such approaches needs to be examined as often they trigger moral concerns and sometimes outrage. In this research paper, we provide an overview and discussion of the ethical challenges germane to algorithmic pricing. As a basis for our discussion, we perform a systematic interpretative (...)
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  • Brain–Computer Interfaces: Lessons to Be Learned From the Ethics of Algorithms.Andreas Wolkenstein, Ralf J. Jox & Orsolya Friedrich - 2018 - Cambridge Quarterly of Healthcare Ethics 27 (4):635-646.
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