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Manipulation, injustice, and technology

In Michael Klenk & Fleur Jongepier (eds.), The Philosophy of Online Manipulation. Routledge. pp. 108-131 (2022)

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  1. The Philosophy of Online Manipulation.Michael Klenk & Fleur Jongepier (eds.) - 2022 - Routledge.
    Are we being manipulated online? If so, is being manipulated by online technologies and algorithmic systems notably different from human forms of manipulation? And what is under threat exactly when people are manipulated online? This volume provides philosophical and conceptual depth to debates in digital ethics about online manipulation. The contributions explore the ramifications of our increasingly consequential interactions with online technologies such as online recommender systems, social media, user-friendly design, micro-targeting, default-settings, gamification, and real-time profiling. The authors in this (...)
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  • Ethics of generative AI and manipulation: a design-oriented research agenda.Michael Klenk - 2024 - Ethics and Information Technology 26 (1):1-15.
    Generative AI enables automated, effective manipulation at scale. Despite the growing general ethical discussion around generative AI, the specific manipulation risks remain inadequately investigated. This article outlines essential inquiries encompassing conceptual, empirical, and design dimensions of manipulation, pivotal for comprehending and curbing manipulation risks. By highlighting these questions, the article underscores the necessity of an appropriate conceptualisation of manipulation to ensure the responsible development of Generative AI technologies.
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  • Algorithmic Transparency and Manipulation.Michael Klenk - 2023 - Philosophy and Technology 36 (4):1-20.
    A series of recent papers raises worries about the manipulative potential of algorithmic transparency (to wit, making visible the factors that influence an algorithm’s output). But while the concern is apt and relevant, it is based on a fraught understanding of manipulation. Therefore, this paper draws attention to the ‘indifference view’ of manipulation, which explains better than the ‘vulnerability view’ why algorithmic transparency has manipulative potential. The paper also raises pertinent research questions for future studies of manipulation in the context (...)
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