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  1. Algorithmic Political Bias Can Reduce Political Polarization.Uwe Peters - 2022 - Philosophy and Technology 35 (3):1-7.
    Does algorithmic political bias contribute to an entrenchment and polarization of political positions? Franke argues that it may do so because the bias involves classifications of people as liberals, conservatives, etc., and individuals often conform to the ways in which they are classified. I provide a novel example of this phenomenon in human–computer interactions and introduce a social psychological mechanism that has been overlooked in this context but should be experimentally explored. Furthermore, while Franke proposes that algorithmic political classifications entrench (...)
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  • Democracy in the Time of “Hyperlead”: Knowledge Acquisition via Algorithmic Recommendation and Its Political Implication in Comparison with Orality, Literacy, and Hyperlink.Wha-Chul Son - 2022 - Philosophy and Technology 35 (3):1-21.
    Why hasn’t democracy been promoted by nor ICT been controlled by democratic governance? To answer this question, this research begins its investigation by comparing knowledge acquisition systems throughout history: orality, literacy, hyperlink, and hyperlead. “Hyperlead” is a newly coined concept to emphasize the passivity of people when achieving knowledge and information via algorithmic recommendation technologies. Subsequently, the four systems are compared in terms of their epistemological characteristics and political implications. It is argued that, while literacy and hyperlink contributed to the (...)
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  • Artificial Intelligence and the Secret Ballot.Jakob Mainz, Jorn Sonderholm & Rasmus Uhrenfeldt - forthcoming - AI and Society.
    In this paper, we argue that because of the advent of Artificial Intelligence, the secret ballot is now much less effective at protecting voters from voting related instances of social ostracism and social punishment. If one has access to vast amounts of data about specific electors, then it is possible, at least with respect to a significant subset of electors, to infer with high levels of accuracy how they voted in a past election. Since the accuracy levels of Artificial Intelligence (...)
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  • Algorithmic Political Bias—an Entrenchment Concern.Ulrik Franke - 2022 - Philosophy and Technology 35 (3):1-6.
    This short commentary on Peters identifies the entrenchment of political positions as one additional concern related to algorithmic political bias, beyond those identified by Peters. First, it is observed that the political positions detected and predicted by algorithms are typically contingent and largely explained by “political tribalism”, as argued by Brennan. Second, following Hacking, the social construction of political identities is analyzed and it is concluded that algorithmic political bias can contribute to such identities. Third, following Nozick, it is argued (...)
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