4 found
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  1. The Definitional Issue of Fake News.Lode Lauwaert & Sacha Ferrari - forthcoming - Philosophy Today.
    The complex issue of fake news has been approached extensively by many disciplines in academia. Despite this variety of approaches, the concept of fake news still lacks a reasonable degree of definitional unicity. This paper critically analyzes a sample of definitions from the current literature. By diving into the set of definitions, it will exhibited a total of ten necessary conditions that scholars generally consider: imitation, falsity, deception, bullshit, purpose, morality, assessability, virality, channel, and appeal. Current definitions of fake news (...)
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  2.  74
    Digital privacy and the law: the challenge of regulatory capture.Bartek Chomanski & Lode Lauwaert - 2024 - AI and Society.
    Digital privacy scholars tend to bemoan ordinary people’s limited knowledge of and lukewarm interest in what happens to their digital data. This general lack of interest and knowledge is often taken as a consideration in favor of legislation aiming to force internet companies into adopting more responsible data practices. While we remain silent on whether any new laws are called for, in this paper we wish to underline a neglected consequence of people’s ignorance of and apathy for digital privacy: their (...)
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  3. Online consent: how much do we need to know?Bartek Chomanski & Lode Lauwaert - forthcoming - AI and Society.
    This paper argues, against the prevailing view, that consent to privacy policies that regular internet users usually give is largely unproblematic from the moral point of view. To substantiate this claim, we rely on the idea of the right not to know (RNTK), as developed by bioethicists. Defenders of the RNTK in bioethical literature on informed consent claim that patients generally have the right to refuse medically relevant information. In this article we extend the application of the RNTK to online (...)
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  4.  53
    A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences.Lode Lauwaert - 2023 - Artificial Intelligence Review 56:3473–3504.
    Since its emergence in the 1960s, Artifcial Intelligence (AI) has grown to conquer many technology products and their felds of application. Machine learning, as a major part of the current AI solutions, can learn from the data and through experience to reach high performance on various tasks. This growing success of AI algorithms has led to a need for interpretability to understand opaque models such as deep neural networks. Various requirements have been raised from diferent domains, together with numerous tools (...)
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