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Herman Veluwenkamp
University of Groningen
  1.  36
    Reasons for Meaningful Human Control.Herman Veluwenkamp - 2022 - Ethics and Information Technology 24 (4):1-9.
    ”Meaningful human control” is a term invented in the political and legal debate on autonomous weapons system, but it is nowadays also used in many other contexts. It is supposed to specify conditions under which an artificial system is under the right kind of control to avoid responsibility gaps: that is, situations in which no moral agent is responsible. Santoni de Sio and Van den Hoven have recently suggested a framework that can be used by system designers to operationalize this (...)
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  2.  57
    Technology as Driver for Morally Motivated Conceptual Engineering.Herman Veluwenkamp, Marianna Capasso, Jonne Maas & Lavinia Marin - 2022 - Philosophy and Technology 35 (3):1-25.
    New technologies are the source of uncertainties about the applicability of moral and morally connotated concepts. These uncertainties sometimes call for conceptual engineering, but it is not often recognized when this is the case. We take this to be a missed opportunity, as a recognition that different researchers are working on the same kind of project can help solve methodological questions that one is likely to encounter. In this paper, we present three case studies where philosophers of technology implicitly engage (...)
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  3. Inferentialist Truth Pluralism.Herman Veluwenkamp - 2021 - Ethical Theory and Moral Practice 24 (1):107-121.
    Metasemantic inferentialismhas gained popularity in the last few decades. Traditionally, inferentialism is combined with a deflationary attitude towards semantic terms such as truth and reference, i.e., many inferentialists hold that when we use these semantic terms we do not purport to refer to substantive properties. This combination makes inferentialism attractive for philosophers who see themselves as antirealists. Although the attractions of combining inferentialism and deflationism are easy to see, deflationism is also a controversial position. For one, deflationists maintain that truth (...)
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  4.  75
    Parfit’s and Scanlon’s Non-Metaphysical Moral Realism as Alethic Pluralism.Herman Veluwenkamp - 2017 - Ethical Theory and Moral Practice 20 (4):751-761.
    Thomas Scanlon and Derek Parfit have recently defended a meta-ethical view that is supposed to satisfy realistic intuitions about morality, without the metaphysical implications that many find hard to accept in other realist views. Both philosophers argue that truths in the normative domain do not have ontological implications, while truths in the scientific domain presuppose a metaphysical reality. What distinguishes Scanlon and Parfit’s approach from other realistic meta-ethical theories is that they maintain that normative entities exist in a way that (...)
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  5.  13
    Spotting When Algorithms Are Wrong.Stefan Buijsman & Herman Veluwenkamp - forthcoming - Minds and Machines:1-22.
    Users of sociotechnical systems often have no way to independently verify whether the system output which they use to make decisions is correct; they are epistemically dependent on the system. We argue that this leads to problems when the system is wrong, namely to bad decisions and violations of the norm of practical reasoning. To prevent this from occurring we suggest the implementation of defeaters: information that a system is unreliable in a specific case or independent information that the output (...)
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  6.  40
    Reasoning Biases, Non‐Monotonic Logics and Belief Revision.Catarina Dutilh Novaes & Herman Veluwenkamp - 2017 - Theoria 83 (1):29-52.
    A range of formal models of human reasoning have been proposed in a number of fields such as philosophy, logic, artificial intelligence, computer science, psychology, cognitive science, etc.: various logics, probabilistic systems, belief revision systems, neural networks, among others. Now, it seems reasonable to require that formal models of human reasoning be empirically adequate if they are to be viewed as models of the phenomena in question. How are formal models of human reasoning typically put to empirical test? One way (...)
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  7.  21
    Reasoning Biases, Non‐Monotonic Logics and Belief Revision.Catarina Dutilh Novaes & Herman Veluwenkamp - 2016 - Theoria 82 (4):29-52.
    A range of formal models of human reasoning have been proposed in a number of fields such as philosophy, logic, artificial intelligence, computer science, psychology, cognitive science, etc.: various logics, probabilistic systems, belief revision systems, neural networks, among others. Now, it seems reasonable to require that formal models of human reasoning be empirically adequate if they are to be viewed as models of the phenomena in question. How are formal models of human reasoning typically put to empirical test? One way (...)
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  8.  1
    Correction to: Technology as Driver for Morally Motivated Conceptual Engineering.Lavinia Marin, Jonne Maas, Marianna Capasso & Herman Veluwenkamp - 2022 - Philosophy and Technology 35 (4):1–1.
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  9.  6
    Design for values and conceptual engineering.Herman Veluwenkamp & Jeroen van den Hoven - 2023 - Ethics and Information Technology 25 (1):1-12.
    Politicians and engineers are increasingly realizing that values are important in the development of technological artefacts. What is often overlooked is that different conceptualizations of these abstract values lead to different design-requirements. For example, designing social media platforms for deliberative democracy sets us up for technical work on completely different types of architectures and mechanisms than designing for so-called liquid or direct forms of democracy. Thinking about Democracy is not enough, we need to design for the proper conceptualization of these (...)
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  10. The risks of autonomous machines: from responsibility gaps to control gaps.Frank Hindriks & Herman Veluwenkamp - 2023 - Synthese 201 (1):1-17.
    Responsibility gaps concern the attribution of blame for harms caused by autonomous machines. The worry has been that, because they are artificial agents, it is impossible to attribute blame, even though doing so would be appropriate given the harms they cause. We argue that there are no responsibility gaps. The harms can be blameless. And if they are not, the blame that is appropriate is indirect and can be attributed to designers, engineers, software developers, manufacturers or regulators. The real problem (...)
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