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  1. Quasi-Metacognitive Machines: Why We Don’t Need Morally Trustworthy AI and Communicating Reliability is Enough.John Dorsch & Ophelia Deroy - 2024 - Philosophy and Technology 37 (2):1-21.
    Many policies and ethical guidelines recommend developing “trustworthy AI”. We argue that developing morally trustworthy AI is not only unethical, as it promotes trust in an entity that cannot be trustworthy, but it is also unnecessary for optimal calibration. Instead, we show that reliability, exclusive of moral trust, entails the appropriate normative constraints that enable optimal calibration and mitigate the vulnerability that arises in high-stakes hybrid decision-making environments, without also demanding, as moral trust would, the anthropomorphization of AI and thus (...)
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  • The Quest for the Transition of Inalienable Rights from Humans to Intelligent Machines.Angelo Compierchio, Phillip Tretten & Prasanna Illankoon - 2025 - Philosophies 10 (1):19.
    Intelligent machines (IMs), which have demonstrated remarkable innovations over time, require adequate attention concerning the issue of their duty–rights split in our current society. Although we can remain optimistic about IMs’ societal role, we must still determine their legal-philosophical sense of accountability, as living data bits have begun to pervade our lives. At the heart of IMs are human characteristics used to self-optimize their practical abilities and broaden their societal impact. We used Kant’s philosophical requirements to investigate IMs’ moral dispositions, (...)
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