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        Chapter 1 Rethinking our Assumptions about Moral Status

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        Author(s)
        Clarke, Steve
        Savulescu, Julian
        Collection
        Wellcome
        Language
        English
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        Abstract
        Recent technological developments and potential technological developments of the near future require us to try to think clearly about what it is to have moral status and about when and why we should attribute moral status to beings and entities. What should we say about the moral status of human non-human chimeras, human brain organoids, artificial intelligence, cyborgs, post-humans, and human minds that have been uploaded into a computer, or onto the internet? In this introductory chapter we survey some key assumptions ordinarily made about moral status that may require rethinking. These include the assumptions that all humans who are not severely cognitively impaired have equal moral status, that possession of the sophisticated cognitive capacities typical of human adults is necessary for full moral status, that only humans can have full moral status, and that there can be no beings with higher moral status than ordinary adult humans. We also need to consider how we should treat beings and entities when we find ourselves uncertain about their moral status.
        Book
        Rethinking Moral Status
        URI
        https://library.oapen.org/handle/20.500.12657/54266
        Keywords
        artificial intelligence, cyborgs, human brain organoids, human non-human chimeras, moral uncertainty, moral status, post-humans, slavery, species membership, uploaded minds
        DOI
        10.1093/oso/9780192894076.003.0001
        ISBN
        97801928904076
        Publisher
        Oxford University Press
        Publisher website
        https://global.oup.com/
        Publication date and place
        Oxford, 2021
        Grantor
        • Wellcome Trust - WT203132/Z/16/Z
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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