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  1. Heritable Genome Editing in a Global Context: National and International Policy Challenges.Achim Rosemann, Adam Balen, Brigitte Nerlich, Christine Hauskeller, Margaret Sleeboom-Faulkner, Sarah Hartley, Xinqing Zhang & Nick Lee - 2019 - Hastings Center Report 49 (3):30-42.
    A central problem for the international governance of heritable germline gene editing is that there are important differences in attitudes and values as well as ethical and health care considerations around the world. These differences are reflected in a complicated and diverse regulatory landscape. Several publications have discussed whether reproductive uses would be legally permissible in individual countries and whether clinical applications could emerge in the context of regulatory gaps and gray areas. Systematic comparative studies that explore issues related to (...)
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    Attitudes Towards the Donation of Human Embryos for Stem Cell Research Among Chinese IVF Patients and Students.Achim Rosemann & Huiyu Luo - 2018 - Journal of Bioethical Inquiry 15 (3):441-457.
    Bioethical debates on the use of human embryos and oocytes for stem cell research have often been criticized for the lack of empirical insights into the perceptions and experiences of the women and couples who are asked to donate these tissues in the IVF clinic. Empirical studies that have investigated the attitudes of IVF patients and citizens on the donation of their embryos and oocytes have been scarce and have focused predominantly on the situation in Europe and Australia. This article (...)
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  3. A method for the ethical analysis of brain-inspired AI.Michele Farisco, Gianluca Baldassarre, Emilio Cartoni, Antonia Leach, Mihai Petrovici, Achim Rosemann, Arleen Salles, Bernd Stahl & Sacha van Albada - unknown
    Despite its successes, to date Artificial Intelligence (AI) is still characterized by a number of shortcomings with regards to different application domains and goals. These limitations are arguably both conceptual (e.g., related to the underlying theoretical models, such as symbolic vs.connectionist), and operational (e.g., related to robustness and ability to generalize). Biologically inspired AI, and more specifically brain-inspired AI, promises to provide further biological aspects beyond those that are already traditionally included in AI, making it possible to assess and possibly (...)
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    Developing capabilities for responsible research and innovation (RRI).George Ogoh, Simisola Akintoye, Damian Eke, Michele Farisco, Josepine Fernow, Karin Grasenick, Manuel Guerrero, Achim Rosemann, Arleen Salles & Inga Ulnicane - 2023 - Journal of Responsible Technology 15 (C):100065.
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