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Jenny Krutzinna
University of Bergen
  1.  25
    Clinical Applications of Machine Learning Algorithms: Beyond the Black Box.David S. Watson, Jenny Krutzinna, Ian N. Bruce, Christopher E. M. Griffiths, Iain B. McInnes, Michael R. Barnes & Luciano Floridi - 2019 - British Medical Journal 364:I886.
    Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.
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  2.  29
    Enabling Posthumous Medical Data Donation: An Appeal for the Ethical Utilisation of Personal Health Data.Jenny Krutzinna, Mariarosaria Taddeo & Luciano Floridi - 2019 - Science and Engineering Ethics 25 (5):1357-1387.
    This article argues that personal medical data should be made available for scientific research, by enabling and encouraging individuals to donate their medical records once deceased, similar to the way in which they can already donate organs or bodies. This research is part of a project on posthumous medical data donation developed by the Digital Ethics Lab at the Oxford Internet Institute at the University of Oxford. Ten arguments are provided to support the need to foster posthumous medical data donation. (...)
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  3.  33
    Enabling Posthumous Medical Data Donation: A Plea for the Ethical Utilisation of Personal Health Data.Luciano Floridi, Mariarosaria Taddeo & Jenny Krutzinna - 2019 - In Jenny Krutzinna & Luciano Floridi (eds.), The Ethics of Medical Data Donation. Springer Verlag.
    This article argues that personal medical data should be made available for scientific research, by enabling and encouraging individuals to donate their medical records once deceased, in a way similar to how they can already donate organs or bodies. This research is part of a project on posthumous medical data donation developed by the Digital Ethics Lab at the Oxford Internet Institute. Ten arguments are provided to support the need to foster posthumous medical data donation. Two major risks are also (...)
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  4.  64
    Breaking the Cycle: Solidarity with Care-Leaver Mothers.Jenny Krutzinna - 2021 - Journal of Diversity and Gender Studies 7 (2):82-92.
    A significant proportion of child protection cases involve care-experienced mothers, which reveals a continuous cycle of mothers who lose their children to social services after having been in state care themselves as children. While the importance of protecting children requires little explanation and forms the justificatory basis for child protection interventions, it is important to remember that care-experienced mothers were once children entrusted to the state’s care, and who arguably have been failed by the state in that their parenting opportunities (...)
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  5.  25
    Creating ‘Family’ in Adoption From Care.Jenny Krutzinna - 2021 - In Tarja Pösö, Marit Skivenes & June Thoburn (eds.), Adoption from Care. International Perspectives on Children’s Rights, Family Preservation and State Intervention. Bristol, Storbritannia: pp. 195-213.
    Adoption may be defined as ‘the legal process through which the state establishes a parental relationship, with all its attendant rights and duties, between a child and a (set of) parent(s) where there exists no previous procreative relationship’ . In adoptions from care, state intervention effectively converts an established, or nascent, adult– child relationship into ‘family’ in the legal sense. From the state’s perspective, adoption thus entails the transfer of parental responsibilities for a child in public care to a private (...)
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  6.  9
    Ethical Medical Data Donation: A Pressing Issue.Jenny Krutzinna & Luciano Floridi - 2019 - In Jenny Krutzinna & Luciano Floridi (eds.), The ethics of medical data donation.
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  7.  11
    Simulating (Some) Individuals in a Connected World.Jenny Krutzinna - 2021 - Journal of Medical Ethics 47 (6):403-404.
    Braun explores the use of digital twin technology in medicine with a particular emphasis on the question of how such simulations can represent a person.1 In defining some first conditions for ethically justifiable forms of representation of digital twins, he argues that digital twins do not threaten an embodied person, as long as that person retains control over their simulated representation via dynamic consent, and ideally with the option to choose both form and usage of the simulation. His thoughtful elaboration (...)
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  8.  40
    Who is ‘the Child’? Best Interests and Individuality of Children in Discretionary Decision-Making.Jenny Krutzinna - manuscript
    While the substantiation of “best interests” has received much attention, the question of how “the child” is conceptualised to ensure any action taken or decision made is in the particular child’s best interests has been largely neglected. In this paper, I argue that the lack of robust understanding of who “the child” is means that we continue to make many generalisations and category-based assumptions in determining the child’s best interests. In addressing the challenge of doing right by the individual child, (...)
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