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  1. Data feminism.Catherine D'Ignazio - 2020 - Cambridge, Massachusetts: The MIT Press. Edited by Lauren F. Klein.
    We have seen through many examples that data science and artificial intelligence can reinforce structural inequalities like sexism and racism. Data is power, and that power is distributed unequally. This book offers a vision for a feminist data science that can challenge power and work towards justice. This book takes a stand against a world that benefits some (including the authors, two white women) at the expense of others. It seeks to provide concrete steps for data scientists seeking to learn (...)
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  • Ethical issues associated with HIV molecular epidemiology: a qualitative exploratory study using inductive analytic approaches.Farirai Mutenherwa, Douglas R. Wassenaar & Tulio de Oliveira - 2019 - BMC Medical Ethics 20 (1):1-11.
    BackgroundHIV molecular epidemiology is increasingly recognized as a vital source of information for understanding HIV transmission dynamics. Despite extensive use of these data-intensive techniques in both research and public health settings, the ethical issues associated with this science have received minimal attention. As the discipline evolves, there is reasonable concern that existing ethical and legal frameworks and standards might lag behind the rapid methodological developments in this field. This is a follow-up on our earlier work that applied a predetermined analytical (...)
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  • Reassessing the Ethics of Molecular HIV Surveillance in the Era of Cluster Detection and Response: Toward HIV Data Justice.Stephen Molldrem & Anthony K. J. Smith - 2020 - American Journal of Bioethics 20 (10):10-23.
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  • Technology Changes the Ethical Stakes in HIV Surveillance and Prevention: Response to Open Peer Commentaries on “Reassessing the Ethics of Molecular HIV Surveillance in the Era of Cluster Detection and Response”.Stephen Molldrem & Anthony K. J. Smith - 2020 - American Journal of Bioethics 20 (10):W1-W3.
    Volume 20, Issue 10, October 2020, Page W1-W3.
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