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  1. The lie of fmri: An examination of the ethics of a market in lie detection using functional magnetic resonance imaging. [REVIEW]Amy E. White - 2010 - HEC Forum 22 (3):253-266.
    In this paper, I argue that companies who use functional Magnetic Resonance Imaging (fMRI) scans for lie detection encounter the same basic ethical stumbling blocks as commercial companies that market traditional polygraphs. Markets in traditional voluntary polygraphs are common and fail to elicit much uproar among ethicists. Thus, for consistency, if markets in polygraphs are ethically unproblematic, markets using fMRIs for lie detection are equally as acceptable. Furthermore, while I acknowledge two substantial differences between the ethical concerns involving polygraphs and (...)
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  • Functional neuroimaging and the law: Trends and directions for future scholarship.Stacey A. Tovino - 2007 - American Journal of Bioethics 7 (9):44 – 56.
    Under the umbrella of the burgeoning neurotransdisciplines, scholars are using the principles and research methodologies of their primary and secondary fields to examine developments in neuroimaging, neuromodulation and psychopharmacology. The path for advanced scholarship at the intersection of law and neuroscience may clear if work across the disciplines is collected and reviewed and outstanding and debated issues are identified and clarified. In this article, I organize, examine and refine a narrow class of the burgeoning neurotransdiscipline scholarship; that is, scholarship at (...)
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  • Brain imaging and privacy.Juha Räikkä - 2010 - Neuroethics 3 (1):5-12.
    I will argue that the fairly common assumption that brain imaging may compromise people’s privacy in an undesirable way only if moral crimes are committed is false. Sometimes persons’ privacy is compromised because of failures of privacy. A normal emotional reaction to failures of privacy is embarrassment and shame, not moral resentment like in the cases of violations of right to privacy. I will claim that if (1) neuroimaging will provide all kinds of information about persons’ inner life and not (...)
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  • An Evaluation of the Pipeline Framework for Ethical Considerations in Machine Learning Healthcare Applications: The Case of Prediction from Functional Neuroimaging Data.Dawson J. Overton - 2020 - American Journal of Bioethics 20 (11):56-58.
    The pipeline framework for identifying ethical issues in machine learning healthcare applications outlined by Char et al. is a very useful starting point for the systematic consideration...
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