In recent years, a plethora of high-profile scientific publications has been reporting about machine learning algorithms outperforming clinicians in medical diagnosis or treatment recommendations. This has spiked interest in deploying relevant algorithms with the aim of enhancing decision-making in healthcare. In this paper, we argue that instead of straightforwardly enhancing the decision-making capabilities of clinicians and healthcare institutions, deploying machines learning algorithms entails trade-offs at the epistemic and the normative level. Whereas involving machine learning might improve the accuracy of medical (...) diagnosis, it comes at the expense of opacity when trying to assess the reliability of given diagnosis. Drawing on literature in social epistemology and moral responsibility, we argue that the uncertainty in question potentially undermines the epistemic authority of clinicians. Furthermore, we elucidate potential pitfalls of involving machine learning in healthcare with respect to paternalism, moral responsibility and fairness. At last, we discuss how the deployment of machine learning algorithms might shift the evidentiary norms of medical diagnosis. In this regard, we hope to lay the grounds for further ethical reflection of the opportunities and pitfalls of machine learning for enhancing decision-making in healthcare. (shrink)

Advances in science and technology frequently raise new ethical, legal, and social issues, and developments in neuroscience and neuroimaging technology are no exception. Within the field of neuroethics, leading scientists, ethicists, and humanists are exploring the implications of efforts to image, study, treat, and enhance the human brain.This article focuses on one aspect of neuroethics: the confidentiality and privacy implications of advances in functional magnetic resonance imaging. Following a brief orientation to fMRI and an overview of some of its current (...) and proposed uses, this article highlights key confidentiality and privacy issues raised by fMRI in the contexts of health care, research, employment, insurance, criminal justice, litigation, and cognitive privacy. (shrink)

Advances in science and technology frequently raise new ethical, legal, and social issues, and developments in neuroscience and neuroimaging technology are no exception. Within the field of neuroethics, leading scientists, ethicists, and humanists are exploring the implications of efforts to image, study, treat, and enhance the human brain.This article focuses on one aspect of neuroethics: the confidentiality and privacy implications of advances in functional magnetic resonance imaging. Following a brief orientation to fMRI and an overview of some of its current (...) and proposed uses, this article highlights key confidentiality and privacy issues raised by fMRI in the contexts of health care, research, employment, insurance, criminal justice, litigation, and cognitive privacy. (shrink)