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  1. The ethics of innovation for Alzheimer’s disease: the risk of overstating evidence for metabolic enhancement protocols.Timothy Daly, Ignacio Mastroleo, David Gorski & Stéphane Epelbaum - 2020 - Theoretical Medicine and Bioethics 41 (5):223-237.
    Medical practice is ideally based on robust, relevant research. However, the lack of disease-modifying treatments for Alzheimer’s disease has motivated “innovative practice” to improve patients’ well-being despite insufficient evidence for the regular use of such interventions in health systems treating millions of patients. Innovative or new non-validated practice poses at least three distinct ethical questions: first, about the responsible application of new non-validated practice to individual patients ; second, about the way in which data from new non-validated practice are communicated (...)
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  • Call of Duty at the Frontier of Research: Normative Epistemology for High-Risk/High-Gain Studies of Deep Brain Stimulation.Merlin Bittlinger - 2018 - Cambridge Quarterly of Healthcare Ethics 27 (4):647-659.
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  • The Ethical Obligation for Research During Public Health Emergencies: Insights From the COVID-19 Pandemic.Mariana Barosa, Euzebiusz Jamrozik & Vinay Prasad - 2023 - Medicine, Health Care and Philosophy (1):49-70.
    In times of crises, public health leaders may claim that trials of public health interventions are unethical. One reason for this claim can be that equipoise—i.e. a situation of uncertainty and/or disagreement among experts about the evidence regarding an intervention—has been disturbed by a change of collective expert views. Some might claim that equipoise is disturbed if the majority of experts believe that emergency public health interventions are likely to be more beneficial than harmful. However, such beliefs are not always (...)
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  • For the Common Good: Philosophical Foundations of Research Ethics.Alex John London - 2021 - New York, NY, USA: Oxford University Press.
    The foundations of research ethics are riven with fault lines emanating from a fear that if research is too closely connected to weighty social purposes an imperative to advance the common good through research will justify abrogating the rights and welfare of study participants. The result is an impoverished conception of the nature of research, an incomplete focus on actors who bear important moral responsibilities, and a system of ethics and oversight highly attuned to the dangers of research but largely (...)
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  • “Trust but Verify”: The Difficulty of Trusting Autonomous Weapons Systems.Heather M. Roff & David Danks - 2018 - Journal of Military Ethics 17 (1):2-20.
    ABSTRACTAutonomous weapons systems pose many challenges in complex battlefield environments. Previous discussions of them have largely focused on technological or policy issues. In contrast, we focus here on the challenge of trust in an AWS. One type of human trust depends only on judgments about the predictability or reliability of the trustee, and so are suitable for all manner of artifacts. However, AWSs that are worthy of the descriptor “autonomous” will not exhibit the required strong predictability in the complex, changing (...)
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  • Self-Defeating Codes of Medical Ethics and How to Fix Them: Failures in COVID-19 Response and Beyond.Alex John London - 2021 - American Journal of Bioethics 21 (1):4-13.
    Statements of the core ethical and professional responsibilities of medical professionals are incomplete in ways that threaten fundamental goals of medicine. First, in the absence of explicit guida...
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  • Artificial Intelligence and Black‐Box Medical Decisions: Accuracy versus Explainability.Alex John London - 2019 - Hastings Center Report 49 (1):15-21.
    Although decision‐making algorithms are not new to medicine, the availability of vast stores of medical data, gains in computing power, and breakthroughs in machine learning are accelerating the pace of their development, expanding the range of questions they can address, and increasing their predictive power. In many cases, however, the most powerful machine learning techniques purchase diagnostic or predictive accuracy at the expense of our ability to access “the knowledge within the machine.” Without an explanation in terms of reasons or (...)
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  • Judging Quality and Coordination in Biomarker Diagnostic Development.Spencer Phillips Hey - 2015 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 30 (2):207-227.
    What makes a high-quality biomarker experiment? The success of personalized medicine hinges on the answer to this question. In this paper, I argue that judgment about the quality of biomarker experiments is mediated by the problem of theoretical underdetermination. That is, the network of biological and pathophysiological theories motivating a biomarker experiment is sufficiently complicated that it often frustrates valid interpretation of the experimental results. Drawing on a case-study in biomarker diagnostic development from neurooncology, I argue that this problem of (...)
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  • First-in-human HIV-remission studies: reducing and justifying risk.Rebecca Dresser - 2017 - Journal of Medical Ethics 43 (2):78-81.
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  • Complex Underdetermination and the Units of Clinical Translation.Spencer Phillips Hey - 2015 - Theoria 30 (2):207-227.
    What makes a high-quality biomarker experiment? The success of personalized medicine hinges on the answer to this question. Unfortunately, as many commentators have now emphasized, the quality of most biomarker experiments to date has been quite low. Although the technical side of this problem has received considerable attention, the philosophical issues remain largely unexplored. In this paper, I argue that understanding what constitutes a high-quality biomarker experiment requires some fundamental shifts in how we think about the epistemology, ontology, and methodology (...)
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