Artificial intelligence (AI) has garnered tremendous attention in health care, and many hope that AI can enhance our health system’s ability to care for people with chronic and degenerative conditions, including Parkinson’s Disease (PD). This paper reports the themes and lessons derived from a qualitative study with people living with PD, family caregivers, and health care providers regarding the ethical dimensions of using AI to monitor, assess, and predict PD symptoms and progression. Thematic analysis identified ethical concerns at four intersecting (...) levels: personal, interpersonal, professional/institutional, and societal levels. Reflecting on potential benefits of predictive algorithms that can continuously collect and process longitudinal data, participants expressed a desire for more timely, ongoing, and accurate information that could enhance management of day-to-day fluctuations and facilitate clinical and personal care as their disease progresses. Nonetheless, they voiced concerns about intersecting ethical questions around evolving illness identities, familial and professional care relationships, privacy, and data ownership/governance. The multi-layer analysis provides a helpful way to understand the ethics of using AI in monitoring and managing PD and other chronic/degenerative conditions. (shrink)

A small but growing body of philosophically informed survey work calls into question whether the value-free ideal is a dominant viewpoint among scientists. However, the survey instruments in used in these studies have important limitations. Previous work has also made little headway in developing hypotheses that might predict or explain differing views about the value-free ideal among scientists. In this article, we review previous survey work on this topic, describe an improved survey instrument, report results from an initial administration of (...) it that strengthen and refine previous results, and develop two hypotheses that may account for gender effects found in the data. (shrink)

Artificial intelligence (AI) technologies in medicine are gradually changing biomedical research and patient care. High expectations and promises from novel AI applications aiming to positively impact society raise new ethical considerations for patients and caregivers who use these technologies. Based on a qualitative content analysis of semi-structured interviews and focus groups with healthcare professionals (HCPs), patients, and family members of patients with Parkinson’s Disease (PD), the present study investigates participant views on the comparative benefits and problems of using human versus (...) AI predictive computer vision health monitoring, as well as participants’ ethical concerns regarding these technologies. Participants presumed that AI monitoring would enhance information sharing and treatment, but voiced concerns about data ownership, data protection, commercialization of patient data, and privacy at home. They highlighted that privacy issues at home and data security issues are often linked and should be investigated together. Findings may help technologists, HCPs, and policymakers determine how to incorporate stakeholders’ intersecting but divergent concerns into developing and implementing AI PD monitoring tools. (shrink)

The argument from inductive risk claims that judgments about the moral severity of errors are relevant to decisions about what should count as sufficient evidence for accepting claims. While this idea has been explored in connection with evidence required for the approval of pharmaceuticals, the role of inductive risk in the post-approval process has been largely neglected. In this article, we examine the ethics of inductive risk in connection with revisions to the product monograph for OxyContin in Canada, which understates (...) the risks of addiction and abuse associated with this drug. Using the concept of inductive risk, we consider what evidence should have been sufficient for Health Canada to revise the product monograph for OxyContin. Given the stakes involved, we argue that a less strict standard of evidence would have been appropriate, yet HC in fact took the opposite course, insisting upon a higher standard of evidence than it normally requires. In addition to providing a novel perspective on the opioid crisis in Canada, this article contributes to existing philosophical work by demonstrating that inductive risks in the post-approval stage are important and linked to pre-approval inductive risks. (shrink)

Studies of public health decisions that have had harmful effects tend to disagree about what constitutes a public health error. Debates exist about whether public health errors must be culpable or not, as well as about what the criteria for judging public health errors should be.