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Brent Mittelstadt & Luciano Floridi (2016). The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts.

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  1.  9
    Big Data Analytics, Infectious Diseases and Associated Ethical Impacts.Chiara Garattini, Jade Raffle, Dewi N. Aisyah, Felicity Sartain & Zisis Kozlakidis - forthcoming - Philosophy and Technology:1-17.
    The exponential accumulation, processing and accrual of big data in healthcare are only possible through an equally rapidly evolving field of big data analytics. The latter offers the capacity to rationalize, understand and use big data to serve many different purposes, from improved services modelling to prediction of treatment outcomes, to greater patient and disease stratification. In the area of infectious diseases, the application of big data analytics has introduced a number of changes in the information accumulation models. These are (...)
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  2.  5
    “Strongly Recommended” Revisiting Decisional Privacy to Judge Hypernudging in Self-Tracking Technologies.Marjolein Lanzing - forthcoming - Philosophy and Technology:1-20.
    This paper explores and rehabilitates the value of decisional privacy as a conceptual tool, complementary to informational privacy, for critiquing personalized choice architectures employed by self-tracking technologies. Self-tracking technologies are promoted and used as a means to self-improvement. Based on large aggregates of personal data and the data of other users, self-tracking technologies offer personalized feedback that nudges the user into behavioral change. The real-time personalization of choice architectures requires continuous surveillance and is a very powerful technology, recently coined as (...)
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  3.  1
    Beyond Data Collection: Ethical Issues in Minority Research.Eli Talbert - forthcoming - Ethics and Behavior:1-16.
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  4.  5
    On Some Possible Ramifications of the “Microplastics in Fish” Case.Bor Luen Tang - forthcoming - Science and Engineering Ethics:1-8.
    Cases of research misconduct in the ecological and environmental sciences appear to be relatively rare. A controversial paper published in Science in 2016 documenting the effects of microplastics on the feeding and innate behaviours of fish larvae has recently been retracted, with the authors found guilty of scientific misconduct. In addition to the expected fallout, such as individual and institutional reputational damage from a research misconduct finding, this case has two possibly wider-ranging ramifications. Firstly, there may be a presumptive notion (...)
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  5.  17
    Trust and Justice in Big Data Analytics: Bringing the Philosophical Literature on Trust to Bear on the Ethics of Consent.Woolley J. Patrick - forthcoming - Philosophy and Technology:1-24.
    Much bioethical literature and policy guidances for big data analytics in biomedical research emphasize the importance of trust. It is essential that potential participants trust so they will allow their data to be used to further research. However, comparatively, little guidance is offered as to what trustworthy oversight mechanisms are, or how policy should support them, as data are collected, shared, and used. Generally, “trust” is not characterized well enough, or meaningfully enough, for the term to be systematically applied in (...)
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  6.  65
    Consent and the Ethical Duty to Participate in Health Data Research.Angela Ballantyne & G. Owen Schaefer - 2018 - Journal of Medical Ethics 44 (6):392-396.
    The predominant view is that a study using health data is observational research and should require individual consent unless it can be shown that gaining consent is impractical. But recent arguments have been made that citizens have an ethical obligation to share their health information for research purposes. In our view, this obligation is sufficient ground to expand the circumstances where secondary use research with identifiable health information is permitted without explicit subject consent. As such, for some studies the Institutional (...)
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  7.  39
    Ethics and Epistemology in Big Data Research.Wendy Lipworth, Paul H. Mason, Ian Kerridge & John P. A. Ioannidis - 2017 - Journal of Bioethical Inquiry 14 (4):489-500.
    Biomedical innovation and translation are increasingly emphasizing research using “big data.” The hope is that big data methods will both speed up research and make its results more applicable to “real-world” patients and health services. While big data research has been embraced by scientists, politicians, industry, and the public, numerous ethical, organizational, and technical/methodological concerns have also been raised. With respect to technical and methodological concerns, there is a view that these will be resolved through sophisticated information technologies, predictive algorithms, (...)
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  8.  13
    The Ethics of Biomedical Big Data.H. Mason Paul - 2017 - Journal of Bioethical Inquiry 14 (4):571-574.
    The availability of diverse sources of data related to health and illness from various types of modern communication technology presents the possibility of augmenting medical knowledge, clinical care, and the patient experience. New forms of data collection and analysis will undoubtedly transform epidemiology, public health, and clinical practice, but what ethical considerations come in to play? With a view to analysing the ethical and regulatory dimensions of burgeoning forms of biomedical big data, Brent Daniel Mittelstadt and Luciano Floridi have brought (...)
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  9.  29
    Ethics of the Health-Related Internet of Things: A Narrative Review.Brent Mittelstadt - 2017 - Ethics and Information Technology 19 (3):1-19.
    The internet of things is increasingly spreading into the domain of medical and social care. Internet-enabled devices for monitoring and managing the health and well-being of users outside of traditional medical institutions have rapidly become common tools to support healthcare. Health-related internet of things (H-IoT) technologies increasingly play a key role in health management, for purposes including disease prevention, real-time tele-monitoring of patient’s functions, testing of treatments, fitness and well-being monitoring, medication dispensation, and health research data collection. H-IoT promises many (...)
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  10.  35
    From Individual to Group Privacy in Big Data Analytics.Brent Mittelstadt - 2017 - Philosophy and Technology 30 (4):475-494.
    Mature information societies are characterised by mass production of data that provide insight into human behaviour. Analytics has arisen as a practice to make sense of the data trails generated through interactions with networked devices, platforms and organisations. Persistent knowledge describing the behaviours and characteristics of people can be constructed over time, linking individuals into groups or classes of interest to the platform. Analytics allows for a new type of algorithmically assembled group to be formed that does not necessarily align (...)
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  11. The Threat of Algocracy: Reality, Resistance and Accommodation.John Danaher - 2016 - Philosophy and Technology 29 (3):245-268.
    One of the most noticeable trends in recent years has been the increasing reliance of public decision-making processes on algorithms, i.e. computer-programmed step-by-step instructions for taking a given set of inputs and producing an output. The question raised by this article is whether the rise of such algorithmic governance creates problems for the moral or political legitimacy of our public decision-making processes. Ignoring common concerns with data protection and privacy, it is argued that algorithmic governance does pose a significant threat (...)
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