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Empowerment or Engagement? Digital Health Technologies for Mental Healthcare

In Christopher Burr & Silvia Milano (eds.), The 2019 Yearbook of the Digital Ethics Lab. pp. 67-88 (2020)

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  1. Is There an App for That?: Ethical Issues in the Digital Mental Health Response to COVID-19.Joshua August Skorburg & Josephine Yam - 2022 - American Journal of Bioethics Neuroscience 13 (3):177-190.
    As COVID-19 spread, clinicians warned of mental illness epidemics within the coronavirus pandemic. Funding for digital mental health is surging and researchers are calling for widespread adoption to address the mental health sequalae of COVID-19. -/- We consider whether these technologies improve mental health outcomes and whether they exacerbate existing health inequalities laid bare by the pandemic. We argue the evidence for efficacy is weak and the likelihood of increasing inequalities is high. -/- First, we review recent trends in digital (...)
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  • Human Goals Are Constitutive of Agency in Artificial Intelligence.Elena Popa - 2021 - Philosophy and Technology 34 (4):1731-1750.
    The question whether AI systems have agency is gaining increasing importance in discussions of responsibility for AI behavior. This paper argues that an approach to artificial agency needs to be teleological, and consider the role of human goals in particular if it is to adequately address the issue of responsibility. I will defend the view that while AI systems can be viewed as autonomous in the sense of identifying or pursuing goals, they rely on human goals and other values incorporated (...)
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  • Co-Design and Ethical Artificial Intelligence for Health: An Agenda for Critical Research and Practice.James A. Shaw & Joseph Donia - 2021 - Big Data and Society 8 (2).
    Applications of artificial intelligence/machine learning in health care are dynamic and rapidly growing. One strategy for anticipating and addressing ethical challenges related to AI/ml for health care is patient and public involvement in the design of those technologies – often referred to as ‘co-design’. Co-design has a diverse intellectual and practical history, however, and has been conceptualized in many different ways. Moreover, AI/ml introduces challenges to co-design that are often underappreciated. Informed by perspectives from critical data studies and critical digital (...)
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  • Digital Psychiatry: Ethical Risks and Opportunities for Public Health and Well-Being.Christopher Burr, Jessica Morley, Mariarosaria Taddeo & Luciano Floridi - 2020 - IEEE Transactions on Technology and Society 1 (1):21–33.
    Common mental health disorders are rising globally, creating a strain on public healthcare systems. This has led to a renewed interest in the role that digital technologies may have for improving mental health outcomes. One result of this interest is the development and use of artificial intelligence for assessing, diagnosing, and treating mental health issues, which we refer to as ‘digital psychiatry’. This article focuses on the increasing use of digital psychiatry outside of clinical settings, in the following sectors: education, (...)
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