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  1. Safeguarding Users of Consumer Mental Health Apps in Research and Product Improvement Studies: an Interview Study.Kamiel Verbeke, Charu Jain, Ambra Shpendi & Pascal Borry - 2024 - Neuroethics 17 (1):1-20.
    Mental health-related data generated by app users during the routine use of Consumer Mental Health Apps (CMHAs) are being increasingly leveraged for research and product improvement studies. However, it remains unclear which ethical safeguards and practices should be implemented by researchers and app developers to protect users during these studies, and concerns have been raised over their current implementation in CMHAs. To better understand which ethical safeguards and practices are implemented, why and how, 17 app developers and researchers were interviewed (...)
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  • AI research ethics is in its infancy: the EU’s AI Act can make it a grown-up.Anaïs Resseguier & Fabienne Ufert - 2024 - Research Ethics 20 (2):143-155.
    As the artificial intelligence (AI) ethics field is currently working towards its operationalisation, ethics review as carried out by research ethics committees (RECs) constitutes a powerful, but so far underdeveloped, framework to make AI ethics effective in practice at the research level. This article contributes to the elaboration of research ethics frameworks for research projects developing and/or using AI. It highlights that these frameworks are still in their infancy and in need of a structure and criteria to ensure AI research (...)
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  • Emerging Paradigms for Ethical Review of Research Using Artificial Intelligence.James Shaw - 2022 - American Journal of Bioethics 22 (5):42-44.
    The ethical review of research using methods of artificial intelligence and machine learning in health care contexts has become an important challenge for Research Ethics Boards (also refer...
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