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UID:MEC-df0aab058ce179e4f7ab135ed4e641a9@iafiable.es
DTSTART:20241110T123000Z
DTEND:20241110T160000Z
DTSTAMP:20241111T102000Z
CREATED:20241111
LAST-MODIFIED:20241111
PRIORITY:5
SEQUENCE:75
TRANSP:OPAQUE
SUMMARY:IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI’24)
DESCRIPTION:\n\nWorkshop on Foundational Ethics in AI Model Development for Healthcare: Technical Challenges and Solutions\n\nAbstract: BHI attracts innovators interested in translational cutting-edge research for healthcare applications. This topic is appropriate as the use of AI in clinical decisionmaking is becoming more prevalent, and these decisions can have significant moral and ethical implications, potentially exacerbating existing health disparities. Despite this, ethics is often an afterthought in model development process, a practice that is at odds with the fundamental principle of medicine: to do no harm. The main aim is to equip AI practitioners in positioning foundational ethics as an integral part of model development process, rather than a quality that models are evaluated on post-hoc. We will address technical challenges in embedding ethical principles into the very genesis of humancentric model development, representing a paradigm shift from measuring and mitigating impacts to preventing them; thus contributing to leverage Trustworthy AI. We will discuss how to practically integrate ethics in research proposal and conceptualization.\n\nTayo Obafemi-Ajayi, Missouri State Univ., USA\nKeeley Crockett, Manchester Metropolitan University, UK\nJose María Alonso-Moral, Universidade de Santiago de Compostela, Spain\nAnnabel Latham, Manchester Metropolitan Universitym UK\n\n\nMore information: https://bhi.embs.org/2024/ ( https://bhi.embs.org/2024/ )\n\n\n
URL:https://iafiable.es/events/ieee-embs/
ORGANIZER;CN=IEEE Engineering in Medicine and Biology Society (IEEE EMBS):MAILTO:
CATEGORIES:Eventos
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