دانلود مقاله انگلیسی رایگان:جنبه های قانونی پاکسازی داده ها در هوش مصنوعی پزشکی - 2020
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  • Legal aspects of data cleansing in medical AI Legal aspects of data cleansing in medical AI
    Legal aspects of data cleansing in medical AI

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    Legal aspects of data cleansing in medical AI


    ترجمه فارسی عنوان مقاله:

    جنبه های قانونی پاکسازی داده ها در هوش مصنوعی پزشکی


    منبع:

    Sciencedirect - Elsevier - Computer Law & Security Review: The International Journal of Technology Law and Practice, 42 (2021) 105587: doi:10:1016/j:clsr:2021:105587


    نویسنده:

    Karl Stöger a,∗, David Schneeberger b, Peter Kieseberg c, Andreas Holzinger d,1


    چکیده انگلیسی:

    Keywords:Data cleansing Data quality Medical AI Medical devicesData quality is of paramount importance for the smooth functioning of modern data-driven AI applications with machine learning as a core technology. This is also true for med- ical AI, where malfunctions due to "dirty data" can have particularly dramatic harmful implications. Consequently, data cleansing is an important part in improving the usabil- ity of (Big) Data for medical AI systems. However, it should not be overlooked that data cleansing can also have negative effects on data quality if not performed carefully. This pa- per takes an interdisciplinary look at some of the technical and legal challenges of data cleansing against the background of European medical device law, with the key message that technical and legal aspects must always be considered together in such a sensitive context.© 2021 Karl Stöger, David Schneeberger, Peter Kieseberg, Andreas Holzinger. Published byElsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)∗ Corresponding author.E-mail addresses: karl.stoeger@univie.ac.at (K. Stöger), david.schneeberger@univie.ac.at (D. Schneeberger), peter.kieseberg@fhstp.ac.at (P. Kieseberg), Andreas.holzinger@medunigraz.at (A. Holzinger).1 Karl Stöger is Professor of Medical Law at the University of Vienna, Austria, Department of Constitutional and Administrative Law; David Schneeberger is a Research and Teaching Assistant at the University of Vienna, Austria, Department of Constitutional and Admin- istrative Law and the Medical University of Graz, Austria; Peter Kieseberg is Head of Institute at St. Pölten University of Applied Sciences, Austria; Andreas Holzinger is Head of the Human-Centered AI Lab at the Medical University of Graz, Austria, and Visiting Professor for explainable AI at the Alberta Machine Intelligence Institute, University of Alberta in Edmonton, Canada.https://doi.org/10.1016/j.clsr.2021.1055870267-3649/© 2021 Karl Stöger, David Schneeberger, Peter Kieseberg, Andreas Holzinger. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
    Keywords: Data cleansing | Data quality | Medical AI | Medical devices


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 13
    حجم فایل: 454 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




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