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Co-design of a trus...
Co-design of a trustworthy AI system in healthcare : deep learning based skin lesion classifier
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- Zicari, Roberto V. (författare)
- Frankfurt Big Data Lab, Goethe University Frankfurt, Frankfurt, Germany; Department of Business Management and Analytics, Arcada University of Applied Sciences, Helsinki, Finland; Data Science Graduate School, Seoul National University, Seoul, South Korea
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- Ahmed, Sheraz (författare)
- German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
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- Amann, Julia (författare)
- Health Ethics and Policy Lab, Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland
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- Braun, Stephan Alexander (författare)
- Department of Dermatology, University Clinic Münster, Münster, Germany; Department of Dermatology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
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- Brodersen, John (författare)
- Section of General Practice and Research Unit for General Practice, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Primary Health Care Research Unit, Region Zealand, Denmark
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- Bruneault, Frédérick (författare)
- École des médias, Collège André-Laurendeau, Université du Québec à Montréal and Philosophie, QC, Montreal, Canada
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- Brusseau, James (författare)
- Philosophy Department, Pace University, NY, New York, United States
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- Campano, Erik (författare)
- Umeå universitet,Institutionen för informatik
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- Coffee, Megan (författare)
- Department of Medicine and Division of Infectious Diseases and Immunology, NYU Grossman School of Medicine, NY, New York, United States
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- Dengel, Andreas (författare)
- German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany; Department of Computer Science, TU Kaiserslautern, Kaiserslautern, Germany
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- Düdder, Boris (författare)
- Department of Computer Science (DIKU), University of Copenhagen (UCPH), Copenhagen, Denmark
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- Gallucci, Alessio (författare)
- Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands
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- Gilbert, Thomas Krendl (författare)
- Center for Human-Compatible AI, University of California, CA, Berkeley, United States
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- Gottfrois, Philippe (författare)
- Department of Biomedical Engineering, Basel University, Basel, Switzerland
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- Goffi, Emmanuel (författare)
- The Global AI Ethics Institute, Paris, France
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- Haase, Christoffer Bjerre (författare)
- Section for Health Service Research and Section for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Centre for Research in Assessment and Digital Learning, Deakin University, VIC, Melbourne, Australia
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- Hagendorff, Thilo (författare)
- Ethics & Philosophy Lab, University of Tuebingen, Tuebingen, Germany
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- Hickman, Eleanore (författare)
- Faculty of Law, University of Cambridge, Cambridge, United Kingdom
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- Hildt, Elisabeth (författare)
- Center for the Study of Ethics in the Professions, Illinois Institute of Technology, IL, Chicago, United States
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- Holm, Sune (författare)
- Department of Food and Resource Economics, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
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- Kringen, Pedro (författare)
- Frankfurt Big Data Lab, Goethe University Frankfurt, Frankfurt, Germany
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- Kühne, Ulrich (författare)
- Hautmedizin Bad Soden, Bad Soden, Germany
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- Lucieri, Adriano (författare)
- German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany; Department of Computer Science, TU Kaiserslautern, Kaiserslautern, Germany
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- Madai, Vince I. (författare)
- Charité Lab for AI in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany; QUEST Center for Transforming Biomedical Research, Berlin Institute of Health (BIH), Charité Universitätsmedizin Berlin, Berlin, Germany; School of Computing and Digital Technology, Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, United Kingdom
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- Moreno-Sánchez, Pedro A. (författare)
- School of Healthcare and Social Work Seinäjoki University of Applied Sciences (SeAMK), Seinäjoki, Finland
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- Medlicott, Oriana (författare)
- AI Ethics, London, United Kingdom
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- Ozols, Matiss (författare)
- Division of Cell Matrix Biology and Regenerative Medicine, The University of Manchester, Manchester, United Kingdom; Human Genetics, Wellcome Sanger Institute, United Kingdom
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- Schnebel, Eberhard (författare)
- Frankfurt Big Data Lab, Goethe University Frankfurt, Frankfurt, Germany
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- Spezzatti, Andy (författare)
- Industrial Engineering & Operation Research, UC Berkeley, CA, United States
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- Tithi, Jesmin Jahan (författare)
- Intel Labs, CA, Santa Clara, United States
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- Umbrello, Steven (författare)
- Institute for Ethics and Emerging Technologies, University of Turin, Turin, Italy
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- Vetter, Dennis (författare)
- Frankfurt Big Data Lab, Goethe University Frankfurt, Frankfurt, Germany
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- Volland, Holger (författare)
- Z-Inspection® Initiative, NY, New York, United States
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- Westerlund, Magnus (författare)
- Department of Business Management and Analytics, Arcada University of Applied Sciences, Helsinki, Finland
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- Wurth, Renee (författare)
- T. H Chan School of Public Health, Harvard University, MA, Cambridge, United States
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(creator_code:org_t)
- 2021-07-13
- 2021
- Engelska.
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Ingår i: Frontiers in Human Dynamics. - : Frontiers Media S.A.. - 2673-2726. ; 3
- Relaterad länk:
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https://doi.org/10.3...
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https://umu.diva-por... (primary) (Raw object)
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https://www.frontier...
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- This paper documents how an ethically aligned co-design methodology ensures trustworthiness in the early design phase of an artificial intelligence (AI) system component for healthcare. The system explains decisions made by deep learning networks analyzing images of skin lesions. The co-design of trustworthy AI developed here used a holistic approach rather than a static ethical checklist and required a multidisciplinary team of experts working with the AI designers and their managers. Ethical, legal, and technical issues potentially arising from the future use of the AI system were investigated. This paper is a first report on co-designing in the early design phase. Our results can also serve as guidance for other early-phase AI-similar tool developments.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Nyckelord
- artificial intelligence
- ethical co-design
- ethics
- healthcare
- malignant melanoma
- trustworthy AI
- trustworthy AI Co-design
- Z-inspection®1
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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Zicari, Roberto ...
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Ahmed, Sheraz
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Amann, Julia
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Braun, Stephan A ...
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Brodersen, John
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Bruneault, Frédé ...
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visa fler...
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Brusseau, James
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Campano, Erik
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Coffee, Megan
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Dengel, Andreas
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Düdder, Boris
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Gallucci, Alessi ...
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Gilbert, Thomas ...
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Gottfrois, Phili ...
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Goffi, Emmanuel
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Haase, Christoff ...
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Hagendorff, Thil ...
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Hickman, Eleanor ...
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Hildt, Elisabeth
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Holm, Sune
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Kringen, Pedro
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Kühne, Ulrich
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Lucieri, Adriano
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Madai, Vince I.
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Moreno-Sánchez, ...
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Medlicott, Orian ...
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Ozols, Matiss
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Schnebel, Eberha ...
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Spezzatti, Andy
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Tithi, Jesmin Ja ...
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Umbrello, Steven
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Vetter, Dennis
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Volland, Holger
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Westerlund, Magn ...
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Wurth, Renee
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