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Sökning: WFRF:(Hagendorff Andreas) > Co-design of a trus...

Co-design of a trustworthy AI system in healthcare : deep learning based skin lesion classifier

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
Ahmed, Sheraz (författare)
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
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
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
Bruneault, Frédérick (författare)
École des médias, Collège André-Laurendeau, Université du Québec à Montréal and Philosophie, QC, Montreal, Canada
Brusseau, James (författare)
Philosophy Department, Pace University, NY, New York, United States
Campano, Erik (författare)
Umeå universitet,Institutionen för informatik
Coffee, Megan (författare)
Department of Medicine and Division of Infectious Diseases and Immunology, NYU Grossman School of Medicine, NY, New York, United States
Dengel, Andreas (författare)
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany; Department of Computer Science, TU Kaiserslautern, Kaiserslautern, Germany
Düdder, Boris (författare)
Department of Computer Science (DIKU), University of Copenhagen (UCPH), Copenhagen, Denmark
Gallucci, Alessio (författare)
Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, Netherlands
Gilbert, Thomas Krendl (författare)
Center for Human-Compatible AI, University of California, CA, Berkeley, United States
Gottfrois, Philippe (författare)
Department of Biomedical Engineering, Basel University, Basel, Switzerland
Goffi, Emmanuel (författare)
The Global AI Ethics Institute, Paris, France
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
Hagendorff, Thilo (författare)
Ethics & Philosophy Lab, University of Tuebingen, Tuebingen, Germany
Hickman, Eleanore (författare)
Faculty of Law, University of Cambridge, Cambridge, United Kingdom
Hildt, Elisabeth (författare)
Center for the Study of Ethics in the Professions, Illinois Institute of Technology, IL, Chicago, United States
Holm, Sune (författare)
Department of Food and Resource Economics, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
Kringen, Pedro (författare)
Frankfurt Big Data Lab, Goethe University Frankfurt, Frankfurt, Germany
Kühne, Ulrich (författare)
Hautmedizin Bad Soden, Bad Soden, Germany
Lucieri, Adriano (författare)
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany; Department of Computer Science, TU Kaiserslautern, Kaiserslautern, Germany
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
Moreno-Sánchez, Pedro A. (författare)
School of Healthcare and Social Work Seinäjoki University of Applied Sciences (SeAMK), Seinäjoki, Finland
Medlicott, Oriana (författare)
AI Ethics, London, United Kingdom
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
Schnebel, Eberhard (författare)
Frankfurt Big Data Lab, Goethe University Frankfurt, Frankfurt, Germany
Spezzatti, Andy (författare)
Industrial Engineering & Operation Research, UC Berkeley, CA, United States
Tithi, Jesmin Jahan (författare)
Intel Labs, CA, Santa Clara, United States
Umbrello, Steven (författare)
Institute for Ethics and Emerging Technologies, University of Turin, Turin, Italy
Vetter, Dennis (författare)
Frankfurt Big Data Lab, Goethe University Frankfurt, Frankfurt, Germany
Volland, Holger (författare)
Z-Inspection® Initiative, NY, New York, United States
Westerlund, Magnus (författare)
Department of Business Management and Analytics, Arcada University of Applied Sciences, Helsinki, Finland
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.
Ingår i: Frontiers in Human Dynamics. - : Frontiers Media S.A.. - 2673-2726. ; 3
  • Tidskriftsartikel (refereegranskat)
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

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