Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier
| Autor: | Zicari, Roberto V., Ahmed, Sheraz, Amann, Julia, Braun, Stephan A., Brodersen, John, Bruneault, Frédérick, Brusseau, James, Campano, Erik, Coffee, Megan, Dengel, Andreas, Düdder, Boris, Gallucci, Alessio, Krendl Gilbert, Thomas, Gottfrois, Philippe, Goffi, Emmanuel, Bjerre Haase, Christoffer, Hagendorff, Thilo, Hickman, Eleanore, Hildt, Elisabeth, Holm, Sune, Kringen, Pedro, Kühne, Ulrich, Lucieri, Adriano, Madai, Vince I., Moreno-Sánchez, Pedro A., Medlicott, Oriana, Ozols, Matiss, Schnebel, Eberhard, Spezzatti, Andy, Tithi, Jesmin J., Umbrello, Steven, Vetter, Dennis, Volland, Holger, Westerlund, Magnus, Wurth, Renee |
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| Přispěvatelé: | Apollo - University of Cambridge Repository, Security, Eindhoven MedTech Innovation Center |
| Rok vydání: | 2021 |
| Předmět: |
Z-inspection®1
Artificial intelligence Healthcare Trustworthy AI Ethics Malignant melanoma Z-inspection ®1 ethical co-design trustworthy AI Co-design malignant melanoma healthcare Social Sciences artificial intelligence ethics Basic Behavioral and Social Science 46 Information and Computing Sciences trustworthy AI Behavioral and Social Science ddc:610 ddc:004 33 Built Environment and Design 3303 Design |
| Zdroj: | Frontiers in Human Dynamics, 3 Zicari, R V, Ahmed, S, Amann, J, Braun, S A, Brodersen, J, Bruneault, F, Brusseau, J, Campano, E, Coffee, M, Dengel, A, Düdder, B, Gallucci, A, Gilbert, T K, Gottfrois, P, Goffi, E, Haase, C B, Hagendorff, T, Hickman, E, Hildt, E, Holm, S, Kringen, P, Kühne, U, Lucieri, A, Madai, V I, Moreno-Sánchez, P A, Medlicott, O, Ozols, M, Schnebel, E, Spezzatti, A, Tithi, J J, Umbrello, S, Vetter, D, Volland, H, Westerlund, M & Wurth, R 2021, ' Co-design of a trustworthy AI system in healthcare : Deep learning based skin lesion classifier ', Frontiers in Human Dynamics, vol. 3, 688152 . https://doi.org/10.3389/fhumd.2021.688152 Zicari, R V, Ahmed, S, Amann, J, Braun, S A, Brodersen, J, Bruneault, F, Brusseau, J, Campano, E, Coffee, M, Dengel, A, Düdder, B, Gallucci, A, Gilbert, T K, Gottfrois, P, Goffi, E, Haase, C B, Hagendorff, T, Hickman, E, Hildt, E, Holm, S, Kringen, P, Kühne, U, Lucieri, A, Madai, V I, Moreno-Sánchez, P A, Medlicott, O, Ozols, M, Schnebel, E, Spezzatti, A, Tithi, J J, Umbrello, S, Vetter, D, Volland, H, Westerlund, M & Wurth, R 2021, ' Co-Design of a Trustworthy AI System in Healthcare: Deep Learning Based Skin Lesion Classifier ', Frontiers in Human Dynamics, vol. 3 . https://doi.org/10.3389/fhumd.2021.688152 Frontiers in Human Dynamics, 3:688152. Frontiers Media S.A. |
| ISSN: | 2673-2726 |
| DOI: | 10.17863/cam.73407 |
| Popis: | 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. Frontiers in Human Dynamics, 3 ISSN:2673-2726 |
| Databáze: | OpenAIRE |
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