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pro vyhledávání: '"Vetter, dennis"'
Graph representation learning is central for the application of machine learning (ML) models to complex graphs, such as social networks. Ensuring `fair' representations is essential, due to the societal implications and the use of sensitive personal
Externí odkaz:
http://arxiv.org/abs/2407.20024
Autor:
Vetter, Dennis, Ahsan, Muhammad, Delicado, Diana, Neubauer, Thomas A., Wilke, Thomas, Roig, Gemma
In this paper, we present our first proposal of a machine learning system for the classification of freshwater snails of the genus Radomaniola. We elaborate on the specific challenges encountered during system design, and how we tackled them; namely
Externí odkaz:
http://arxiv.org/abs/2407.20013
Autor:
Boonstra, Marjolein, Bruneault, Frédérick, Chakraborty, Subrata, Faber, Tjitske, Gallucci, Alessio, Hickman, Eleanore, Kema, Gerard, Kim, Heejin, Kooiker, Jaap, Hildt, Elisabeth, Lamadé, Annegret, Mathez, Emilie Wiinblad, Möslein, Florian, Pathuis, Genien, Sartor, Giovanni, Steege, Marijke, Stocco, Alice, Tadema, Willy, Tuimala, Jarno, van Vledder, Isabel, Vetter, Dennis, Vetter, Jana, Westerlund, Magnus, Zicari, Roberto V.
This report shares the experiences, results and lessons learned in conducting a pilot project ``Responsible use of AI'' in cooperation with the Province of Friesland, Rijks ICT Gilde-part of the Ministry of the Interior and Kingdom Relations (BZK) (b
Externí odkaz:
http://arxiv.org/abs/2404.14366
Assessing the trustworthiness of artificial intelligence systems requires knowledge from many different disciplines. These disciplines do not necessarily share concepts between them and might use words with different meanings, or even use the same wo
Externí odkaz:
http://arxiv.org/abs/2208.04608
Autor:
Zicari, Roberto V., Amann, Julia, Bruneault, Frédérick, Coffee, Megan, Düdder, Boris, Hickman, Eleanore, Gallucci, Alessio, Gilbert, Thomas Krendl, Hagendorff, Thilo, van Halem, Irmhild, Hildt, Elisabeth, Holm, Sune, Kararigas, Georgios, Kringen, Pedro, Madai, Vince I., Mathez, Emilie Wiinblad, Tithi, Jesmin Jahan, Vetter, Dennis, Westerlund, Magnus, Wurth, Renee
This report is a methodological reflection on Z-Inspection$^{\small{\circledR}}$. Z-Inspection$^{\small{\circledR}}$ is a holistic process used to evaluate the trustworthiness of AI-based technologies at different stages of the AI lifecycle. It focus
Externí odkaz:
http://arxiv.org/abs/2206.09887
Autor:
Amann, Julia, Vetter, dennis, Blomberg, Stig Nikolaj Fasmer, Christensen, Helle Collatz, Coffee, Megan, Gerke, Sara, Gilbert, Thomas, Hagendorff, Thilo, Holm, Sune, Livne, Michelle, Spezzatti, Andy, Strumke, Inga, Zicari, Roberto V., Madai, Vince Istvan
Externí odkaz:
https://hdl.handle.net/11250/3065039
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
Publikováno v:
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.
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.
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 ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dc50ee4a393be40f411867b33aab1ff
Autor:
Zicari, Roberto V., Brusseau, James, Blomberg, Stig Nikolaj, Christensen, Helle Collatz, Coffee, Megan, Ganapini, Marianna B., Gerke, Sara, Gilbert, Thomas Krendl, Hickman, Eleanore, Hildt, Elisabeth, Holm, Sune, Kühne, Ulrich, Madai, Vince I., Osika, Walter, Spezzatti, Andy, Schnebel, Eberhard, Tithi, Jesmin Jahan, Vetter, Dennis, Westerlund, Magnus, Wurth, Renee, Amann, Julia, Antun, Vegard, Beretta, Valentina, Bruneault, Frédérick, Campano, Erik, Düdder, Boris, Gallucci, Alessio, Goffi, Emmanuel, Haase, Christoffer Bjerre, Hagendorff, Thilo, Kringen, Pedro, Möslein, Florian, Ottenheimer, Davi, Ozols, Matiss, Palazzani, Laura, Petrin, Martin, Tafur, Karin, Tørresen, Jim, Volland, Holger, Kararigas, Georgios
Publikováno v:
Zicari, R V, Brusseau, J, Blomberg, S N, Christensen, H C, Coffee, M, Ganapini, M B, Gerke, S, Gilbert, T K, Hickman, E, Hildt, E, Holm, S, Kühne, U, Madai, V I, Osika, W, Spezzatti, A, Schnebel, E, Tithi, J J, Vetter, D, Westerlund, M, Wurth, R, Amann, J, Antun, V, Beretta, V, Bruneault, F, Campano, E, Düdder, B, Gallucci, A, Goffi, E, Haase, C B, Hagendorff, T, Kringen, P, Möslein, F, Ottenheimer, D, Ozols, M, Palazzani, L, Petrin, M, Tafur, K, Tørresen, J, Volland, H & Kararigas, G 2021, ' On assessing trustworthy AI in healthcare : Best practice for machine learning as a supportive tool to recognize cardiac arrest in emergency calls ', Frontiers in Human Dynamics, vol. 3, 673104 . https://doi.org/10.3389/fhumd.2021.673104
Artificial Intelligence (AI) has the potential to greatly improve the delivery of healthcare and other services that advance population health and wellbeing. However, the use of AI in healthcare also brings potential risks that may cause unintended h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2751::1fd842e5b33d0f15bdaef6ab34e55470
https://curis.ku.dk/portal/da/publications/on-assessing-trustworthy-ai-in-healthcare(c640d7bd-134b-406b-addd-948585f94b90).html
https://curis.ku.dk/portal/da/publications/on-assessing-trustworthy-ai-in-healthcare(c640d7bd-134b-406b-addd-948585f94b90).html
Autor:
Vetter, Dennis
Mit zunehmendem Fortschritt der Globalisierung nimmt auch die Wichtigkeit von soft power zu. Wenige Länder scheinen sich dieser Herausforderung mehr bewusst zu sein als die Vereinigten Arabischen Emirate. Deren Sicherheits-Architektur basiert zu ein
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46af23223f6c44b29ddb58730eb5cf68