Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments

Autor: Ganapini, Marianna B., Campbell, Murray, Fabiano, Francesco, Horesh, Lior, Lenchner, Jon, Loreggia, Andrea, Mattei, Nicholas, Rahgooy, Taher, Rossi, Francesca, Srivastava, Biplav, Venable, Brent

Current AI systems lack several important human capabilities, such as adaptability, generalizability, self-control, consistency, common sense, and causal reasoning. We believe that existing cognitive theories of human decision making, such as the thi

Externí odkaz: http://arxiv.org/abs/2201.07050

On assessing trustworthy AI in healthcare:Best practice for machine learning as a supportive tool to recognize cardiac arrest in emergency calls

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

On Assessing Trustworthy AI in Healthcare. Machine Learning as a Supportive Tool to Recognize Cardiac Arrest in Emergency Calls

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

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=doi_________::15fe75a344713bada58aff9d5938c844