Articles

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

Roberto V. Zicari • James Brusseau • Stig Nikolaj Blomberg • Helle Collatz Christensen • Megan Coffee • Marianna B. Ganapini • Sara Gerke • Thomas Krendl Gilbert • Eleanore Hickman • Elisabeth Hildt • Sune Holm • Ulrich Kühne • Vince I. Madai • Walter Osika • Andy Spezzatti • Eberhard Schnebel • Jesmin Jahan Tithi • Dennis Vetter • Magnus Westerlund • Renee Wurth • Julia Amann • Vegard Antun • Valentina Beretta • Frédérick Bruneault • Erik Campano • Boris Düdder • Alessio Gallucci • Emmanuel Goffi • Christoffer Bjerre Haase • Thilo Hagendorff • Pedro Kringen • Florian Möslein • Davi Ottenheimer • Matiss Ozols • Laura Palazzani • Martin Petrin • Karin Tafur • Jim Tørresen • Holger Volland • Georgios Kararigas

Front. Hum. Dyn., 08 July 2021

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Co-design of a Trustworthy AI System in Healthcare: Deep Learning based Skin Lesion Classifier. 

Roberto V. Zicari, Sheraz Ahmed, Julia Amann, Stephan Alexander Braun, John Brodersen, Frédérick Bruneault, James Brusseau, Erik Campano , Megan Coffee, Andreas Dengel, Boris Düdder, Alessio Gallucci, Thomas Krendl Gilbert, Philippe Gottfrois, Emmanuel Goffi, Christoffer Bjerre Haase, Thilo Hagendorff, Eleanore Hickman, Elisabeth Hildt, Sune Holm, Pedro Kringen, Ulrich Kühne, Adriano Lucieri, Vince I. Madai, Pedro A. Moreno-Sánchez, Oriana Medlicott, Matiss Ozols, Eberhard Schnebel, Andy Spezzatti, Jesmin Jahan Tithi, Steven Umbrello, Dennis Vetter, Holger Volland, Magnus Westerlund, Renee Wurth. 

Published on 13 July 2021. Front. Hum. Dyn. doi:
https://doi.org/10.3389/fhumd.2021.688152

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Z-Inspection®: A Process to Assess Trustworthy AI.

Roberto V. Zicari, John Brodersen, James Brusseau, Boris Düdder, Timo Eichhorn, Todor Ivanov, Georgios Kararigas , Pedro Kringen, Melissa McCullough, Florian Möslein, Karsten Tolle, Jesmin Jahan Tithi, Naveed Mushtaq, Gemma Roig , Norman Stürtz, Irmhild van Halem, Magnus Westerlund.

IEEE Transactions on Technology and Society, 2021. Print ISSN: 2637-6415, Online ISSN: 2637-6415 Digital Object Identifier: 10.1109/TTS.2021.3066209 DOWNLOAD THE PAPER, Cite This.

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Brusseau J. , What a Philosopher Learned at an AI Ethics Evaluation, AI Ethics Journal 2020, 1(1)-4,

Zicari, R. V.. (2020). KI, Ethik, Vertrauen, Risiken, AuditPosition paper presented at the Enquete-Kommission „Künstliche Intelligenz – Gesellschaftliche Verantwortung und wirtschaftliche, soziale und ökologische Potenziale“ of the German Bundestag, on February 10, 2020, Berlin.

Zicari, R. V.. (2018). Big Data and Artificial Intelligence: Ethical and Societal Implications. In Wolff, B. (Ed.), In Whither artificial intelligence? Debating the policy challenges of the upcoming transformation (pp. 68). Mercator Science-Policy Fellowship-Programme.

Credit: Getty Images

Book Chapters

Florian Möslein, Roberto V. Zicari.  Certifying Artificial Intelligence. Book chapter in “Research Handbook on Big Data Law“, Editor Roland Vogl, CodeX – The Stanford Center for Legal Informatics, Edward Elgar Publishing, Publication Date: May 2021 ISBN: 978 1 78897 281 9 Extent: c 456 pp

Roberto V. Zicari. Assessing the trustworthiness of artificial intelligence. In Data Science in Economics and Finance for Decision Makers (editor Per Nymand-Andersen), Risk Books 2021

Boris Düdder, Florian Möslein, Norman Stürtz, Magnus Westerlund , Roberto V. Zicari. Ethical Maintenance of Artificial Intelligence Systems. Book chapter in “Artificial Intelligence for Sustainable Value Creation “. Editors Margherita Pagani and Renaud Champion, em Lyon Business School.  Edward Elgar Publishing, 2021 to appear.


Talks

  • Mindful Use of AI.  Z-Inspection: A process to assess Trustworthy AI” – Talk (30 minutes), Prof. Roberto V. Zicari, AI4EU Workshop, Nov. 13, 2020. YouTube Video.
  • Mindful Use of AI.  Z-Inspection: A holistic and analytic process to assess Ethical AI – Roberto V. Zicari,Frankfurt Big Data Lab, July 2, 2020, Youtube video.  and pdf of the slides
  • “Mindful Use of AI.  Z-Inspection: A holistic and analytic process to assess Ethical AI” – Talk(1 hour). Prof.Roberto V. Zicari, Frankfurt Big Data Lab, July 2, 2020, Youtube video  and copy of the slides of the talk: Zicari.Lecture.July2.2020
  • Introduction to Z-inspection. A framework to assess Ethical AI” – Talk (2 hours). Prof. Roberto V. Zicari,  May 27, 2020 [slides] [video]
  • The Ethics of Artificial Intelligence (AI) – Lecture (2 hours).Prof. Roberto V. Zicari, April 22, 2020. [slides] [video]

Videos

  • Mindful Use of AI.  Z-Inspection: A holistic and analytic process to assess Ethical AI – Roberto V. Zicari,Frankfurt Big Data Lab, July 2, 2020, Youtube video:  https://www.youtube.com/watch?v=NJ2XASEHdWA and pdf slides: http://www.bigdata.uni-frankfurt.de/wp-content/uploads/2019/01/Zicari.Lecture.July2_.2020.pdf
  • Prof. Zicari gave an impulse talk at the high-profile German Parliamentary AI examination committee. Die Mitglieder der  Enquete-Kommission „Künstliche Intelligenz – Gesellschaftliche Verantwortung und wirtschaftliche, soziale und ökologische Potenziale“ haben sich am  Montag, 10. Februar 2020, in ihrer Sitzung mit Feinheiten einer möglichen  Regulierung algorithmischer Entscheidungssysteme (ADM-Systeme) befasst. Fünf Sachverständige trugen dazu in öffentlicher Sitzung unter Leitung von Kommissionsmitglied  Ronja Kemmer (CDU/CSU) vor. Professor Roberto V. Zicari (Initiative Z-inspection) betonte in seinem Vortag die Bedeutung von Vertrauen im Einsatz von Systemen der Künstlichen Intelligenz. Zicari verwies wiederholt auf Empfehlungen der Datenethik-Kommission. Er empfahl unter anderem, dass der Staat keine proprietären KI-Systeme einsetzen sollte, die mit Berufung auf Geschäftsgeheimnisse Transparenz verhinderten.
  • Das Video der Anhörung ist jetzt in der Mediathek des Bundestags abrufbar: https://www.bundestag.de/dokumente/textarchiv/2020/kw07-pa-enquete-ki-681576 “

Initiative