http://z-inspection.org/wp-content/uploads/2020/07/zinspection2-2-300x139.png00Roberto Zicarihttp://z-inspection.org/wp-content/uploads/2020/07/zinspection2-2-300x139.pngRoberto Zicari2021-04-21 18:20:392021-04-21 19:01:33The legislative proposal for AI by the European Commission has been published today.
On April 15, 2021 we had a real great kick off meeting for this use case:
Assessing Trustworthy AI. Best Practice: Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients.
71 experts from all over the world attended.
Worldwide, the saturation of healthcare facilities, due to the high contagiousness of Sars-Cov-2 virus and the significant rate of respiratory complications is indeed one among the most critical aspects of the ongoing COVID-19 pandemic The team of Alberto Signoroni and colleagues implemented an end-to-end deep learning architecture, designed for predicting, on Chest X-rays images (CXR), a multi-regional score conveying the degree of lung compromise in COVID-19 patients.
We will work with Alberto Signoroni and his team and apply our Z-inspection® process to assess the ethical, technical and legal implications of using Deep Learning in this context.
http://z-inspection.org/wp-content/uploads/2020/07/zinspection2-2-300x139.png00Roberto Zicarihttp://z-inspection.org/wp-content/uploads/2020/07/zinspection2-2-300x139.pngRoberto Zicari2021-04-16 12:48:272021-04-16 16:52:10Kick off Meeting (April 15, 2021) Assessing Trustworthy AI. Best Practice: Deep Learning for predicting a multi-regional score conveying the degree of lung compromise in COVID-19 patients. In cooperation with Department of Information Engineering and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health – University of Brescia, Brescia, Italy
Jointly with the Emergency Medical Services Copenhagen, we completed the first part of our trustworthy AI assessment. A ML sytem is currently used as a supportive tool to recognize cardiac arrest in 112 emergency calls. A team of multidisciplinary experts used Z-Inspection® and identified ethical,technical and legal issues in using such AI system. This confirms some of the ethical concern raised by Kay Firth-Butterfield, back in June 2018….
This is another example of the need to test and verify algorithms,” saysKay Firth-Butterfield, head of Artificial Intelligence and Machine Learning at the World Economic Forum.
“We all want to believe that AI will ‘wave its magic wand’ and help us do better and this sounds as if it is a way of getting AI to do something extremely valuable. “But,” Firth-Butterfield added, “it still needs to meet the requirements of transparency and accountability and protection of patient privacy. As it is in the EU, it will be caught by GDPR, so it is probably not a problem.” However, the technology raises the fraught issue of accountability, as Firth-Butterfield explains. “Who is liable if the machine gets it wrong? the AI manufacturer, the human being advised by it, the centre using it? This is a much debated question within AI which we need to solve urgently: when do we accept that if the AI is wrong it doesn’t matter because it is significantly better than humans. Does it need to be a 100% better than us or just a little better? At what point is the use, or not using this technology negligent?”
– “Z-Inspection®: A Process to Assess Ethical 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
http://z-inspection.org/wp-content/uploads/2020/07/zinspection2-2-300x139.png00Roberto Zicarihttp://z-inspection.org/wp-content/uploads/2020/07/zinspection2-2-300x139.pngRoberto Zicari2021-03-27 17:33:442021-03-28 10:50:11This AI detects cardiac arrests during emergency calls
The Z-Inspection® Process is available for Download! “Z-Inspection®: A Process to Assess Ethical 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 […]
http://z-inspection.org/wp-content/uploads/2020/07/zinspection2-2-300x139.png00Roberto Zicarihttp://z-inspection.org/wp-content/uploads/2020/07/zinspection2-2-300x139.pngRoberto Zicari2021-03-19 09:59:112021-03-19 10:00:27The Z-Inspection® Process is available for Download!
Roberto V. Zicari did a 30 minutes presentation at the [AI4EU] Trustworthy AI workshop on our research on Z-Inspection® , a process to assess Trustworthy AI.
https://z-inspection.org/wp-content/uploads/2020/07/RVZcalifornia-scaled.jpg17092560Roberto Zicarihttp://z-inspection.org/wp-content/uploads/2020/07/zinspection2-2-300x139.pngRoberto Zicari2020-11-20 10:02:512020-11-24 10:45:57Presentation on Z-Inspection® at the [AI4EU] Trustworthy AI workshop. November 13, 2020
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