The legislative proposal for AI by the European Commission has been published today.

The highly anticipated legislative proposal for AI by the European Commission has been published today.

Read the EU Regulatory Proposal on AI:

https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-european-approach-artificial-intelligence

EU Press Release

Press release 21 April 2021 Brussels

Europe fit for the Digital Age: Commission proposes new rules and actions for excellence and trust in Artificial Intelligence

Kick 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

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.

For more information: https://z-inspection.org/best-practice-deep-learning-for-predicting-a-multi-regional-score-conveying-the-degree-of-lung-compromise-in-covid-19-patients/

This AI detects cardiac arrests during emergency calls

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,says Kay Firth-Butterfieldhead 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?

Source: https://www.weforum.org/agenda/2018/06/this-ai-detects-cardiac-arrests-during-emergency-calls/

Image: CPR

The full report is submitted for publication. Contact me if you are interested to know more. RVZ

Resources:

Article World Economic Forum, 06 Jun 2018.

Download the Z-Inspection® Process

“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

The Z-Inspection® Process is available for Download!

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 […]

Professor SIBRAND POPPEMA, MEMBER OF THE Z-Inspection® ADVISORY BOARD, RECEIVES GERMAN ORDER OF MERIT.

The Order of Merit of the Federal Republic of Germany is the highest tribute Germany pays for services to the nation. Professor Sibrand Poppema, member of the Advisory Board of the Z-Inspection® initiative and President of Sunway University in Malaysia, has been awarded the Officer’s Cross of the Order of Merit in recognition of his outstanding contribution to research and education relations between Germany and the Netherlands. Professor Poppema has recently joined as a member of the Advisory Board of the Z-Inspection® initiative. The Advisory Board is responsible for supporting the researcher members of the Z-Inspection initiative in scientific and strategic matters with external expertise. The Advisory Board currently consists of forty two international experts.

Award ceremony with Ambassador Dr. Peter Blomeyer
Photo: Sunway University

Naveed Mushtaq. May he rest in peace.

Our team member, colleague and friend Naveed Mushtaq has passed away last night. His heart did not make it.

He suffered a sudden cardiac arrest a few weeks ago.

May he rest in peace.  

We pray for the family, that God will grant them the serenity in this very difficult time in their life.

What a Philosopher Learned at an AI Ethics Evaluation

Our expert James Brusseau (PhD, Philosophy) – Pace University, New York City, USA– wrote an essay documenting the learnings he acquired from working on Z-Inspection® performed on an existing, deployed, and functioning AI medical device. 

What a Philosopher Learned at an AI Ethics Evaluation

By James Brusseau

AI ethics increasingly focuses on converting abstract principles into practical action. This case study documents nine lessons for the conversion learned while performing an ethics evaluation on a deployed AI medical device. The utilized ethical principles were adopted from the Ethics Guidelines for Trustworthy AI, and the conversion into practical insights and recommendations was accomplished by an independent team composed of philosophers, technical and medical experts.

This essay contributes to the conversion of abstract principles into concrete artificial intelligence applications by documenting learnings acquired from a robust ethics evaluation performed on an existing, deployed, and functioning AI medical device. 

The ethics evaluation formed part of a larger inspection involving technical and legal aspects of the device that was organized by computer scientist Roberto Zicari (2020). This document is limited to the applied ethics, and to his experience as a philosopher.

These are nine lessons I learned about applying ethics to AI in the real world.

DOWNLOAD PDF

Zicari, Roberto (2020). Z-Inspection: A process to assess trustworthy AI. 

Dipayan Ghosh, Ph.D co-director, Digital Platforms & Democracy Project, Senior Fellow Shorenstein Center on Media, Politics and Public Policy, Harvard Kennedy School joined our Advisory Board!

We are proud to announce you that Dipayan Ghosh, Ph.D co-director, Digital Platforms & Democracy Project, Senior Fellow Shorenstein Center on Media, Politics and Public Policy, Harvard Kennedy School, USA has joined our Advisory Board! 

His research and writing have been cited and published widely, with recent analysis appearing in The New York TimesThe Washington PostThe Wall Street JournalThe AtlanticThe GuardianForeign AffairsHarvard Business ReviewForeign Policy, Time, and CNN. He has also appeared on CNNMSNBCCNBCNPR and BBC. A computer scientist by training, Ghosh previously worked on global privacy and public policy issues at Facebook, where he led strategic efforts to address privacy and security issues at the company. Prior to Facebook, Ghosh was a technology and economic policy advisor in the Obama White House where he served across the Office of Science & Technology Policy and the National Economic Council. He focused on issues concerning big data’s impact on consumer privacy and the digital economy. He has also served as a public interest technology fellow at New America, a Washington-based public policy think tank. Ghosh received a Ph.D. in electrical engineering & computer science at Cornell University where he conducted research at the Wireless Intelligent Systems Lab, and completed post-doctoral work at University of California, Berkeley.

Professor Margaret Levi, Sara Miller McCune Director of the Center for Advanced Study in the Behavioral Sciences (CASBS) at Stanford University joined our Advisory Board!

We are proud to announce you that Professor Margaret Levi,  Sara Miller McCune Director of the Center for Advanced Study in the Behavioral Sciences (CASBS) at Stanford University, and Professor of Political Science, Stanford University, and Senior Fellow, Stanford Woods Institute for the Environment, USA , has joined our Advisory Board! 

CASBS @ Stanford brings together deep thinkers from diverse disciplines and communities to advance understanding of the full range of human beliefs, behaviors, interactions, and institutions. A leading incubator of human-centered knowledge, CASBS facilitates collaborations across academia, policy, industry, civil society, and government to collectively design a better future.