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The Center for the Study of Ethics in the Professions at Illinois Institute of Technology (Chicago, USA) launches The Ethical and Trustworthy AI Lab based on the Z-Inspection® Process.

March 15, 2022 /0 Comments/in /by

Chicago, March 15, 2022 The Ethical and Trustworthy AI Lab at Illinois Institute of Technology’s Center for the Study of Ethics in the Professions is an interdisciplinary group of researchers interested in the social and ethical implications of Artificial Intelligence (AI). The group investigates philosophical, ethical, and social aspects of AI including trustworthiness and the question of […]

Vision 2022

December 17, 2021 /0 Comments/in /by

1. Trustworthy AI Labs are established, based on the Z-Inspection® process Like this one in Helsinki; 2. Z-Inspection® process modules are incorporated into Master and PhD programs at selected universities, to equip a new generation of interdisciplinary students in assessment of ethical AI; 3. The Z-Inspection® process is leveraged in future European policy and regulation relating to […]

Arcada University of Applied Sciences (Helsinki, Finland) launches The Laboratory for Trustworthy AI based on the Z-Inspection® Process.

November 12, 2021 /0 Comments/in /by

Helsinki, November 12, 2021 The Laboratory for Trustworthy AI at Arcada University of Applied Sciences (Helsinki, Finland) is a transdisciplinary and international research community who trains organizations and actors to assess the use of artificial intelligence. The lab connects academia and civil society, including developers of AI solutions, students, end-users, researchers, and stakeholders. The Lab promotes a human-centric approach […]

Lessons Learned: Co-design of Trustworthy AI. Best Practice. By Helga Brogger, President of the Norwegian Society of Radiology

August 10, 2021 in , /by

Mission: “…Aid the development of designs with reduced end-user vulnerability…“ -“…Socio-technical scenarios can be used to broaden stakeholders’ understanding of one’s own role in the technology, as well as awareness of stakeholders’ interdependence…” – “…Recurrent, open-minded, and interdisciplinary discussions involving different perspectives of the broad problem definition….” – “…The early involvement of an interdisciplinary panel […]

Our paper ” Co-design of a Trustworthy AI System in Healthcare: Deep Learning based Skin Lesion Classifier.” has been accepted for publication in Frontiers in Human Dynamics

June 17, 2021 in /by

Co-design of a Trustworthy AI System in Healthcare: Deep Learning based Skin Lesion Classifier. Roberto V. Zicari (1)(2)(3), Sheraz Ahmed (4), Julia Amann (5), Stephan Alexander Braun (6)(7), John Brodersen (8)(9), Frédérick Bruneault (10), James Brusseau (11), Erik Campano (12), Megan Coffee (13), Andreas Dengel (4)(14), Boris Düdder (15), Alessio Gallucci (16), Thomas Krendl Gilbert (17), Philippe Gottfrois (18), Emmanuel Goffi (19), Christoffer Bjerre Haase (20), Thilo Hagendorff (21), Eleanore Hickman (22), Elisabeth […]

What did we learn in assessing Trustworthy AI in practice?

May 8, 2021 in /by

If you are interested and have time you can watch this video. It will give you an overview of our research work in the last 2.5 years, in assessing trustworthy AI in healthcare in practice: What did we learn in assessing Trustworthy AI in practice? Roberto V. Zicari, Z-Inspection® Initiative AI Ethics online–Chalmers, April 20, […]

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

April 21, 2021 in , /by

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

April 16, 2021 in , /by

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 […]

This AI detects cardiac arrests during emergency calls

March 27, 2021 in , /by

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® andidentified  ethical,technical and legal issues in using such AI system.This confirms some of the ethical concern raised […]

With Z-Inspection® we want to help to establish what we call a Mindful Use of AI (#MUAI).